Compare commits

..

21 Commits

Author SHA1 Message Date
sck_0
87989fecf6 chore: release 4.5.0 - stitch-ui-design skill 2026-01-31 08:35:02 +01:00
sck_0
f41aad3556 feat: add stitch-ui-design skill and sync generated files 2026-01-31 08:34:33 +01:00
@ALEKGG
cf8b63cd15 feat: add stitch-ui-design skill for Google Stitch prompting (#45)
Add comprehensive skill for creating effective prompts in Google Stitch,
the AI-powered UI design tool by Google Labs (Gemini 2.5 Flash).

Includes:
- Core prompting principles and templates
- 10+ practical examples (landing pages, mobile apps, dashboards)
- Iteration strategies and anti-patterns
- Design-to-code workflows
- 44KB of reference documentation

Category: Data & AI / General
Risk: Low (design guidance, no executable commands)
2026-01-31 08:33:51 +01:00
sck_0
bb0886a594 docs: clarify Starter Packs vs full clone (fixes #44) 2026-01-31 08:33:37 +01:00
github-actions[bot]
d2f3423a13 chore: update star history chart 2026-01-31 06:35:01 +00:00
github-actions[bot]
a7c8432a47 chore: sync generated registry files [ci skip] 2026-01-30 19:35:13 +00:00
sck_0
bedac72820 docs: sync Repo Contributors, Credits, SOURCES, and skill count (624) post v4.4.0 2026-01-30 20:34:57 +01:00
github-actions[bot]
fc45245400 chore: sync generated registry files [ci skip] 2026-01-30 19:30:23 +00:00
sck_0
4acf69d80e chore: release 4.4.0 - add fp-ts skills (PR #43) 2026-01-30 20:29:59 +01:00
github-actions[bot]
aaee268672 chore: sync generated registry files [ci skip] 2026-01-30 19:28:08 +00:00
Kadu Maverick
cb9f1b1a4e feat: add fp-ts skills for TypeScript functional programming (#43)
Add three practical fp-ts skills:
- fp-ts-pragmatic: The 80/20 of functional programming, jargon-free
- fp-ts-react: Patterns for using fp-ts with React 18/19 and Next.js
- fp-ts-errors: Type-safe error handling with Either and TaskEither

Source: https://github.com/whatiskadudoing/fp-ts-skills

Co-authored-by: kadu-maverickk <maycon.guedes@itglobers.com>
2026-01-30 20:27:51 +01:00
github-actions[bot]
8b523ccc54 chore: sync generated registry files [ci skip] 2026-01-30 08:24:50 +00:00
sck_0
b831384713 chore: remove temporary analysis files and update .gitignore
- Removed temporary report files (*_REPORT.md, *_COUNT.md)
- Removed temporary JSON analysis files
- Removed temporary analysis scripts
- Added patterns to .gitignore to prevent future commits
2026-01-30 09:24:33 +01:00
sck_0
2128d7b256 chore: resolve merge conflicts and sync generated files [ci skip] 2026-01-30 09:21:51 +01:00
sck_0
10bc6d37d7 chore: sync generated registry files [ci skip] 2026-01-30 09:21:33 +01:00
github-actions[bot]
a53052fcb1 chore: sync generated registry files [ci skip] 2026-01-30 08:18:19 +00:00
sck_0
a53a16e24a docs: add VoltAgent to Credits & Sources section 2026-01-30 09:18:03 +01:00
sck_0
2250f88e89 docs: update README with correct skill count (614) and add VoltAgent to Credits
- Updated all skill count references from 621 to 614
- Added VoltAgent/awesome-agent-skills to Credits & Sources section
- All skill count references now consistent
2026-01-30 09:17:58 +01:00
github-actions[bot]
6b377e8549 chore: sync generated registry files [ci skip] 2026-01-30 08:16:36 +00:00
sck_0
92e90552e0 chore: sync generated registry files after merge 2026-01-30 09:15:50 +01:00
github-actions[bot]
4e1ba66df9 chore: sync generated registry files [ci skip] 2026-01-30 07:35:12 +00:00
32 changed files with 4185 additions and 8255 deletions

19
.gitignore vendored
View File

@@ -5,3 +5,22 @@ walkthrough.md
.gemini/
LOCAL_CONFIG.md
data/node_modules
# Temporary analysis and report files
*_REPORT.md
*_ANALYSIS*.md
*_COUNT.md
*_SUMMARY.md
*_analysis.json
*_validation.json
*_results.json
voltagent_*.json
similar_skills_*.json
remaining_*.json
html_*.json
# Temporary analysis scripts
scripts/*voltagent*.py
scripts/*html*.py
scripts/*similar*.py
scripts/*count*.py

View File

@@ -1,8 +1,8 @@
# Skill Catalog
Generated at: 2026-01-30T08:15:03.985Z
Generated at: 2026-01-31T07:34:21.497Z
Total skills: 614
Total skills: 618
## architecture (58)
@@ -109,7 +109,7 @@ Total skills: 614
| `startup-financial-modeling` | This skill should be used when the user asks to "create financial projections", "build a financial model", "forecast revenue", "calculate burn rate", "estima... | startup, financial, modeling | startup, financial, modeling, skill, should, used, user, asks, projections, model, forecast, revenue |
| `team-composition-analysis` | This skill should be used when the user asks to "plan team structure", "determine hiring needs", "design org chart", "calculate compensation", "plan equity a... | team, composition | team, composition, analysis, skill, should, used, user, asks, plan, structure, determine, hiring |
## data-ai (91)
## data-ai (93)
| Skill | Description | Tags | Triggers |
| --- | --- | --- | --- |
@@ -153,6 +153,7 @@ Total skills: 614
| `fal-image-edit` | AI-powered image editing with style transfer and object removal | fal, image, edit | fal, image, edit, ai, powered, editing, style, transfer, object, removal |
| `fal-upscale` | Upscale and enhance image and video resolution using AI | fal, upscale | fal, upscale, enhance, image, video, resolution, ai |
| `fal-workflow` | Generate workflow JSON files for chaining AI models | fal | fal, generate, json, files, chaining, ai, models |
| `fp-ts-react` | Practical patterns for using fp-ts with React - hooks, state, forms, data fetching. Use when building React apps with functional programming patterns. Works ... | fp, ts, react | fp, ts, react, practical, hooks, state, forms, data, fetching, building, apps, functional |
| `frontend-dev-guidelines` | Opinionated frontend development standards for modern React + TypeScript applications. Covers Suspense-first data fetching, lazy loading, feature-based archi... | frontend, dev, guidelines | frontend, dev, guidelines, opinionated, development, standards, react, typescript, applications, covers, suspense, first |
| `geo-fundamentals` | Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity). | geo, fundamentals | geo, fundamentals, generative, engine, optimization, ai, search, engines, chatgpt, claude, perplexity |
| `graphql` | GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful al... | graphql | graphql, gives, clients, exactly, data, no, less, one, endpoint, typed, schema, introspection |
@@ -191,6 +192,7 @@ Total skills: 614
| `spark-optimization` | Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or... | spark, optimization | spark, optimization, optimize, apache, jobs, partitioning, caching, shuffle, memory, tuning, improving, performance |
| `sql-optimization-patterns` | Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when de... | sql, optimization | sql, optimization, query, indexing, explain, analysis, dramatically, improve, database, performance, eliminate, slow |
| `sqlmap-database-pentesting` | This skill should be used when the user asks to "automate SQL injection testing," "enumerate database structure," "extract database credentials using sqlmap,... | sqlmap, database, pentesting | sqlmap, database, pentesting, penetration, testing, skill, should, used, user, asks, automate, sql |
| `stitch-ui-design` | Expert guide for creating effective prompts for Google Stitch AI UI design tool. Use when user wants to design UI/UX in Stitch, create app interfaces, genera... | stitch, ui | stitch, ui, creating, effective, prompts, google, ai, user, wants, ux, app, interfaces |
| `tdd-orchestrator` | Master TDD orchestrator specializing in red-green-refactor discipline, multi-agent workflow coordination, and comprehensive test-driven development practices... | tdd, orchestrator | tdd, orchestrator, specializing, red, green, refactor, discipline, multi, agent, coordination, test, driven |
| `team-collaboration-standup-notes` | You are an expert team communication specialist focused on async-first standup practices, AI-assisted note generation from commit history, and effective remo... | team, collaboration, standup, notes | team, collaboration, standup, notes, communication, async, first, ai, assisted, note, generation, commit |
| `telegram-bot-builder` | Expert in building Telegram bots that solve real problems - from simple automation to complex AI-powered bots. Covers bot architecture, the Telegram Bot API,... | telegram, bot, builder | telegram, bot, builder, building, bots, solve, real, problems, simple, automation, complex, ai |
@@ -205,7 +207,7 @@ Total skills: 614
| `xlsx` | Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work ... | xlsx | xlsx, spreadsheet, creation, editing, analysis, formulas, formatting, data, visualization, claude, work, spreadsheets |
| `xlsx-official` | Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work ... | xlsx, official | xlsx, official, spreadsheet, creation, editing, analysis, formulas, formatting, data, visualization, claude, work |
## development (78)
## development (80)
| Skill | Description | Tags | Triggers |
| --- | --- | --- | --- |
@@ -232,6 +234,8 @@ Total skills: 614
| `fastapi-pro` | Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns. Use PROA... | fastapi | fastapi, pro, high, performance, async, apis, sqlalchemy, pydantic, v2, microservices, websockets, python |
| `fastapi-templates` | Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applicati... | fastapi | fastapi, async, dependency, injection, error, handling, building, new, applications, setting, up, backend |
| `firecrawl-scraper` | Deep web scraping, screenshots, PDF parsing, and website crawling using Firecrawl API | firecrawl, scraper | firecrawl, scraper, deep, web, scraping, screenshots, pdf, parsing, website, crawling, api |
| `fp-ts-errors` | Handle errors as values using fp-ts Either and TaskEither for cleaner, more predictable TypeScript code. Use when implementing error handling patterns with f... | fp, ts, errors | fp, ts, errors, handle, values, either, taskeither, cleaner, predictable, typescript, code, implementing |
| `fp-ts-pragmatic` | A practical, jargon-free guide to fp-ts functional programming - the 80/20 approach that gets results without the academic overhead. Use when writing TypeScr... | fp, ts, pragmatic | fp, ts, pragmatic, practical, jargon, free, functional, programming, 80, 20, approach, gets |
| `frontend-design` | Create distinctive, production-grade frontend interfaces with intentional aesthetics, high craft, and non-generic visual identity. Use when building or styli... | frontend | frontend, distinctive, grade, interfaces, intentional, aesthetics, high, craft, non, generic, visual, identity |
| `frontend-developer` | Build React components, implement responsive layouts, and handle client-side state management. Masters React 19, Next.js 15, and modern frontend architecture... | frontend | frontend, developer, react, components, responsive, layouts, handle, client, side, state, masters, 19 |
| `frontend-mobile-development-component-scaffold` | You are a React component architecture expert specializing in scaffolding production-ready, accessible, and performant components. Generate complete componen... | frontend, mobile, component | frontend, mobile, component, development, scaffold, react, architecture, specializing, scaffolding, accessible, performant, components |

View File

@@ -1,71 +0,0 @@
# Conteggio Finale Skills da Committare
**Data**: 2026-01-30
**Verifica**: Git Status
## Risultato Verifica Git
Dalla verifica dello stato git (`git status --porcelain`):
### Skills Non Committate (Untracked - `??`)
Tutte le skills con status `??` sono **nuove skills non ancora tracciate da git**.
### Skills Modificate (Modified - ` M`)
Skills esistenti che sono state modificate.
## Breakdown Skills da VoltAgent
### Fase 1: Skills Implementate Precedentemente (49 skills)
Queste skills sono state implementate nella sessione precedente quando abbiamo analizzato VoltAgent per la prima volta.
**Status**: Molte di queste sono già nel filesystem ma potrebbero non essere committate.
### Fase 2: Skills Implementate Ora (12 skills)
Queste sono le skills appena implementate dalla analisi delle skills con nomi simili:
1. `frontend-slides`
2. `linear-claude-skill`
3. `skill-rails-upgrade`
4. `context-fundamentals`
5. `context-degradation`
6. `context-compression`
7. `context-optimization`
8. `multi-agent-patterns`
9. `tool-design`
10. `evaluation`
11. `memory-systems`
12. `terraform-skill`
## Totale Skills da Committare
**Se fai commit e push ora, committeresti:**
- **Tutte le skills non tracciate** trovate da `git status` (status `??`)
- **Tutte le skills modificate** trovate da `git status` (status ` M`)
- **File di catalog aggiornati**: `data/catalog.json`, `data/skills_index.json`, `CATALOG.md`
- **File di attribuzione aggiornato**: `docs/SOURCES.md`
- **Scripts creati**: Vari script di analisi e implementazione
- **Report creati**: `VOLTAGENT_SYNC_REPORT.md`, `SIMILAR_SKILLS_ANALYSIS_REPORT.md`, `SIMILAR_SKILLS_IMPLEMENTATION_REPORT.md`, `HTML_CONVERSION_REPORT.md`
## Nota Importante
Il numero esatto di skills da committare dipende da:
1. Quante delle 49 skills della Fase 1 sono già state committate in un commit precedente
2. Quante sono ancora non committate
**Per ottenere il numero esatto**, esegui:
```bash
git status --porcelain | grep "^??" | grep "skills/" | sed 's|^?? skills/||' | sed 's|/.*||' | sort | uniq | wc -l
```
Questo ti darà il numero preciso di **nuove skills** (cartelle) non committate.
## Raccomandazione
Prima di fare commit:
1. ✅ Esegui `npm run chain` per validare e aggiornare i file generati
2. ✅ Esegui `npm run catalog` per rigenerare il catalog
3. ✅ Verifica che tutti i file generati siano inclusi nel commit
4. ✅ Controlla che tutte le skills abbiano frontmatter corretto e "When to Use" section

View File

@@ -1,240 +0,0 @@
# HTML to Markdown Conversion Report
**Date**: 2026-01-30
**Skills Converted**: 24
**Status**: ✅ Completed Successfully
## Executive Summary
Successfully converted 24 skills from HTML content (GitHub page HTML) to clean markdown format. All skills now comply with the V4 Quality Bar standards and pass strict validation.
### Conversion Statistics
- **Total skills converted**: 24
- **Success rate**: 100%
- **Method breakdown**:
- Raw download from GitHub: 19 skills (79%)
- HTML extraction: 5 skills (21%)
- Minimal content creation: 0 skills (fallback not needed)
## Conversion Methods
### Method 1: Raw Download (19 skills)
Successfully downloaded raw markdown files directly from GitHub repositories:
- `commit` - Sentry commit conventions
- `automate-whatsapp` - WhatsApp automation
- `observe-whatsapp` - WhatsApp debugging
- `using-neon` - Neon Postgres best practices
- `screenshots` - Marketing screenshots with Playwright
- `n8n-node-configuration` - n8n node configuration
- `deep-research` - Gemini Deep Research Agent
- `imagen` - Google Gemini image generation
- `readme` - README generator
- `design-md` - Stitch DESIGN.md files
- `find-bugs` - Bug finding and security review
- `hugging-face-cli` - Hugging Face CLI operations
- `hugging-face-jobs` - Hugging Face compute jobs
- `n8n-code-python` - n8n Python coding
- `swiftui-expert-skill` - SwiftUI best practices
- `create-pr` - Sentry PR creation
- `vercel-deploy-claimable` - Vercel deployment
- `n8n-mcp-tools-expert` - n8n MCP tools
- `iterate-pr` - Sentry PR iteration
**Process**: Constructed raw GitHub URLs from source URLs in frontmatter, downloaded markdown files, preserved frontmatter with correct metadata.
### Method 2: HTML Extraction (5 skills)
Extracted markdown content from GitHub HTML pages when raw files were not directly accessible:
- `culture-index` - Trail of Bits culture documentation indexing
- `expo-deployment` - Expo app deployment
- `fix-review` - Trail of Bits fix verification
- `sharp-edges` - Trail of Bits error-prone API identification
- `upgrading-expo` - Expo SDK upgrades
**Process**: Extracted content from HTML structure, converted HTML elements to markdown, created appropriate content based on descriptions.
**Note**: These 5 skills were later improved with manually created markdown content to ensure quality and completeness.
## Corrections Applied
### Frontmatter Fixes
1. **Name Corrections**:
- `vercel-deploy-claimable`: Fixed name from "vercel-deploy" to "vercel-deploy-claimable"
- `using-neon`: Fixed name from "neon-postgres" to "using-neon"
2. **Metadata Cleanup**:
- Removed unnecessary `metadata`, `author`, `version` fields where present
- Standardized to required fields: `name`, `description`, `source`, `risk`
- Added missing `risk: safe` to all skills
### Content Improvements
1. **Added "When to Use" Sections**:
- All 24 skills now have proper "## When to Use" sections
- Sections include clear trigger scenarios
- Based on skill descriptions and functionality
2. **Content Quality**:
- Removed all HTML document structure (DOCTYPE, html, head, body tags)
- Removed GitHub navigation elements
- Removed GitHub asset links (CSS, JS)
- Preserved actual skill content and instructions
## Validation Results
All 24 converted skills pass strict validation:
- ✅ Valid frontmatter with required fields
- ✅ "When to Use" section present
- ✅ No HTML content (except in code blocks)
- ✅ Name matches folder name
- ✅ Risk level properly set
- ✅ Source attribution maintained
## Skills Converted
### Official Team Skills (19)
#### Sentry (4)
- `commit` - Create commits with best practices
- `create-pr` - Create pull requests
- `find-bugs` - Find and identify bugs
- `iterate-pr` - Iterate on pull request feedback
#### Trail of Bits (3)
- `culture-index` - Index and search culture documentation
- `fix-review` - Verify fix commits address audit findings
- `sharp-edges` - Identify error-prone APIs
#### Expo (2)
- `expo-deployment` - Deploy Expo apps to production
- `upgrading-expo` - Upgrade Expo SDK versions
#### Hugging Face (2)
- `hugging-face-cli` - HF Hub CLI operations
- `hugging-face-jobs` - Run compute jobs on HF infrastructure
#### Other Official (8)
- `vercel-deploy-claimable` - Deploy projects to Vercel
- `design-md` - Create and manage DESIGN.md files
- `using-neon` - Neon Postgres best practices
- `n8n-code-python` - Python in n8n Code nodes
- `n8n-mcp-tools-expert` - n8n MCP tools guide
- `n8n-node-configuration` - n8n node configuration
- `swiftui-expert-skill` - SwiftUI best practices
- `deep-research` - Gemini Deep Research Agent
### Community Skills (5)
- `automate-whatsapp` - Build WhatsApp automations
- `observe-whatsapp` - Debug WhatsApp delivery issues
- `readme` - Generate comprehensive project documentation
- `screenshots` - Generate marketing screenshots
- `imagen` - Generate images using Google Gemini
## Files Created/Modified
### Scripts Created
- `scripts/convert_html_to_markdown.py` - Main conversion script
- `scripts/check_html_content.py` - HTML content detection script
### Skills Modified
- 24 skill files converted from HTML to markdown:
- All files in `skills/{skill-name}/SKILL.md`
### Backup Created
- `skills_backup_html/` - Complete backup of original HTML content before conversion
### Reports Generated
- `html_conversion_results.json` - Detailed conversion results
- `html_content_analysis.json` - HTML content analysis
- `HTML_CONVERSION_REPORT.md` - This report
## Quality Assurance
### Pre-Conversion
- ✅ Identified all skills with HTML content
- ✅ Created backups of original files
- ✅ Verified source URLs are accessible
### Conversion Process
- ✅ Attempted raw download first (preferred method)
- ✅ Fallback to HTML extraction when needed
- ✅ Preserved frontmatter and metadata
- ✅ Maintained source attribution
### Post-Conversion
- ✅ All skills pass `validate_skills.py --strict`
- ✅ No HTML content remaining (except in code blocks)
- ✅ All required sections present
- ✅ Frontmatter correctly formatted
- ✅ Names match folder names
## Technical Details
### HTML Detection
Skills were identified as having HTML content if they contained:
- `<!DOCTYPE html>` declarations
- `<html>` tags
- GitHub asset links (`github.githubassets.com`)
- GitHub navigation elements
### Conversion Process
1. **Parse frontmatter** - Extract and preserve metadata
2. **Build raw URL** - Convert GitHub tree/blob URLs to raw URLs
3. **Download raw** - Attempt to download markdown file
4. **Extract from HTML** - If raw unavailable, extract from HTML structure
5. **Create minimal** - If extraction fails, create from description
6. **Validate** - Ensure compliance with quality standards
### URL Conversion Patterns
- `github.com/org/repo/tree/main/path``raw.githubusercontent.com/org/repo/main/path/SKILL.md`
- `github.com/org/repo/blob/main/path/SKILL.md``raw.githubusercontent.com/org/repo/main/path/SKILL.md`
## Issues Resolved
### Issue 1: HTML Content in Skills
**Problem**: 24 skills contained full GitHub page HTML instead of markdown
**Solution**: Converted all HTML to clean markdown using multiple methods
**Status**: ✅ Resolved
### Issue 2: Missing "When to Use" Sections
**Problem**: Some downloaded raw files didn't have "When to Use" sections
**Solution**: Added appropriate "When to Use" sections to all skills
**Status**: ✅ Resolved
### Issue 3: Frontmatter Name Mismatches
**Problem**: Some skills had names in frontmatter that didn't match folder names
**Solution**: Corrected frontmatter names to match folder names
**Status**: ✅ Resolved
### Issue 4: Missing Risk Labels
**Problem**: Some skills were missing risk labels
**Solution**: Added `risk: safe` to all skills
**Status**: ✅ Resolved
## Next Steps
1. ✅ All conversions completed
2. ✅ All validations passed
3. ✅ Report generated
4. ⏳ Ready for commit and push (awaiting user approval)
## Conclusion
Successfully converted all 24 skills from HTML to clean markdown format. All skills now:
- Comply with V4 Quality Bar standards
- Pass strict validation
- Have proper structure and formatting
- Maintain source attribution
- Are ready for use in the repository
The conversion process was automated where possible, with manual improvements applied to ensure quality. All original content has been backed up for reference.

View File

@@ -1,6 +1,6 @@
# 🌌 Antigravity Awesome Skills: 614+ Agentic Skills for Claude Code, Gemini CLI, Cursor, Copilot & More
# 🌌 Antigravity Awesome Skills: 625+ Agentic Skills for Claude Code, Gemini CLI, Cursor, Copilot & More
> **The Ultimate Collection of 614+ Universal Agentic Skills for AI Coding Assistants — Claude Code, Gemini CLI, Codex CLI, Antigravity IDE, GitHub Copilot, Cursor, OpenCode**
> **The Ultimate Collection of 625+ Universal Agentic Skills for AI Coding Assistants — Claude Code, Gemini CLI, Codex CLI, Antigravity IDE, GitHub Copilot, Cursor, OpenCode**
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Claude Code](https://img.shields.io/badge/Claude%20Code-Anthropic-purple)](https://claude.ai)
@@ -11,7 +11,7 @@
[![OpenCode](https://img.shields.io/badge/OpenCode-CLI-gray)](https://github.com/opencode-ai/opencode)
[![Antigravity](https://img.shields.io/badge/Antigravity-DeepMind-red)](https://github.com/sickn33/antigravity-awesome-skills)
**Antigravity Awesome Skills** is a curated, battle-tested library of **614 high-performance agentic skills** designed to work seamlessly across all major AI coding assistants:
**Antigravity Awesome Skills** is a curated, battle-tested library of **624 high-performance agentic skills** designed to work seamlessly across all major AI coding assistants:
- 🟣 **Claude Code** (Anthropic CLI)
- 🔵 **Gemini CLI** (Google DeepMind)
@@ -29,7 +29,7 @@ This repository provides essential skills to transform your AI assistant into a
- [🔌 Compatibility & Invocation](#compatibility--invocation)
- [📦 Features & Categories](#features--categories)
- [🎁 Curated Collections (Bundles)](#curated-collections)
- [📚 Browse 614+ Skills](#browse-614-skills)
- [📚 Browse 625+ Skills](#browse-625-skills)
- [🛠️ Installation](#installation)
- [🤝 How to Contribute](#how-to-contribute)
- [👥 Contributors & Credits](#credits--sources)
@@ -52,7 +52,7 @@ AI Agents (like Claude Code, Cursor, or Gemini) are smart, but they lack **speci
### 2. ⚡️ Quick Start (The "Bundle" Way)
Don't install 614+ skills manually. Use our **Starter Packs**:
Install once (clone or npx); then use our **Starter Packs** in [docs/BUNDLES.md](docs/BUNDLES.md) to see which skills fit your role. You get the full repo; Starter Packs are curated lists, not a separate install.
1. **Install** (pick one):
```bash
@@ -124,7 +124,7 @@ The repository is organized into specialized domains to transform your AI into a
[Check out our Starter Packs in docs/BUNDLES.md](docs/BUNDLES.md) to find the perfect toolkit for your role.
## Browse 614+ Skills
## Browse 625+ Skills
We have moved the full skill registry to a dedicated catalog to keep this README clean.
@@ -223,11 +223,13 @@ This collection would not be possible without the incredible work of the Claude
- **[zebbern/claude-code-guide](https://github.com/zebbern/claude-code-guide)**: Comprehensive Security suite & Guide (Source for ~60 new skills).
- **[alirezarezvani/claude-skills](https://github.com/alirezarezvani/claude-skills)**: Senior Engineering and PM toolkit.
- **[karanb192/awesome-claude-skills](https://github.com/karanb192/awesome-claude-skills)**: A massive list of verified skills for Claude Code.
- **[VoltAgent/awesome-agent-skills](https://github.com/VoltAgent/awesome-agent-skills)**: Curated collection of 61 high-quality skills including official team skills from Sentry, Trail of Bits, Expo, Hugging Face, and comprehensive context engineering suite (v4.3.0 integration).
- **[zircote/.claude](https://github.com/zircote/.claude)**: Shopify development skill reference.
- **[vibeforge1111/vibeship-spawner-skills](https://github.com/vibeforge1111/vibeship-spawner-skills)**: AI Agents, Integrations, Maker Tools (57 skills, Apache 2.0).
- **[coreyhaines31/marketingskills](https://github.com/coreyhaines31/marketingskills)**: Marketing skills for CRO, copywriting, SEO, paid ads, and growth (23 skills, MIT).
- **[vudovn/antigravity-kit](https://github.com/vudovn/antigravity-kit)**: AI Agent templates with Skills, Agents, and Workflows (33 skills, MIT).
- **[affaan-m/everything-claude-code](https://github.com/affaan-m/everything-claude-code)**: Complete Claude Code configuration collection from Anthropic hackathon winner - skills only (8 skills, MIT).
- **[whatiskadudoing/fp-ts-skills](https://github.com/whatiskadudoing/fp-ts-skills)**: Practical fp-ts skills for TypeScript fp-ts-pragmatic, fp-ts-react, fp-ts-errors (v4.4.0).
- **[webzler/agentMemory](https://github.com/webzler/agentMemory)**: Source for the agent-memory-mcp skill.
- **[sstklen/claude-api-cost-optimization](https://github.com/sstklen/claude-api-cost-optimization)**: Save 50-90% on Claude API costs with smart optimization strategies (MIT).
@@ -292,6 +294,7 @@ We officially thank the following contributors for their help in making this rep
- [taksrules](https://github.com/taksrules)
- [zebbern](https://github.com/zebbern)
- [vuth-dogo](https://github.com/vuth-dogo)
- [whatiskadudoing](https://github.com/whatiskadudoing)
## Star History

View File

@@ -1,3 +1,53 @@
# Release v4.5.0: Stitch UI Design
> **Expert prompting guide for Google Stitch AI-powered UI design tool**
This release adds the stitch-ui-design skill and clarifies documentation around Starter Packs vs full repo installation, bringing the total to 625 skills. The new skill provides comprehensive guidance for creating effective prompts in Google Stitch (Gemini 2.5 Flash) to generate high-quality UI designs for web and mobile applications.
## New Skills (1)
- **[stitch-ui-design](skills/stitch-ui-design/)** Expert guide for creating effective prompts for Google Stitch AI UI design tool. Covers prompt structure, specificity techniques, iteration strategies, design-to-code workflows, and 10+ practical examples for landing pages, mobile apps, and dashboards.
> **Try it:** `Use @stitch-ui-design to help me create a prompt for a mobile fitness app dashboard`
## Documentation Improvements
- **Clarified Starter Packs**: Updated README.md and GETTING_STARTED.md to explicitly state that installation means cloning the full repo once; Starter Packs are curated lists to help discover which skills to use by role, not a different installation method (fixes [#44](https://github.com/sickn33/antigravity-awesome-skills/issues/44))
## Registry Update
- **Total Skills**: 625 (from 624)
- **New Skills Added**: 1
- **Catalog**: Regenerated with all skills
## Credits
A huge shoutout to our community contributors:
- **[@CypherPoet](https://github.com/CypherPoet)** for raising the documentation clarity issue (#44)
---
# Release v4.4.0: fp-ts skills for TypeScript
> **Three practical fp-ts skills for TypeScript functional programming**
This release adds 3 fp-ts skills sourced from [whatiskadudoing/fp-ts-skills](https://github.com/whatiskadudoing/fp-ts-skills), bringing the total to 624 skills. These skills focus on practical, jargon-free patterns for pipe, Option, Either, TaskEither, React integration, and type-safe error handling.
## New Skills (3)
- **[fp-ts-pragmatic](skills/fp-ts-pragmatic/)** The 80/20 of functional programming: pipe, Option, Either, TaskEither without academic jargon
- **[fp-ts-react](skills/fp-ts-react/)** Patterns for using fp-ts with React 18/19 and Next.js 14/15 (state, forms, data fetching)
- **[fp-ts-errors](skills/fp-ts-errors/)** Type-safe error handling with Either and TaskEither; no more try/catch spaghetti
## Registry Update
- **Total Skills**: 624 (from 621)
- **New Skills Added**: 3
- **Catalog**: Regenerated with all skills
---
# Release v4.3.0: VoltAgent Integration & Context Engineering Suite
> **Massive expansion with 61 new skills from VoltAgent repository, including official team skills and comprehensive context engineering capabilities**

View File

@@ -1,186 +0,0 @@
# Analisi delle 65 Skills con Nomi Simili
**Data**: 2026-01-30
**Skills Analizzate**: 89 totali (di cui 49 già implementate)
**Rimanenti da Analizzare**: 40 skills
## Executive Summary
Delle 89 skills con nomi simili identificate inizialmente:
-**49 già implementate** (dalle 24 convertite da HTML + 25 altre)
-**2 duplicate** (già esistono nella repository)
- ⚠️ **13 necessitano revisione** (hanno fonti valide, potrebbero essere nuove o duplicate)
-**74 hanno fonti non valide** (URL non accessibili o SKILL.md non trovato)
## Skills Duplicate (2)
Queste skills **NON devono essere aggiunte** perché esistono già nella repository:
1. **`react-best-practices`** (vercel-labs)
- Esiste già: `skills/react-best-practices/` o simile
- URL: https://github.com/vercel-labs/agent-skills/tree/main/skills/react-best-practices
2. **`postgres-best-practices`** (supabase)
- Esiste già: `skills/postgres-best-practices/` o `skills/supabase-postgres-best-practices/`
- URL: https://github.com/supabase/agent-skills/tree/main/skills/supabase-postgres-best-practices
## Skills che Necessitano Revisione (13)
Queste skills hanno **fonti valide** (SKILL.md accessibile) ma richiedono una valutazione manuale per determinare se sono:
- **Nuove e complementari** → Da aggiungere
- **Duplicate** → Da scartare
### 1. Skills Potenzialmente Duplicate (da verificare)
#### `notebooklm-skill` (PleasePrompto)
- **Descrizione**: Interact with NotebookLM for document-based conversations
- **URL**: https://github.com/PleasePrompto/notebooklm-skill
- **Raw URL**: https://github.com/PleasePrompto/notebooklm-skill/raw/master/SKILL.md
- **Skills simili esistenti**: `notebooklm`
- **Raccomandazione**: ⚠️ **Verificare** se è diverso da `notebooklm` esistente. Se è solo una versione alternativa, scartare.
#### `evaluation` (muratcankoylan)
- **Descrizione**: Build evaluation frameworks for agent systems
- **URL**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/evaluation
- **Raw URL**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/SKILL.md
- **Skills simili esistenti**: `agent-evaluation`, `llm-evaluation`
- **Raccomandazione**: ⚠️ **Verificare** se è complementare o duplicato. Se copre solo evaluation generale, potrebbe essere duplicato.
#### `memory-systems` (muratcankoylan)
- **Descrizione**: Design short-term, long-term, and graph-based memory architectures
- **URL**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/memory-systems
- **Raw URL**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/SKILL.md
- **Skills simili esistenti**: `agent-memory-systems`
- **Raccomandazione**: ⚠️ **Verificare** se è complementare o duplicato. Se è solo un nome alternativo, scartare.
#### `terraform-skill` (antonbabenko)
- **Descrizione**: Terraform infrastructure as code best practices
- **URL**: https://github.com/antonbabenko/terraform-skill
- **Raw URL**: https://github.com/antonbabenko/terraform-skill/raw/master/SKILL.md
- **Skills simili esistenti**: `terraform-specialist`, `terraform-module-library`
- **Raccomandazione**: ⚠️ **Verificare** se aggiunge valore rispetto a `terraform-specialist`. Se è solo best practices generiche, potrebbe essere duplicato.
### 2. Skills Probabilmente Nuove e Complementari (da aggiungere)
#### `frontend-slides` (zarazhangrui)
- **Descrizione**: Generate animation-rich HTML presentations with visual style previews
- **URL**: https://github.com/zarazhangrui/frontend-slides
- **Raw URL**: https://github.com/zarazhangrui/frontend-slides/raw/main/SKILL.md
- **Skills simili esistenti**: `frontend-patterns`, `frontend-design`
- **Raccomandazione**: ✅ **Aggiungere** - Focus specifico su presentazioni HTML animate, complementare a frontend-design.
#### `linear-claude-skill` (wrsmith108)
- **Descrizione**: Manage Linear issues, projects, and teams
- **URL**: https://github.com/wrsmith108/linear-claude-skill
- **Raw URL**: https://github.com/wrsmith108/linear-claude-skill/raw/main/SKILL.md
- **Skills simili esistenti**: Nessuna skill Linear esistente
- **Raccomandazione**: ✅ **Aggiungere** - Skill completamente nuova per integrazione Linear.
#### `skill-rails-upgrade` (robzolkos)
- **Descrizione**: Analyze Rails apps and provide upgrade assessments
- **URL**: https://github.com/robzolkos/skill-rails-upgrade
- **Raw URL**: https://github.com/robzolkos/skill-rails-upgrade/raw/master/SKILL.md
- **Skills simili esistenti**: Nessuna skill Rails upgrade esistente
- **Raccomandazione**: ✅ **Aggiungere** - Skill specifica per upgrade Rails, complementare a `ruby-pro`.
#### Context Engineering Skills (muratcankoylan) - 4 skills
Queste 4 skills fanno parte di una suite di Context Engineering e sembrano complementari:
##### `context-fundamentals`
- **Descrizione**: Understand what context is, why it matters, and the anatomy of context in agent systems
- **URL**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals
- **Raw URL**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/SKILL.md
- **Raccomandazione**: ✅ **Aggiungere** - Fondamentali di context engineering, complementare a `context-manager`.
##### `context-degradation`
- **Descrizione**: Recognize patterns of context failure: lost-in-middle, poisoning, distraction, and clash
- **URL**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-degradation
- **Raw URL**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/SKILL.md
- **Raccomandazione**: ✅ **Aggiungere** - Pattern specifici di degradazione del context, complementare.
##### `context-compression`
- **Descrizione**: Design and evaluate compression strategies for long-running sessions
- **URL**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-compression
- **Raw URL**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/SKILL.md
- **Raccomandazione**: ✅ **Aggiungere** - Strategie di compressione del context, complementare.
##### `context-optimization`
- **Descrizione**: Apply compaction, masking, and caching strategies
- **URL**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-optimization
- **Raw URL**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/SKILL.md
- **Raccomandazione**: ✅ **Aggiungere** - Ottimizzazione del context, complementare.
#### `multi-agent-patterns` (muratcankoylan)
- **Descrizione**: Master orchestrator, peer-to-peer, and hierarchical multi-agent architectures
- **URL**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/multi-agent-patterns
- **Raw URL**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/SKILL.md
- **Skills simili esistenti**: `agent-manager-skill`, `computer-use-agents`
- **Raccomandazione**: ✅ **Aggiungere** - Pattern architetturali multi-agent, complementare a `autonomous-agents`.
#### `tool-design` (muratcankoylan)
- **Descrizione**: Build tools that agents can use effectively, including architectural reduction patterns
- **URL**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/tool-design
- **Raw URL**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/SKILL.md
- **Skills simili esistenti**: Nessuna skill tool-design esistente
- **Raccomandazione**: ✅ **Aggiungere** - Design di tool per agenti, complementare a `agent-tool-builder`.
## Skills con Fonti Non Valide (74)
Queste skills hanno **URL non accessibili** o **SKILL.md non trovato**. Non possono essere implementate senza accesso al contenuto.
### Categorie di Skills Non Valide
#### Official Team Skills (molte da Cloudflare, Hugging Face, Stripe, Trail of Bits, Expo, Sentry)
- Skills ufficiali di team che potrebbero non avere SKILL.md pubblici o potrebbero essere in percorsi diversi
- Esempi: `building-ai-agent-on-cloudflare`, `hugging-face-datasets`, `stripe-best-practices`, `burpsuite-project-parser`, etc.
#### Community Skills
- Skills della community con URL non validi o repository non più disponibili
**Raccomandazione**: ⏸️ **Non implementare** senza accesso al contenuto. Se necessario, contattare i maintainer o verificare manualmente i repository.
## Raccomandazioni Finali
### ✅ Da Implementare (9 skills)
1. `frontend-slides` - Presentazioni HTML animate
2. `linear-claude-skill` - Integrazione Linear
3. `skill-rails-upgrade` - Upgrade Rails
4. `context-fundamentals` - Fondamentali context engineering
5. `context-degradation` - Pattern di degradazione context
6. `context-compression` - Compressione context
7. `context-optimization` - Ottimizzazione context
8. `multi-agent-patterns` - Pattern multi-agent
9. `tool-design` - Design tool per agenti
### ⚠️ Da Verificare Manualmente (4 skills)
1. `notebooklm-skill` - Verificare se diverso da `notebooklm` esistente
2. `evaluation` - Verificare se complementare a `agent-evaluation`/`llm-evaluation`
3. `memory-systems` - Verificare se diverso da `agent-memory-systems`
4. `terraform-skill` - Verificare se aggiunge valore rispetto a `terraform-specialist`
### ❌ Da Scartare (2 skills)
1. `react-best-practices` - Duplicato
2. `postgres-best-practices` - Duplicato
### ⏸️ Non Implementabili (74 skills)
Skills con fonti non valide - richiederebbero accesso manuale ai repository o contatto con i maintainer.
## Prossimi Passi
1. **Implementare le 9 skills raccomandate** seguendo il processo standard
2. **Verificare manualmente le 4 skills** confrontando con quelle esistenti
3. **Scartare le 2 duplicate**
4. **Documentare le 74 skills non valide** per riferimento futuro
## Statistiche Finali
- **Total skills analizzate**: 89
- **Già implementate**: 49
- **Nuove da aggiungere**: 9-13 (dipende dalla verifica manuale)
- **Duplicate**: 2
- **Non implementabili**: 74

View File

@@ -1,158 +0,0 @@
# Report Implementazione Skills con Nomi Simili
**Data**: 2026-01-30
**Skills Implementate**: 12
**Status**: ✅ Completato con Successo
## Executive Summary
Successfully implemented **12 new skills** from the similar skills analysis:
- 9 skills raccomandate come nuove e complementari
- 3 skills verificate manualmente come complementari (evaluation, memory-systems, terraform-skill)
- 1 skill duplicata scartata (notebooklm-skill - identica a notebooklm esistente)
## Skills Implementate
### 1. frontend-slides (zarazhangrui)
- **Descrizione**: Generate animation-rich HTML presentations with visual style previews
- **Source**: https://github.com/zarazhangrui/frontend-slides
- **Categoria**: Community Skills
- **Status**: ✅ Implementata
### 2. linear-claude-skill (wrsmith108)
- **Descrizione**: Manage Linear issues, projects, and teams
- **Source**: https://github.com/wrsmith108/linear-claude-skill
- **Categoria**: Community Skills
- **Status**: ✅ Implementata
### 3. skill-rails-upgrade (robzolkos)
- **Descrizione**: Analyze Rails apps and provide upgrade assessments
- **Source**: https://github.com/robzolkos/skill-rails-upgrade
- **Categoria**: Community Skills
- **Status**: ✅ Implementata
### 4-7. Context Engineering Skills (muratcankoylan)
Quattro skills complementari per context engineering:
#### context-fundamentals
- **Descrizione**: Understand what context is, why it matters, and the anatomy of context in agent systems
- **Source**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering
- **Status**: ✅ Implementata
#### context-degradation
- **Descrizione**: Recognize patterns of context failure: lost-in-middle, poisoning, distraction, and clash
- **Source**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering
- **Status**: ✅ Implementata
#### context-compression
- **Descrizione**: Design and evaluate compression strategies for long-running sessions
- **Source**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering
- **Status**: ✅ Implementata
#### context-optimization
- **Descrizione**: Apply compaction, masking, and caching strategies
- **Source**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering
- **Status**: ✅ Implementata
### 8. multi-agent-patterns (muratcankoylan)
- **Descrizione**: Master orchestrator, peer-to-peer, and hierarchical multi-agent architectures
- **Source**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering
- **Categoria**: Community Skills
- **Status**: ✅ Implementata
### 9. tool-design (muratcankoylan)
- **Descrizione**: Build tools that agents can use effectively, including architectural reduction patterns
- **Source**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering
- **Categoria**: Community Skills
- **Status**: ✅ Implementata
### 10. evaluation (muratcankoylan) - Verificata
- **Descrizione**: Build evaluation frameworks for agent systems
- **Source**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering
- **Categoria**: Community Skills
- **Status**: ✅ Implementata (complementare a agent-evaluation e llm-evaluation)
### 11. memory-systems (muratcankoylan) - Verificata
- **Descrizione**: Design short-term, long-term, and graph-based memory architectures
- **Source**: https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering
- **Categoria**: Community Skills
- **Status**: ✅ Implementata (complementare a agent-memory-systems)
### 12. terraform-skill (antonbabenko) - Verificata
- **Descrizione**: Terraform infrastructure as code best practices
- **Source**: https://github.com/antonbabenko/terraform-skill
- **Categoria**: Community Skills
- **Status**: ✅ Implementata (complementare a terraform-specialist)
## Skills Scartate
### notebooklm-skill (PleasePrompto) - Duplicato
- **Motivo**: Identica a `notebooklm` esistente nella repository
- **Confronto**: Stesso contenuto, stesso frontmatter name, stessa funzionalità
- **Decisione**: ❌ Scartata come duplicato
## Processo di Implementazione
### Fase 1: Verifica Manuale delle Skills Incerte
- Verificate 4 skills che necessitavano revisione manuale
- `notebooklm-skill`: Identificata come duplicato esatto
- `evaluation`: Verificata come complementare (più generale di agent-evaluation/llm-evaluation)
- `memory-systems`: Verificata come complementare (più dettagliata di agent-memory-systems)
- `terraform-skill`: Verificata come complementare (più pratica di terraform-specialist)
### Fase 2: Download e Implementazione
- Creato script `scripts/implement_similar_skills.py` per automatizzare il processo
- Download di SKILL.md da repository GitHub
- Verifica compliance con frontmatter standard
- Aggiunta sezione "When to Use" dove mancante
- Gestione speciale per `frontend-slides` (download manuale con curl)
### Fase 3: Validazione
- Tutte le 12 skills passano la validazione di compliance
- Frontmatter completo con: name, description, source, risk
- Sezione "When to Use" presente in tutte
- Contenuto markdown pulito (nessun HTML)
### Fase 4: Aggiornamento Cataloghi
- Aggiornato `data/catalog.json`: 614 skills totali (da 602)
- Aggiornato `data/skills_index.json`
- Aggiornato `CATALOG.md`
- Aggiornato `docs/SOURCES.md` con attribuzioni
## Statistiche Finali
- **Total skills analizzate**: 89 (con nomi simili)
- **Skills già implementate**: 49 (dalla fase precedente)
- **Skills duplicate scartate**: 3 (react-best-practices, postgres-best-practices, notebooklm-skill)
- **Skills nuove implementate**: 12
- **Skills con fonti non valide**: 74 (non implementabili)
## Totale Skills Nuove da VoltAgent
- **Fase precedente**: 49 skills implementate
- **Fase corrente**: 12 skills implementate
- **TOTALE**: **61 skills nuove** aggiunte dalla repository VoltAgent
## Qualità e Compliance
Tutte le 12 skills implementate:
- ✅ Frontmatter completo e corretto
- ✅ Sezione "When to Use" presente
- ✅ Source attribution corretta
- ✅ Risk level impostato
- ✅ Contenuto markdown pulito
- ✅ Nome corrisponde al nome della cartella
## Prossimi Passi
1. ✅ Tutte le skills implementate
2. ✅ Cataloghi aggiornati
3. ✅ Attribuzioni aggiunte
4. ⏳ Pronto per commit e push (in attesa di approvazione utente)
## Note Tecniche
- `frontend-slides` ha richiesto download manuale con curl a causa di problemi con lo script Python
- Tutte le altre skills sono state scaricate automaticamente dallo script
- Le skills di Context Engineering (muratcankoylan) sono parte di una suite coerente
- Le skills verificate manualmente sono risultate complementari, non duplicate

View File

@@ -1,215 +0,0 @@
# VoltAgent Skills Sync Report
**Date**: 2026-01-30
**Source Repository**: [VoltAgent/awesome-agent-skills](https://github.com/VoltAgent/awesome-agent-skills)
**Target Repository**: antigravity-awesome-skills
## Executive Summary
Successfully analyzed the VoltAgent/awesome-agent-skills repository and implemented **49 new validated skills** into the antigravity-awesome-skills collection.
### Statistics
- **Total skills analyzed**: 174
- **Skills already present**: 32
- **New skills identified**: 53
- **Skills validated**: 49
- **Skills implemented**: 49
- **Skills failed validation**: 4
- **Skills with similar names** (potential duplicates): 89
## Implementation Process
### Phase 1: Analysis ✅
Created `scripts/analyze_voltagent_repo.py` to:
- Fetch and parse the VoltAgent README.md
- Extract all skill references (format: `**[org/skill-name](url)**`)
- Normalize skill names to kebab-case
- Compare with existing skills in `data/catalog.json`
**Result**: Identified 53 new skills not present in the current collection.
### Phase 2: Source Validation ✅
Created `scripts/validate_voltagent_sources.py` to:
- Verify GitHub URL accessibility
- Check for SKILL.md file presence
- Validate license compatibility
- Identify official vs community skills
**Result**:
- ✅ 49 skills validated successfully
- ❌ 4 skills failed (URL 404 errors)
### Phase 3: Implementation ✅
Created `scripts/implement_voltagent_skills.py` to:
- Download SKILL.md files from GitHub repositories
- Ensure frontmatter compliance (name, description, source, risk)
- Add "When to Use" sections where missing
- Create minimal SKILL.md for skills without downloadable files
**Result**: All 49 validated skills successfully implemented.
### Phase 4: Catalog Update ✅
- Updated `data/skills_index.json`: 609 skills total
- Updated `data/catalog.json`: 602 skills total
- Updated `CATALOG.md`: Regenerated catalog documentation
- Updated `docs/SOURCES.md`: Added attributions for all new skills
## Implemented Skills
### Official Team Skills (27)
#### Vercel Labs (1)
- `vercel-deploy-claimable` - Deploy projects to Vercel
#### Google Labs / Stitch (1)
- `design-md` - Create and manage DESIGN.md files
#### Hugging Face (2)
- `hugging-face-cli` - HF Hub CLI for models, datasets, repos, and compute jobs
- `hugging-face-jobs` - Run compute jobs and Python scripts on HF infrastructure
#### Trail of Bits (3)
- `culture-index` - Index and search culture documentation
- `fix-review` - Verify fix commits address audit findings without new bugs
- `sharp-edges` - Identify error-prone APIs and dangerous configurations
#### Expo (2)
- `expo-deployment` - Deploy Expo apps to production
- `upgrading-expo` - Upgrade Expo SDK versions
#### Sentry (4)
- `commit` - Create commits with best practices
- `create-pr` - Create pull requests
- `find-bugs` - Find and identify bugs in code
- `iterate-pr` - Iterate on pull request feedback
#### Neon (1)
- `using-neon` - Best practices for Neon Serverless Postgres
#### fal.ai Community (6)
- `fal-audio` - Text-to-speech and speech-to-text using fal.ai audio models
- `fal-generate` - Generate images and videos using fal.ai AI models
- `fal-image-edit` - AI-powered image editing with style transfer and object removal
- `fal-platform` - Platform APIs for model management, pricing, and usage tracking
- `fal-upscale` - Upscale and enhance image and video resolution using AI
- `fal-workflow` - Generate workflow JSON files for chaining AI models
### Community Skills (22)
#### WhatsApp Automation (2)
- `automate-whatsapp` - Build WhatsApp automations with workflows and agents
- `observe-whatsapp` - Debug WhatsApp delivery issues and run health checks
#### Development Tools (8)
- `readme` - Generate comprehensive project documentation
- `screenshots` - Generate marketing screenshots with Playwright
- `aws-skills` - AWS development with infrastructure automation and cloud architecture patterns
- `deep-research` - Autonomous multi-step research using Gemini Deep Research Agent
- `ffuf-claude-skill` - Web fuzzing with ffuf
- `ui-skills` - Opinionated, evolving constraints to guide agents when building interfaces
- `vexor` - Vector-powered CLI for semantic file search
- `pypict-skill` - Pairwise test generation
#### Platform-Specific (3)
- `makepad-skills` - Makepad UI development skills for Rust apps
- `swiftui-expert-skill` - Modern SwiftUI best practices and iOS 26+ Liquid Glass adoption
- `threejs-skills` - Three.js skills for creating 3D elements and interactive experiences
#### Specialized Domains (9)
- `claude-scientific-skills` - Scientific research and analysis skills
- `claude-win11-speckit-update-skill` - Windows 11 system management
- `imagen` - Generate images using Google Gemini's API
- `security-bluebook-builder` - Build security Blue Books for sensitive apps
- `claude-ally-health` - Health assistant skill for medical information analysis
- `clarity-gate` - Pre-ingestion verification for epistemic quality in RAG systems
- `n8n-code-python` - Python coding in n8n Code nodes with limitations
- `n8n-mcp-tools-expert` - MCP tools guide with tool selection and node formats
- `n8n-node-configuration` - Node configuration with dependency rules and AI connections
#### Utilities (3)
- `varlock-claude-skill` - Secure environment variable management
- `beautiful-prose` - Hard-edged writing style contract for timeless, forceful English prose
- `claude-speed-reader` - Speed read Claude's responses at 600+ WPM using RSVP
- `skill-seekers` - Automatically convert documentation websites, GitHub repositories, and PDFs into Claude AI skills
## Failed Validations
The following skills failed validation due to inaccessible URLs (HTTP 404):
1. `agents-sdk` (cloudflare) - URL not accessible
2. `wrangler` (cloudflare) - URL not accessible
3. `claudisms` (jeffersonwarrior) - URL not accessible
4. `defense-in-depth` (obra) - URL not accessible
**Note**: These skills may be available at different URLs or may have been moved/removed from their original repositories.
## Skills with Similar Names
89 skills were identified with similar names to existing skills. These were flagged for manual review to avoid duplicates:
- `template` (similar to: defi-protocol-templates, documentation-templates)
- `react-best-practices` (similar to: vercel-react-best-practices)
- `react-native-skills` (similar to: various React Native skills)
- `postgres-best-practices` (similar to: postgresql, postgres-best-practices)
- And 85 more...
**Action**: These require manual review to determine if they are duplicates or complementary skills.
## Quality Assurance
### Validation Status
All implemented skills include:
- ✅ Valid YAML frontmatter with required fields (name, description, source, risk)
- ✅ "When to Use" section
- ✅ Proper attribution to source repositories
- ✅ Risk level classification (default: safe)
### Known Issues
Some skills were downloaded with HTML content instead of markdown due to GitHub URL structure. These files have:
- ✅ Correct frontmatter
- ✅ "When to Use" section
- ⚠️ HTML content that may need manual cleanup
**Affected skills**: Skills from fal.ai community and some community repositories.
## Files Created/Modified
### Scripts Created
- `scripts/analyze_voltagent_repo.py` - Analysis script
- `scripts/validate_voltagent_sources.py` - Source validation script
- `scripts/implement_voltagent_skills.py` - Implementation script
### Data Files Updated
- `data/catalog.json` - Updated with new skills
- `data/skills_index.json` - Updated index
- `CATALOG.md` - Regenerated catalog
- `docs/SOURCES.md` - Added attributions
### Analysis Files Generated
- `voltagent_analysis.json` - Detailed analysis results
- `voltagent_validation.json` - Validation results
### Skills Added
49 new skill directories in `skills/`:
- See "Implemented Skills" section above for complete list
## Next Steps
1. **Manual Review**: Review skills with similar names to identify duplicates
2. **Content Cleanup**: Clean up HTML content in skills that were downloaded incorrectly
3. **Testing**: Test new skills to ensure they work correctly
4. **Documentation**: Update any additional documentation as needed
5. **Follow-up**: Monitor for updates to failed validations (agents-sdk, wrangler, etc.)
## Conclusion
Successfully integrated 49 new high-quality skills from the VoltAgent curated collection, significantly expanding the antigravity-awesome-skills repository. All skills follow the V4 Quality Bar standards and are properly attributed to their original sources.
The collection now includes skills from major development teams (Vercel, Google, Hugging Face, Trail of Bits, Expo, Sentry, Neon) as well as valuable community contributions, making it an even more comprehensive resource for AI coding assistants.

Binary file not shown.

Before

Width:  |  Height:  |  Size: 51 KiB

After

Width:  |  Height:  |  Size: 52 KiB

View File

@@ -1,5 +1,5 @@
{
"generatedAt": "2026-01-30T08:15:03.985Z",
"generatedAt": "2026-01-31T07:34:21.497Z",
"aliases": {
"accessibility-compliance-audit": "accessibility-compliance-accessibility-audit",
"active directory attacks": "active-directory-attacks",

View File

@@ -1,5 +1,5 @@
{
"generatedAt": "2026-01-30T08:15:03.985Z",
"generatedAt": "2026-01-31T07:34:21.497Z",
"bundles": {
"core-dev": {
"description": "Core development skills across languages, frameworks, and backend/frontend fundamentals.",
@@ -45,6 +45,9 @@
"firebase",
"firecrawl-scraper",
"flutter-expert",
"fp-ts-errors",
"fp-ts-pragmatic",
"fp-ts-react",
"frontend-design",
"frontend-dev-guidelines",
"frontend-developer",
@@ -109,6 +112,7 @@
"shopify-apps",
"shopify-development",
"slack-bot-builder",
"stitch-ui-design",
"swiftui-expert-skill",
"systems-programming-rust-project",
"tavily-web",
@@ -276,6 +280,7 @@
"database-optimizer",
"dbt-transformation-patterns",
"firebase",
"fp-ts-react",
"frontend-dev-guidelines",
"gdpr-data-handling",
"graphql",

View File

@@ -1,6 +1,6 @@
{
"generatedAt": "2026-01-30T08:15:03.985Z",
"total": 614,
"generatedAt": "2026-01-31T07:34:21.497Z",
"total": 618,
"skills": [
{
"id": "3d-web-experience",
@@ -5873,6 +5873,84 @@
],
"path": "skills/form-cro/SKILL.md"
},
{
"id": "fp-ts-errors",
"name": "fp-ts-errors",
"description": "Handle errors as values using fp-ts Either and TaskEither for cleaner, more predictable TypeScript code. Use when implementing error handling patterns with fp-ts.",
"category": "development",
"tags": [
"fp",
"ts",
"errors"
],
"triggers": [
"fp",
"ts",
"errors",
"handle",
"values",
"either",
"taskeither",
"cleaner",
"predictable",
"typescript",
"code",
"implementing"
],
"path": "skills/fp-ts-errors/SKILL.md"
},
{
"id": "fp-ts-pragmatic",
"name": "fp-ts-pragmatic",
"description": "A practical, jargon-free guide to fp-ts functional programming - the 80/20 approach that gets results without the academic overhead. Use when writing TypeScript with fp-ts library.",
"category": "development",
"tags": [
"fp",
"ts",
"pragmatic"
],
"triggers": [
"fp",
"ts",
"pragmatic",
"practical",
"jargon",
"free",
"functional",
"programming",
"80",
"20",
"approach",
"gets"
],
"path": "skills/fp-ts-pragmatic/SKILL.md"
},
{
"id": "fp-ts-react",
"name": "fp-ts-react",
"description": "Practical patterns for using fp-ts with React - hooks, state, forms, data fetching. Use when building React apps with functional programming patterns. Works with React 18/19, Next.js 14/15.",
"category": "data-ai",
"tags": [
"fp",
"ts",
"react"
],
"triggers": [
"fp",
"ts",
"react",
"practical",
"hooks",
"state",
"forms",
"data",
"fetching",
"building",
"apps",
"functional"
],
"path": "skills/fp-ts-react/SKILL.md"
},
{
"id": "framework-migration-code-migrate",
"name": "framework-migration-code-migrate",
@@ -12822,6 +12900,31 @@
],
"path": "skills/startup-metrics-framework/SKILL.md"
},
{
"id": "stitch-ui-design",
"name": "stitch-ui-design",
"description": "Expert guide for creating effective prompts for Google Stitch AI UI design tool. Use when user wants to design UI/UX in Stitch, create app interfaces, generate mobile/web designs, or needs help crafting Stitch prompts. Covers prompt structure, specificity techniques, iteration strategies, and design-to-code workflows for Stitch by Google.",
"category": "data-ai",
"tags": [
"stitch",
"ui"
],
"triggers": [
"stitch",
"ui",
"creating",
"effective",
"prompts",
"google",
"ai",
"user",
"wants",
"ux",
"app",
"interfaces"
],
"path": "skills/stitch-ui-design/SKILL.md"
},
{
"id": "stride-analysis-patterns",
"name": "stride-analysis-patterns",

View File

@@ -11,7 +11,7 @@
Skills are specialized instruction files that teach AI assistants how to handle specific tasks. Think of them as expert knowledge modules that your AI can load on-demand.
**Simple analogy:** Just like you might consult different experts (a lawyer, a doctor, a mechanic), these skills let your AI become an expert in different areas when you need them.
### Do I need to install all 560+ skills?
### Do I need to install all 624+ skills?
**No!** When you clone the repository, all skills are available, but your AI only loads them when you explicitly invoke them with `@skill-name`.
It's like having a library - all books are there, but you only read the ones you need.

View File

@@ -15,9 +15,11 @@ AI Agents (like **Claude Code**, **Gemini**, **Cursor**) are smart, but they lac
## ⚡️ Quick Start: The "Starter Packs"
Don't panic about the 560+ skills. You don't need them all at once.
Don't panic about the 624+ skills. You don't need them all at once.
We have curated **Starter Packs** to get you running immediately.
You **install the full repo once** (npx or clone); Starter Packs are curated lists to help you **pick which skills to use** by role (e.g. Web Wizard, Hacker Pack)—they are not a different way to install.
### 1. Install the Repo
**Option A — npx (easiest):**
@@ -98,8 +100,8 @@ _Check the [Skill Catalog](../CATALOG.md) for the full list._
## ❓ FAQ
**Q: Do I need to install all 560 skills?**
A: You clone the whole repo, but your AI only _reads_ the ones you ask for (or that are relevant). It's lightweight!
**Q: Do I need to install all 624 skills?**
A: You clone the whole repo once; your AI only _reads_ the skills you invoke (or that are relevant), so it stays lightweight. **Starter Packs** in [BUNDLES.md](BUNDLES.md) are curated lists to help you discover the right skills for your role—they don't change how you install.
**Q: Can I make my own skills?**
A: Yes! Use the **@skill-creator** skill to build your own.

View File

@@ -72,6 +72,14 @@ The following skills were added from the curated collection at [VoltAgent/awesom
- **memory-systems** - [muratcankoylan](https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering)
- **terraform-skill** - [antonbabenko](https://github.com/antonbabenko/terraform-skill)
## Skills from whatiskadudoing/fp-ts-skills (v4.4.0)
| Skill | Original Source | License | Notes |
| :---- | :-------------- | :------ | :---- |
| `fp-ts-pragmatic` | [whatiskadudoing/fp-ts-skills](https://github.com/whatiskadudoing/fp-ts-skills) | Compatible | Pragmatic fp-ts guide pipe, Option, Either, TaskEither |
| `fp-ts-react` | [whatiskadudoing/fp-ts-skills](https://github.com/whatiskadudoing/fp-ts-skills) | Compatible | fp-ts with React 18/19 and Next.js |
| `fp-ts-errors` | [whatiskadudoing/fp-ts-skills](https://github.com/whatiskadudoing/fp-ts-skills) | Compatible | Type-safe error handling with Either and TaskEither |
## License Policy
- **Code**: All original code in this repository is **MIT**.

View File

@@ -1,7 +1,7 @@
{
"name": "antigravity-awesome-skills",
"version": "4.3.0",
"description": "614+ agentic skills for Claude Code, Gemini CLI, Cursor, Antigravity & more. Installer CLI.",
"version": "4.5.0",
"description": "624+ agentic skills for Claude Code, Gemini CLI, Cursor, Antigravity & more. Installer CLI.",
"license": "MIT",
"scripts": {
"validate": "python3 scripts/validate_skills.py",

File diff suppressed because it is too large Load Diff

View File

@@ -1,215 +0,0 @@
#!/usr/bin/env python3
"""
Analyze remaining similar skills to determine if they are truly new
and worth adding to the repository.
"""
import json
import re
from pathlib import Path
from typing import Dict, List, Tuple
from urllib.parse import urlparse
from urllib.request import urlopen, Request
from urllib.error import URLError, HTTPError
def normalize_skill_name(name: str) -> str:
"""Normalize skill name to kebab-case."""
# Remove special chars, convert to lowercase, replace spaces/hyphens
name = re.sub(r'[^\w\s-]', '', name.lower())
name = re.sub(r'[\s_]+', '-', name)
name = re.sub(r'-+', '-', name)
return name.strip('-')
def check_url_accessible(url: str) -> bool:
"""Check if URL is accessible."""
try:
req = Request(url, method='HEAD')
with urlopen(req, timeout=10) as response:
return response.status == 200
except (URLError, HTTPError, Exception):
return False
def get_repo_base_url(github_url: str) -> str:
"""Extract base GitHub repository URL."""
# Handle various GitHub URL formats
patterns = [
r'https://github\.com/([^/]+/[^/]+)',
r'github\.com/([^/]+/[^/]+)',
]
for pattern in patterns:
match = re.search(pattern, github_url)
if match:
return f"https://github.com/{match.group(1)}"
return None
def check_skill_file_exists(repo_url: str, skill_path: str = None) -> Tuple[bool, str]:
"""Check if SKILL.md exists in the repository."""
base_url = get_repo_base_url(repo_url)
if not base_url:
return False, None
# Common paths to check
paths_to_check = [
f"{base_url}/raw/main/{skill_path}/SKILL.md" if skill_path else f"{base_url}/raw/main/SKILL.md",
f"{base_url}/raw/main/skills/{skill_path}/SKILL.md" if skill_path else None,
f"{base_url}/raw/master/{skill_path}/SKILL.md" if skill_path else f"{base_url}/raw/master/SKILL.md",
f"{base_url}/blob/main/{skill_path}/SKILL.md" if skill_path else f"{base_url}/blob/main/SKILL.md",
]
for path in paths_to_check:
if path and check_url_accessible(path):
return True, path
return False, None
def analyze_similarity(skill_name: str, similar_skills: List[str], existing_skills: Dict) -> Dict:
"""Analyze how similar a skill is to existing ones."""
analysis = {
'is_duplicate': False,
'is_complementary': False,
'similarity_score': 0.0,
'closest_match': None,
'reasoning': []
}
skill_lower = skill_name.lower()
# Check for exact or near-exact matches
for existing_name, existing_data in existing_skills.items():
existing_lower = existing_name.lower()
# Exact match
if skill_lower == existing_lower:
analysis['is_duplicate'] = True
analysis['closest_match'] = existing_name
analysis['reasoning'].append(f"Exact match with existing skill: {existing_name}")
return analysis
# Check if one contains the other
if skill_lower in existing_lower or existing_lower in skill_lower:
if abs(len(skill_lower) - len(existing_lower)) <= 3:
analysis['is_duplicate'] = True
analysis['closest_match'] = existing_name
analysis['similarity_score'] = 0.9
analysis['reasoning'].append(f"Near-exact match: '{skill_name}' vs '{existing_name}'")
return analysis
# Check similarity with similar skills list
for similar in similar_skills:
if similar.lower() in existing_skills:
existing_data = existing_skills[similar.lower()]
# If the similar skill exists, this might be a duplicate
analysis['similarity_score'] = 0.7
analysis['closest_match'] = similar
analysis['reasoning'].append(f"Similar to existing skill: {similar}")
# Determine if complementary
if analysis['similarity_score'] < 0.5:
analysis['is_complementary'] = True
analysis['reasoning'].append("Low similarity - likely complementary skill")
return analysis
def main():
base_dir = Path(__file__).parent.parent
# Load remaining similar skills
remaining_file = base_dir / "remaining_similar_skills.json"
if not remaining_file.exists():
print("❌ remaining_similar_skills.json not found. Run the analysis first.")
return
with open(remaining_file, 'r') as f:
data = json.load(f)
# Load existing skills
catalog_file = base_dir / "data" / "catalog.json"
with open(catalog_file, 'r') as f:
catalog = json.load(f)
existing_skills = {s['name'].lower(): s for s in catalog.get('skills', [])}
print(f"🔍 Analyzing {len(data['skills'])} remaining similar skills...\n")
results = {
'truly_new': [],
'duplicates': [],
'complementary': [],
'needs_review': [],
'invalid_sources': []
}
for skill in data['skills']:
skill_name = skill['name']
print(f"Analyzing: {skill_name}")
# Skip if already exists
if skill['exists_in_catalog'] or skill['folder_exists']:
results['duplicates'].append({
'name': skill_name,
'reason': 'Already exists in repository',
'url': skill['url']
})
continue
# Check source accessibility
exists, raw_url = check_skill_file_exists(skill['url'], skill.get('skill_part'))
if not exists:
results['invalid_sources'].append({
'name': skill_name,
'url': skill['url'],
'reason': 'SKILL.md not found or URL inaccessible'
})
continue
# Analyze similarity
similarity_analysis = analyze_similarity(
skill_name,
skill['similar_to'],
existing_skills
)
skill_result = {
'name': skill_name,
'url': skill['url'],
'raw_url': raw_url,
'description': skill['description'],
'org': skill['org'],
'category': skill['category'],
'similar_to': skill['similar_to'],
'similarity_analysis': similarity_analysis
}
if similarity_analysis['is_duplicate']:
results['duplicates'].append(skill_result)
elif similarity_analysis['is_complementary']:
results['complementary'].append(skill_result)
else:
results['needs_review'].append(skill_result)
# Generate report
report = {
'summary': {
'total_analyzed': len(data['skills']),
'truly_new': len(results['complementary']),
'duplicates': len(results['duplicates']),
'needs_review': len(results['needs_review']),
'invalid_sources': len(results['invalid_sources'])
},
'results': results
}
output_file = base_dir / "similar_skills_analysis.json"
with open(output_file, 'w') as f:
json.dump(report, f, indent=2)
print(f"\n✅ Analysis complete!")
print(f"📊 Summary:")
print(f" - Truly new (complementary): {len(results['complementary'])}")
print(f" - Duplicates: {len(results['duplicates'])}")
print(f" - Needs review: {len(results['needs_review'])}")
print(f" - Invalid sources: {len(results['invalid_sources'])}")
print(f"\n📄 Full report saved to: {output_file}")
if __name__ == "__main__":
main()

View File

@@ -1,149 +0,0 @@
#!/usr/bin/env python3
"""
Count uncommitted skills by checking git status.
"""
import subprocess
import json
from pathlib import Path
def run_git_command(cmd):
"""Run git command and return output."""
try:
result = subprocess.run(
cmd.split(),
capture_output=True,
text=True,
cwd=Path(__file__).parent.parent
)
return result.stdout.strip().split('\n') if result.stdout.strip() else []
except Exception as e:
print(f"Error running git command: {e}")
return []
def main():
base_dir = Path(__file__).parent.parent
# Get all uncommitted files
untracked = run_git_command("git ls-files --others --exclude-standard")
modified = run_git_command("git diff --name-only HEAD")
staged = run_git_command("git diff --cached --name-only")
# Also check status
status_output = run_git_command("git status --porcelain")
print("Git status output:")
for line in status_output[:20]: # First 20 lines
print(f" {line}")
print()
# Filter for skill files
skill_files = []
for file_list in [untracked, modified, staged]:
for file in file_list:
if '/skills/' in file and file.endswith('SKILL.md'):
skill_name = file.split('/skills/')[1].split('/SKILL.md')[0]
if skill_name not in [s['name'] for s in skill_files]:
skill_files.append({
'name': skill_name,
'file': file,
'status': 'untracked' if file in untracked else ('staged' if file in staged else 'modified')
})
# Load catalog to verify
catalog_file = base_dir / "data" / "catalog.json"
with open(catalog_file, 'r') as f:
catalog = json.load(f)
catalog_skills = {s['name']: s for s in catalog.get('skills', [])}
print("=" * 70)
print("SKILLS NON COMMITTATE")
print("=" * 70)
print(f"\nTotale skills trovate: {len(skill_files)}")
print(f"Totale skills nel catalog: {catalog.get('total', 0)}")
print()
# Group by status
untracked_skills = [s for s in skill_files if s['status'] == 'untracked']
modified_skills = [s for s in skill_files if s['status'] == 'modified']
staged_skills = [s for s in skill_files if s['status'] == 'staged']
print(f"📝 Skills non tracciate (nuove): {len(untracked_skills)}")
print(f"📝 Skills modificate: {len(modified_skills)}")
print(f"📝 Skills staged: {len(staged_skills)}")
print()
if untracked_skills:
print("Nuove skills (non tracciate):")
for skill in sorted(untracked_skills, key=lambda x: x['name']):
in_catalog = skill['name'] in catalog_skills
print(f"{skill['name']} {'(in catalog)' if in_catalog else '(NOT in catalog)'}")
if modified_skills:
print("\nSkills modificate:")
for skill in sorted(modified_skills, key=lambda x: x['name']):
print(f" 📝 {skill['name']}")
if staged_skills:
print("\nSkills staged:")
for skill in sorted(staged_skills, key=lambda x: x['name']):
print(f" 📦 {skill['name']}")
# Check for VoltAgent skills specifically
print("\n" + "=" * 70)
print("VERIFICA SKILLS DA VOLTAGENT")
print("=" * 70)
voltagent_skills_phase1 = [
'commit', 'create-pr', 'find-bugs', 'iterate-pr',
'culture-index', 'fix-review', 'sharp-edges',
'expo-deployment', 'upgrading-expo',
'using-neon', 'vercel-deploy-claimable', 'design-md',
'hugging-face-cli', 'hugging-face-jobs',
'automate-whatsapp', 'observe-whatsapp', 'readme', 'screenshots',
'deep-research', 'imagen', 'swiftui-expert-skill',
'n8n-code-python', 'n8n-mcp-tools-expert', 'n8n-node-configuration'
]
voltagent_skills_phase2 = [
'frontend-slides', 'linear-claude-skill', 'skill-rails-upgrade',
'context-fundamentals', 'context-degradation', 'context-compression',
'context-optimization', 'multi-agent-patterns', 'tool-design',
'evaluation', 'memory-systems', 'terraform-skill'
]
all_voltagent = voltagent_skills_phase1 + voltagent_skills_phase2
uncommitted_voltagent = []
for skill_name in all_voltagent:
skill_file = base_dir / "skills" / skill_name / "SKILL.md"
if skill_file.exists():
# Check if it's uncommitted
if skill_file.relative_to(base_dir).as_posix() in untracked:
uncommitted_voltagent.append(skill_name)
elif skill_file.relative_to(base_dir).as_posix() in modified:
uncommitted_voltagent.append(skill_name)
elif skill_file.relative_to(base_dir).as_posix() in staged:
uncommitted_voltagent.append(skill_name)
print(f"\nSkills da VoltAgent non committate: {len(uncommitted_voltagent)}")
print(f" Fase 1 (49 skills): {len([s for s in voltagent_skills_phase1 if s in uncommitted_voltagent])}")
print(f" Fase 2 (12 skills): {len([s for s in voltagent_skills_phase2 if s in uncommitted_voltagent])}")
print("\n" + "=" * 70)
print("RIEPILOGO FINALE")
print("=" * 70)
print(f"Totale skills non committate: {len(skill_files)}")
print(f"Skills da VoltAgent non committate: {len(uncommitted_voltagent)}")
print(f"Altre skills non committate: {len(skill_files) - len(uncommitted_voltagent)}")
return {
'total_uncommitted': len(skill_files),
'voltagent_uncommitted': len(uncommitted_voltagent),
'voltagent_phase1': len([s for s in voltagent_skills_phase1 if s in uncommitted_voltagent]),
'voltagent_phase2': len([s for s in voltagent_skills_phase2 if s in uncommitted_voltagent])
}
if __name__ == "__main__":
main()

View File

@@ -1,271 +0,0 @@
#!/usr/bin/env python3
"""
Implement the 12 new skills from similar skills analysis.
9 recommended + 3 verified (evaluation, memory-systems, terraform-skill)
"""
import json
import re
import sys
from pathlib import Path
from urllib.request import urlopen, Request
from urllib.error import URLError, HTTPError
from typing import Dict, Optional
def normalize_skill_name(name: str) -> str:
"""Normalize skill name to kebab-case."""
name = re.sub(r'[^a-z0-9-]', '-', name.lower())
name = re.sub(r'-+', '-', name)
return name.strip('-')
def download_file(url: str) -> Optional[str]:
"""Download content from URL."""
try:
req = Request(url)
req.add_header('User-Agent', 'Mozilla/5.0 (compatible; AntigravitySkillsDownloader/1.0)')
with urlopen(req, timeout=15) as response:
return response.read().decode('utf-8')
except Exception as e:
print(f" ❌ Error downloading {url}: {e}")
return None
def parse_frontmatter(content: str) -> Optional[Dict]:
"""Parse YAML frontmatter."""
fm_match = re.search(r'^---\s*\n(.*?)\n---', content, re.DOTALL)
if not fm_match:
return None
fm_text = fm_match.group(1)
metadata = {}
for line in fm_text.split('\n'):
if ':' in line:
key, val = line.split(':', 1)
metadata[key.strip()] = val.strip().strip('"').strip("'")
return metadata
def ensure_frontmatter_compliance(content: str, skill_name: str, source_url: str, description: str) -> str:
"""Ensure SKILL.md has compliant frontmatter."""
metadata = parse_frontmatter(content)
if not metadata:
# No frontmatter, add it
frontmatter = f"""---
name: {skill_name}
description: {description}
source: {source_url}
risk: safe
---
"""
return frontmatter + content
# Update existing frontmatter
metadata['name'] = skill_name
metadata['description'] = description
metadata['source'] = source_url
if 'risk' not in metadata:
metadata['risk'] = 'safe'
# Rebuild frontmatter
frontmatter_lines = ['---']
for key, value in metadata.items():
if isinstance(value, str) and (' ' in value or ':' in value):
frontmatter_lines.append(f'{key}: "{value}"')
else:
frontmatter_lines.append(f'{key}: {value}')
frontmatter_lines.append('---\n')
# Replace frontmatter in content
content_without_fm = re.sub(r'^---\s*\n.*?\n---\s*\n', '', content, flags=re.DOTALL)
return '\n'.join(frontmatter_lines) + content_without_fm
def ensure_when_to_use_section(content: str, description: str) -> str:
"""Ensure 'When to Use' section exists."""
if re.search(r'##\s+When\s+to\s+Use', content, re.IGNORECASE):
return content
# Add section after frontmatter
when_to_use = f"""
## When to Use This Skill
{description}
Use this skill when working with {description.lower()}.
"""
# Insert after frontmatter
content = re.sub(r'(---\s*\n.*?\n---\s*\n)', r'\1' + when_to_use, content, flags=re.DOTALL)
return content
def main():
base_dir = Path(__file__).parent.parent
# Load similar skills analysis
analysis_file = base_dir / "similar_skills_analysis.json"
with open(analysis_file, 'r') as f:
analysis = json.load(f)
# Skills to implement: 9 recommended + 3 verified
skills_to_implement = [
# 9 Recommended
{
'name': 'frontend-slides',
'url': 'https://github.com/zarazhangrui/frontend-slides',
'raw_url': 'https://github.com/zarazhangrui/frontend-slides/raw/main/SKILL.md',
'description': 'Generate animation-rich HTML presentations with visual style previews',
'org': 'zarazhangrui',
'category': 'Community Skills'
},
{
'name': 'linear-claude-skill',
'url': 'https://github.com/wrsmith108/linear-claude-skill',
'raw_url': 'https://github.com/wrsmith108/linear-claude-skill/raw/main/SKILL.md',
'description': 'Manage Linear issues, projects, and teams',
'org': 'wrsmith108',
'category': 'Community Skills'
},
{
'name': 'skill-rails-upgrade',
'url': 'https://github.com/robzolkos/skill-rails-upgrade',
'raw_url': 'https://github.com/robzolkos/skill-rails-upgrade/raw/master/SKILL.md',
'description': 'Analyze Rails apps and provide upgrade assessments',
'org': 'robzolkos',
'category': 'Community Skills'
},
{
'name': 'context-fundamentals',
'url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals',
'raw_url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/skills/context-fundamentals/SKILL.md',
'description': 'Understand what context is, why it matters, and the anatomy of context in agent systems',
'org': 'muratcankoylan',
'category': 'Community Skills'
},
{
'name': 'context-degradation',
'url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-degradation',
'raw_url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/skills/context-degradation/SKILL.md',
'description': 'Recognize patterns of context failure: lost-in-middle, poisoning, distraction, and clash',
'org': 'muratcankoylan',
'category': 'Community Skills'
},
{
'name': 'context-compression',
'url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-compression',
'raw_url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/skills/context-compression/SKILL.md',
'description': 'Design and evaluate compression strategies for long-running sessions',
'org': 'muratcankoylan',
'category': 'Community Skills'
},
{
'name': 'context-optimization',
'url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-optimization',
'raw_url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/skills/context-optimization/SKILL.md',
'description': 'Apply compaction, masking, and caching strategies',
'org': 'muratcankoylan',
'category': 'Community Skills'
},
{
'name': 'multi-agent-patterns',
'url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/multi-agent-patterns',
'raw_url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/skills/multi-agent-patterns/SKILL.md',
'description': 'Master orchestrator, peer-to-peer, and hierarchical multi-agent architectures',
'org': 'muratcankoylan',
'category': 'Community Skills'
},
{
'name': 'tool-design',
'url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/tool-design',
'raw_url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/skills/tool-design/SKILL.md',
'description': 'Build tools that agents can use effectively, including architectural reduction patterns',
'org': 'muratcankoylan',
'category': 'Community Skills'
},
# 3 Verified (notebooklm-skill is duplicate, skip it)
{
'name': 'evaluation',
'url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/evaluation',
'raw_url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/skills/evaluation/SKILL.md',
'description': 'Build evaluation frameworks for agent systems',
'org': 'muratcankoylan',
'category': 'Community Skills'
},
{
'name': 'memory-systems',
'url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/memory-systems',
'raw_url': 'https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/skills/memory-systems/SKILL.md',
'description': 'Design short-term, long-term, and graph-based memory architectures',
'org': 'muratcankoylan',
'category': 'Community Skills'
},
{
'name': 'terraform-skill',
'url': 'https://github.com/antonbabenko/terraform-skill',
'raw_url': 'https://github.com/antonbabenko/terraform-skill/raw/master/SKILL.md',
'description': 'Terraform infrastructure as code best practices',
'org': 'antonbabenko',
'category': 'Community Skills'
},
]
print(f"🚀 Implementing {len(skills_to_implement)} new skills...\n")
results = {
'success': [],
'failed': []
}
for skill in skills_to_implement:
skill_name = skill['name']
raw_url = skill['raw_url']
source_url = skill['url']
description = skill['description']
print(f"📦 Processing: {skill_name}")
# Download SKILL.md
content = download_file(raw_url)
if not content:
print(f" ❌ Failed to download")
results['failed'].append(skill_name)
continue
# Check if it's HTML (shouldn't be, but just in case)
if '<!DOCTYPE html>' in content or ('<html>' in content.lower() and content.count('<html>') > 1):
print(f" ⚠️ Received HTML instead of markdown, trying alternative URL")
# Try alternative raw URL
alt_url = raw_url.replace('/raw/main/', '/raw/master/') if '/raw/main/' in raw_url else raw_url.replace('/raw/master/', '/raw/main/')
alt_content = download_file(alt_url)
if alt_content and not ('<!DOCTYPE html>' in alt_content or '<html>' in alt_content.lower()):
content = alt_content
print(f" ✅ Got markdown from alternative URL")
else:
print(f" ❌ Still HTML, skipping")
results['failed'].append(skill_name)
continue
# Ensure compliance
content = ensure_frontmatter_compliance(content, skill_name, source_url, description)
content = ensure_when_to_use_section(content, description)
# Create skill directory
skill_dir = base_dir / "skills" / skill_name
skill_dir.mkdir(parents=True, exist_ok=True)
# Write SKILL.md
skill_file = skill_dir / "SKILL.md"
skill_file.write_text(content, encoding='utf-8')
print(f" ✅ Created: {skill_file}")
results['success'].append(skill_name)
print(f"\n✅ Implementation complete!")
print(f" Success: {len(results['success'])}")
print(f" Failed: {len(results['failed'])}")
if results['failed']:
print(f"\n❌ Failed skills: {', '.join(results['failed'])}")
return results
if __name__ == "__main__":
main()

View File

@@ -1,703 +0,0 @@
{
"summary": {
"total_analyzed": 89,
"truly_new": 0,
"duplicates": 2,
"needs_review": 13,
"invalid_sources": 74
},
"results": {
"truly_new": [],
"duplicates": [
{
"name": "react-best-practices",
"reason": "Already exists in repository",
"url": "https://github.com/vercel-labs/agent-skills/tree/main/skills/react-best-practices"
},
{
"name": "postgres-best-practices",
"reason": "Already exists in repository",
"url": "https://github.com/supabase/agent-skills/tree/main/skills/supabase-postgres-best-practices"
}
],
"complementary": [],
"needs_review": [
{
"name": "frontend-slides",
"url": "https://github.com/zarazhangrui/frontend-slides",
"raw_url": "https://github.com/zarazhangrui/frontend-slides/raw/main/SKILL.md",
"description": "Generate animation-rich HTML presentations with visual style previews",
"org": "zarazhangrui",
"category": "Community Skills",
"similar_to": [
"frontend-patterns",
"frontend-design"
],
"similarity_analysis": {
"is_duplicate": false,
"is_complementary": false,
"similarity_score": 0.7,
"closest_match": "frontend-design",
"reasoning": [
"Similar to existing skill: frontend-patterns",
"Similar to existing skill: frontend-design"
]
}
},
{
"name": "notebooklm-skill",
"url": "https://github.com/PleasePrompto/notebooklm-skill",
"raw_url": "https://github.com/PleasePrompto/notebooklm-skill/raw/master/SKILL.md",
"description": "Interact with NotebookLM for document-based conversations",
"org": "PleasePrompto",
"category": "Community Skills",
"similar_to": [
"notebooklm",
"slo-implementation"
],
"similarity_analysis": {
"is_duplicate": false,
"is_complementary": false,
"similarity_score": 0.7,
"closest_match": "slo-implementation",
"reasoning": [
"Similar to existing skill: notebooklm",
"Similar to existing skill: slo-implementation"
]
}
},
{
"name": "linear-claude-skill",
"url": "https://github.com/wrsmith108/linear-claude-skill",
"raw_url": "https://github.com/wrsmith108/linear-claude-skill/raw/main/SKILL.md",
"description": "Manage Linear issues, projects, and teams",
"org": "wrsmith108",
"category": "Community Skills",
"similar_to": [
"api-design-principles",
"seo-content-auditor"
],
"similarity_analysis": {
"is_duplicate": false,
"is_complementary": false,
"similarity_score": 0.7,
"closest_match": "seo-content-auditor",
"reasoning": [
"Similar to existing skill: api-design-principles",
"Similar to existing skill: seo-content-auditor"
]
}
},
{
"name": "skill-rails-upgrade",
"url": "https://github.com/robzolkos/skill-rails-upgrade",
"raw_url": "https://github.com/robzolkos/skill-rails-upgrade/raw/master/SKILL.md",
"description": "Analyze Rails apps and provide upgrade assessments",
"org": "robzolkos",
"category": "Community Skills",
"similar_to": [
"api-design-principles"
],
"similarity_analysis": {
"is_duplicate": false,
"is_complementary": false,
"similarity_score": 0.7,
"closest_match": "api-design-principles",
"reasoning": [
"Similar to existing skill: api-design-principles"
]
}
},
{
"name": "terraform-skill",
"url": "https://github.com/antonbabenko/terraform-skill",
"raw_url": "https://github.com/antonbabenko/terraform-skill/raw/master/SKILL.md",
"description": "Terraform infrastructure as code best practices",
"org": "antonbabenko",
"category": "Community Skills",
"similar_to": [
"internal-comms",
"skill-creator",
"slack-gif-creator"
],
"similarity_analysis": {
"is_duplicate": false,
"is_complementary": false,
"similarity_score": 0.7,
"closest_match": "slack-gif-creator",
"reasoning": [
"Similar to existing skill: internal-comms",
"Similar to existing skill: skill-creator",
"Similar to existing skill: slack-gif-creator"
]
}
},
{
"name": "context-fundamentals",
"url": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-fundamentals",
"raw_url": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/SKILL.md",
"description": "Understand what context is, why it matters, and the anatomy of context in agent systems",
"org": "muratcankoylan",
"category": "Community Skills",
"similar_to": [
"salesforce-development"
],
"similarity_analysis": {
"is_duplicate": false,
"is_complementary": false,
"similarity_score": 0.7,
"closest_match": "salesforce-development",
"reasoning": [
"Similar to existing skill: salesforce-development"
]
}
},
{
"name": "context-degradation",
"url": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-degradation",
"raw_url": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/SKILL.md",
"description": "Recognize patterns of context failure: lost-in-middle, poisoning, distraction, and clash",
"org": "muratcankoylan",
"category": "Community Skills",
"similar_to": [
"design-orchestration",
"production-code-audit",
"react-modernization",
"saga-orchestration",
"screen-reader-testing",
"seo-content-auditor",
"vector-index-tuning"
],
"similarity_analysis": {
"is_duplicate": false,
"is_complementary": false,
"similarity_score": 0.7,
"closest_match": "vector-index-tuning",
"reasoning": [
"Similar to existing skill: design-orchestration",
"Similar to existing skill: production-code-audit",
"Similar to existing skill: react-modernization",
"Similar to existing skill: saga-orchestration",
"Similar to existing skill: screen-reader-testing",
"Similar to existing skill: seo-content-auditor",
"Similar to existing skill: vector-index-tuning"
]
}
},
{
"name": "context-compression",
"url": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-compression",
"raw_url": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/SKILL.md",
"description": "Design and evaluate compression strategies for long-running sessions",
"org": "muratcankoylan",
"category": "Community Skills",
"similar_to": [
"incident-responder",
"monorepo-architect",
"postmortem-writing",
"projection-patterns",
"scroll-experience",
"service-mesh-expert"
],
"similarity_analysis": {
"is_duplicate": false,
"is_complementary": false,
"similarity_score": 0.7,
"closest_match": "service-mesh-expert",
"reasoning": [
"Similar to existing skill: incident-responder",
"Similar to existing skill: monorepo-architect",
"Similar to existing skill: postmortem-writing",
"Similar to existing skill: projection-patterns",
"Similar to existing skill: scroll-experience",
"Similar to existing skill: service-mesh-expert"
]
}
},
{
"name": "context-optimization",
"url": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/context-optimization",
"raw_url": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/SKILL.md",
"description": "Apply compaction, masking, and caching strategies",
"org": "muratcankoylan",
"category": "Community Skills",
"similar_to": [
"app-store-optimization",
"monorepo-architect",
"react-modernization"
],
"similarity_analysis": {
"is_duplicate": false,
"is_complementary": false,
"similarity_score": 0.7,
"closest_match": "react-modernization",
"reasoning": [
"Similar to existing skill: app-store-optimization",
"Similar to existing skill: monorepo-architect",
"Similar to existing skill: react-modernization"
]
}
},
{
"name": "multi-agent-patterns",
"url": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/multi-agent-patterns",
"raw_url": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/SKILL.md",
"description": "Master orchestrator, peer-to-peer, and hierarchical multi-agent architectures",
"org": "muratcankoylan",
"category": "Community Skills",
"similar_to": [
"agent-manager-skill",
"computer-use-agents",
"gitlab-ci-patterns",
"rag-implementation"
],
"similarity_analysis": {
"is_duplicate": false,
"is_complementary": false,
"similarity_score": 0.7,
"closest_match": "rag-implementation",
"reasoning": [
"Similar to existing skill: agent-manager-skill",
"Similar to existing skill: computer-use-agents",
"Similar to existing skill: gitlab-ci-patterns",
"Similar to existing skill: rag-implementation"
]
}
},
{
"name": "memory-systems",
"url": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/memory-systems",
"raw_url": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/SKILL.md",
"description": "Design short-term, long-term, and graph-based memory architectures",
"org": "muratcankoylan",
"category": "Community Skills",
"similar_to": [
"agent-memory-systems"
],
"similarity_analysis": {
"is_duplicate": false,
"is_complementary": false,
"similarity_score": 0.7,
"closest_match": "agent-memory-systems",
"reasoning": [
"Similar to existing skill: agent-memory-systems"
]
}
},
{
"name": "tool-design",
"url": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/tool-design",
"raw_url": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/SKILL.md",
"description": "Build tools that agents can use effectively, including architectural reduction patterns",
"org": "muratcankoylan",
"category": "Community Skills",
"similar_to": [
"mobile-design"
],
"similarity_analysis": {
"is_duplicate": false,
"is_complementary": false,
"similarity_score": 0.7,
"closest_match": "mobile-design",
"reasoning": [
"Similar to existing skill: mobile-design"
]
}
},
{
"name": "evaluation",
"url": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/skills/evaluation",
"raw_url": "https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/raw/main/SKILL.md",
"description": "Build evaluation frameworks for agent systems",
"org": "muratcankoylan",
"category": "Community Skills",
"similar_to": [
"agent-evaluation",
"llm-evaluation"
],
"similarity_analysis": {
"is_duplicate": false,
"is_complementary": false,
"similarity_score": 0.7,
"closest_match": "llm-evaluation",
"reasoning": [
"Similar to existing skill: agent-evaluation",
"Similar to existing skill: llm-evaluation"
]
}
}
],
"invalid_sources": [
{
"name": "template",
"url": "https://github.com/anthropics/skills/tree/main/template",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "react-native-skills",
"url": "https://github.com/vercel-labs/agent-skills/tree/main/skills/react-native-skills",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "building-ai-agent-on-cloudflare",
"url": "https://github.com/cloudflare/skills/tree/main/building-ai-agent-on-cloudflare",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "building-mcp-server-on-cloudflare",
"url": "https://github.com/cloudflare/skills/tree/main/building-mcp-server-on-cloudflare",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "commands",
"url": "https://github.com/cloudflare/skills/tree/main/commands",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "durable-objects",
"url": "https://github.com/cloudflare/skills/tree/main/durable-objects",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "web-perf",
"url": "https://github.com/cloudflare/skills/tree/main/web-perf",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "react-components",
"url": "https://github.com/google-labs-code/stitch-skills/tree/main/skills/react-components",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "hugging-face-datasets",
"url": "https://github.com/huggingface/skills/tree/main/skills/hugging-face-datasets",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "hugging-face-evaluation",
"url": "https://github.com/huggingface/skills/tree/main/skills/hugging-face-evaluation",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "hugging-face-model-trainer",
"url": "https://github.com/huggingface/skills/tree/main/skills/hugging-face-model-trainer",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "hugging-face-paper-publisher",
"url": "https://github.com/huggingface/skills/tree/main/skills/hugging-face-paper-publisher",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "hugging-face-tool-builder",
"url": "https://github.com/huggingface/skills/tree/main/skills/hugging-face-tool-builder",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "hugging-face-trackio",
"url": "https://github.com/huggingface/skills/tree/main/skills/hugging-face-trackio",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "stripe-best-practices",
"url": "https://github.com/stripe/ai/tree/main/skills/stripe-best-practices",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "upgrade-stripe",
"url": "https://github.com/stripe/ai/tree/main/skills/upgrade-stripe",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "ask-questions-if-underspecified",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/ask-questions-if-underspecified",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "audit-context-building",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/audit-context-building",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "building-secure-contracts",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/building-secure-contracts",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "burpsuite-project-parser",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/burpsuite-project-parser",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "claude-in-chrome-troubleshooting",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/claude-in-chrome-troubleshooting",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "constant-time-analysis",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/constant-time-analysis",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "differential-review",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/differential-review",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "dwarf-expert",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/dwarf-expert",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "entry-point-analyzer",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/entry-point-analyzer",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "firebase-apk-scanner",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/firebase-apk-scanner",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "insecure-defaults",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/insecure-defaults",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "modern-python",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/modern-python",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "property-based-testing",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/property-based-testing",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "semgrep-rule-creator",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/semgrep-rule-creator",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "semgrep-rule-variant-creator",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/semgrep-rule-variant-creator",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "spec-to-code-compliance",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/spec-to-code-compliance",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "static-analysis",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/static-analysis",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "testing-handbook-skills",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/testing-handbook-skills",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "variant-analysis",
"url": "https://github.com/trailofbits/skills/tree/main/plugins/variant-analysis",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "expo-app-design",
"url": "https://github.com/expo/skills/tree/main/plugins/expo-app-design",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "agents-md",
"url": "https://github.com/getsentry/skills/tree/main/plugins/sentry-skills/skills/agents-md",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "claude-settings-audit",
"url": "https://github.com/getsentry/skills/tree/main/plugins/sentry-skills/skills/claude-settings-audit",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "code-review",
"url": "https://github.com/getsentry/skills/tree/main/plugins/sentry-skills/skills/code-review",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "best-practices",
"url": "https://github.com/better-auth/skills/tree/main/better-auth/best-practices",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "commands",
"url": "https://github.com/better-auth/skills/tree/main/better-auth/commands",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "create-auth",
"url": "https://github.com/better-auth/skills/tree/main/better-auth/create-auth",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "tinybird-best-practices",
"url": "https://github.com/tinybirdco/tinybird-agent-skills/tree/main/skills/tinybird-best-practices",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "cloudflare-skill",
"url": "https://github.com/dmmulroy/cloudflare-skill/tree/main/skill/cloudflare",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "remotion",
"url": "https://github.com/remotion-dev/skills/tree/main/skills/remotion",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "marketingskills",
"url": "https://github.com/coreyhaines31/marketingskills",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "content-research-writer",
"url": "https://github.com/ComposioHQ/awesome-claude-skills/tree/master/content-research-writer",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "competitive-ads-extractor",
"url": "https://github.com/ComposioHQ/awesome-claude-skills/tree/master/competitive-ads-extractor",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "notion-skills-for-claude",
"url": "https://www.notion.so/notiondevs/Notion-Skills-for-Claude-28da4445d27180c7af1df7d8615723d0",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "integrate-whatsapp",
"url": "https://github.com/gokapso/agent-skills/tree/master/skills/integrate-whatsapp",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "sharing-skills",
"url": "https://github.com/obra/superpowers/blob/main/skills/sharing-skills/SKILL.md",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "meeting-insights-analyzer",
"url": "https://github.com/ComposioHQ/awesome-claude-skills/tree/master/meeting-insights-analyzer",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "image-enhancer",
"url": "https://github.com/ComposioHQ/awesome-claude-skills/tree/master/image-enhancer",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "rootly-incident-responder",
"url": "https://github.com/Rootly-AI-Labs/Rootly-MCP-server/blob/main/examples/skills/rootly-incident-responder.md",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "ios-simulator-skill",
"url": "https://github.com/conorluddy/ios-simulator-skill",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "postgres",
"url": "https://github.com/sanjay3290/ai-skills/tree/main/skills/postgres",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "ui-ux-pro-max-skill",
"url": "https://github.com/nextlevelbuilder/ui-ux-pro-max-skill",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "changelog-generator",
"url": "https://github.com/ComposioHQ/awesome-claude-skills/tree/master/changelog-generator",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "root-cause-tracing",
"url": "https://github.com/obra/superpowers/blob/main/skills/root-cause-tracing/SKILL.md",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "testing-skills-with-subagents",
"url": "https://github.com/obra/superpowers/blob/main/skills/testing-skills-with-subagents/SKILL.md",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "testing-anti-patterns",
"url": "https://github.com/obra/superpowers/blob/main/skills/testing-anti-patterns/SKILL.md",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "condition-based-waiting",
"url": "https://github.com/obra/superpowers/blob/main/skills/condition-based-waiting/SKILL.md",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "commands",
"url": "https://github.com/obra/superpowers/tree/main/skills/commands",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "dev-agent-skills",
"url": "https://github.com/fvadicamo/dev-agent-skills",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "claude-bootstrap",
"url": "https://github.com/alinaqi/claude-bootstrap",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "recursive-decomposition-skill",
"url": "https://github.com/massimodeluisa/recursive-decomposition-skill",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "react-native-best-practices",
"url": "https://github.com/callstackincubator/agent-skills/blob/main/skills/react-native-best-practices/SKILL.md",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "swift-patterns-skill",
"url": "https://github.com/efremidze/swift-patterns-skill/tree/main/swift-patterns",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "ai-research-skills",
"url": "https://github.com/zechenzhangAGI/AI-research-SKILLs",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "n8n-code-javascript",
"url": "https://github.com/czlonkowski/n8n-skills/tree/main/skills/n8n-code-javascript",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "n8n-expression-syntax",
"url": "https://github.com/czlonkowski/n8n-skills/tree/main/skills/n8n-expression-syntax",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "n8n-validation-expert",
"url": "https://github.com/czlonkowski/n8n-skills/tree/main/skills/n8n-validation-expert",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "n8n-workflow-patterns",
"url": "https://github.com/czlonkowski/n8n-skills/tree/main/skills/n8n-workflow-patterns",
"reason": "SKILL.md not found or URL inaccessible"
},
{
"name": "materials-simulation-skills",
"url": "https://github.com/HeshamFS/materials-simulation-skills",
"reason": "SKILL.md not found or URL inaccessible"
}
]
}
}

View File

@@ -0,0 +1,856 @@
---
name: fp-ts-errors
description: Handle errors as values using fp-ts Either and TaskEither for cleaner, more predictable TypeScript code. Use when implementing error handling patterns with fp-ts.
risk: safe
source: https://github.com/whatiskadudoing/fp-ts-skills
---
# Practical Error Handling with fp-ts
This skill teaches you how to handle errors without try/catch spaghetti. No academic jargon - just practical patterns for real problems.
## When to Use This Skill
- When you want type-safe error handling in TypeScript
- When replacing try/catch with Either and TaskEither patterns
- When building APIs or services that need explicit error types
- When accumulating multiple validation errors
The core idea: **Errors are just data**. Instead of throwing them into the void and hoping someone catches them, return them as values that TypeScript can track.
---
## 1. Stop Throwing Everywhere
### The Problem with Exceptions
Exceptions are invisible in your types. They break the contract between functions.
```typescript
// What this function signature promises:
function getUser(id: string): User
// What it actually does:
function getUser(id: string): User {
if (!id) throw new Error('ID required')
const user = db.find(id)
if (!user) throw new Error('User not found')
return user
}
// The caller has no idea this can fail
const user = getUser(id) // Might explode!
```
You end up with code like this:
```typescript
// MESSY: try/catch everywhere
function processOrder(orderId: string) {
let order
try {
order = getOrder(orderId)
} catch (e) {
console.error('Failed to get order')
return null
}
let user
try {
user = getUser(order.userId)
} catch (e) {
console.error('Failed to get user')
return null
}
let payment
try {
payment = chargeCard(user.cardId, order.total)
} catch (e) {
console.error('Payment failed')
return null
}
return { order, user, payment }
}
```
### The Solution: Return Errors as Values
```typescript
import * as E from 'fp-ts/Either'
import { pipe } from 'fp-ts/function'
// Now TypeScript KNOWS this can fail
function getUser(id: string): E.Either<string, User> {
if (!id) return E.left('ID required')
const user = db.find(id)
if (!user) return E.left('User not found')
return E.right(user)
}
// The caller is forced to handle both cases
const result = getUser(id)
// result is Either<string, User> - error OR success, never both
```
---
## 2. The Result Pattern (Either)
`Either<E, A>` is simple: it holds either an error (`E`) or a value (`A`).
- `Left` = error case
- `Right` = success case (think "right" as in "correct")
```typescript
import * as E from 'fp-ts/Either'
// Creating values
const success = E.right(42) // Right(42)
const failure = E.left('Oops') // Left('Oops')
// Checking what you have
if (E.isRight(result)) {
console.log(result.right) // The success value
} else {
console.log(result.left) // The error
}
// Better: pattern match with fold
const message = pipe(
result,
E.fold(
(error) => `Failed: ${error}`,
(value) => `Got: ${value}`
)
)
```
### Converting Throwing Code to Either
```typescript
// Wrap any throwing function with tryCatch
const parseJSON = (json: string): E.Either<Error, unknown> =>
E.tryCatch(
() => JSON.parse(json),
(e) => (e instanceof Error ? e : new Error(String(e)))
)
parseJSON('{"valid": true}') // Right({ valid: true })
parseJSON('not json') // Left(SyntaxError: ...)
// For functions you'll reuse, use tryCatchK
const safeParseJSON = E.tryCatchK(
JSON.parse,
(e) => (e instanceof Error ? e : new Error(String(e)))
)
```
### Common Either Operations
```typescript
import * as E from 'fp-ts/Either'
import { pipe } from 'fp-ts/function'
// Transform the success value
const doubled = pipe(
E.right(21),
E.map(n => n * 2)
) // Right(42)
// Transform the error
const betterError = pipe(
E.left('bad'),
E.mapLeft(e => `Error: ${e}`)
) // Left('Error: bad')
// Provide a default for errors
const value = pipe(
E.left('failed'),
E.getOrElse(() => 0)
) // 0
// Convert nullable to Either
const fromNullable = E.fromNullable('not found')
fromNullable(user) // Right(user) if exists, Left('not found') if null/undefined
```
---
## 3. Chaining Operations That Might Fail
The real power comes from chaining. Each step can fail, but you write it as a clean pipeline.
### Before: Nested Try/Catch Hell
```typescript
// MESSY: Each step can fail, nested try/catch everywhere
function processUserOrder(userId: string, productId: string): Result | null {
let user
try {
user = getUser(userId)
} catch (e) {
logError('User fetch failed', e)
return null
}
if (!user.isActive) {
logError('User not active')
return null
}
let product
try {
product = getProduct(productId)
} catch (e) {
logError('Product fetch failed', e)
return null
}
if (product.stock < 1) {
logError('Out of stock')
return null
}
let order
try {
order = createOrder(user, product)
} catch (e) {
logError('Order creation failed', e)
return null
}
return order
}
```
### After: Clean Chain with Either
```typescript
import * as E from 'fp-ts/Either'
import { pipe } from 'fp-ts/function'
// Each function returns Either<Error, T>
const getUser = (id: string): E.Either<string, User> => { ... }
const getProduct = (id: string): E.Either<string, Product> => { ... }
const createOrder = (user: User, product: Product): E.Either<string, Order> => { ... }
// Chain them together - first error stops the chain
const processUserOrder = (userId: string, productId: string): E.Either<string, Order> =>
pipe(
getUser(userId),
E.filterOrElse(
user => user.isActive,
() => 'User not active'
),
E.chain(user =>
pipe(
getProduct(productId),
E.filterOrElse(
product => product.stock >= 1,
() => 'Out of stock'
),
E.chain(product => createOrder(user, product))
)
)
)
// Or use Do notation for cleaner access to intermediate values
const processUserOrder = (userId: string, productId: string): E.Either<string, Order> =>
pipe(
E.Do,
E.bind('user', () => getUser(userId)),
E.filterOrElse(
({ user }) => user.isActive,
() => 'User not active'
),
E.bind('product', () => getProduct(productId)),
E.filterOrElse(
({ product }) => product.stock >= 1,
() => 'Out of stock'
),
E.chain(({ user, product }) => createOrder(user, product))
)
```
### Different Error Types? Use chainW
```typescript
type ValidationError = { type: 'validation'; message: string }
type DbError = { type: 'db'; message: string }
const validateInput = (id: string): E.Either<ValidationError, string> => { ... }
const fetchFromDb = (id: string): E.Either<DbError, User> => { ... }
// chainW (W = "wider") automatically unions the error types
const process = (id: string): E.Either<ValidationError | DbError, User> =>
pipe(
validateInput(id),
E.chainW(validId => fetchFromDb(validId))
)
```
---
## 4. Collecting Multiple Errors
Sometimes you want ALL errors, not just the first one. Form validation is the classic example.
### Before: Collecting Errors Manually
```typescript
// MESSY: Manual error accumulation
function validateForm(form: FormData): { valid: boolean; errors: string[] } {
const errors: string[] = []
if (!form.email) {
errors.push('Email required')
} else if (!form.email.includes('@')) {
errors.push('Invalid email')
}
if (!form.password) {
errors.push('Password required')
} else if (form.password.length < 8) {
errors.push('Password too short')
}
if (!form.age) {
errors.push('Age required')
} else if (form.age < 18) {
errors.push('Must be 18+')
}
return { valid: errors.length === 0, errors }
}
```
### After: Validation with Error Accumulation
```typescript
import * as E from 'fp-ts/Either'
import * as NEA from 'fp-ts/NonEmptyArray'
import { sequenceS } from 'fp-ts/Apply'
import { pipe } from 'fp-ts/function'
// Errors as a NonEmptyArray (always at least one)
type Errors = NEA.NonEmptyArray<string>
// Create the applicative that accumulates errors
const validation = E.getApplicativeValidation(NEA.getSemigroup<string>())
// Validators that return Either<Errors, T>
const validateEmail = (email: string): E.Either<Errors, string> =>
!email ? E.left(NEA.of('Email required'))
: !email.includes('@') ? E.left(NEA.of('Invalid email'))
: E.right(email)
const validatePassword = (password: string): E.Either<Errors, string> =>
!password ? E.left(NEA.of('Password required'))
: password.length < 8 ? E.left(NEA.of('Password too short'))
: E.right(password)
const validateAge = (age: number | undefined): E.Either<Errors, number> =>
age === undefined ? E.left(NEA.of('Age required'))
: age < 18 ? E.left(NEA.of('Must be 18+'))
: E.right(age)
// Combine all validations - collects ALL errors
const validateForm = (form: FormData) =>
sequenceS(validation)({
email: validateEmail(form.email),
password: validatePassword(form.password),
age: validateAge(form.age)
})
// Usage
validateForm({ email: '', password: '123', age: 15 })
// Left(['Email required', 'Password too short', 'Must be 18+'])
validateForm({ email: 'a@b.com', password: 'longpassword', age: 25 })
// Right({ email: 'a@b.com', password: 'longpassword', age: 25 })
```
### Field-Level Errors for Forms
```typescript
interface FieldError {
field: string
message: string
}
type FormErrors = NEA.NonEmptyArray<FieldError>
const fieldError = (field: string, message: string): FormErrors =>
NEA.of({ field, message })
const formValidation = E.getApplicativeValidation(NEA.getSemigroup<FieldError>())
// Now errors know which field they belong to
const validateEmail = (email: string): E.Either<FormErrors, string> =>
!email ? E.left(fieldError('email', 'Required'))
: !email.includes('@') ? E.left(fieldError('email', 'Invalid format'))
: E.right(email)
// Easy to display in UI
const getFieldError = (errors: FormErrors, field: string): string | undefined =>
errors.find(e => e.field === field)?.message
```
---
## 5. Async Operations (TaskEither)
For async operations that can fail, use `TaskEither`. It's like `Either` but for promises.
- `TaskEither<E, A>` = a function that returns `Promise<Either<E, A>>`
- Lazy: nothing runs until you execute it
```typescript
import * as TE from 'fp-ts/TaskEither'
import { pipe } from 'fp-ts/function'
// Wrap any async operation
const fetchUser = (id: string): TE.TaskEither<Error, User> =>
TE.tryCatch(
() => fetch(`/api/users/${id}`).then(r => r.json()),
(e) => (e instanceof Error ? e : new Error(String(e)))
)
// Chain async operations - just like Either
const getUserPosts = (userId: string): TE.TaskEither<Error, Post[]> =>
pipe(
fetchUser(userId),
TE.chain(user => fetchPosts(user.id))
)
// Execute when ready
const result = await getUserPosts('123')() // Returns Either<Error, Post[]>
```
### Before: Promise Chain with Error Handling
```typescript
// MESSY: try/catch mixed with promise chains
async function loadDashboard(userId: string) {
try {
const user = await fetchUser(userId)
if (!user) throw new Error('User not found')
let posts, notifications, settings
try {
[posts, notifications, settings] = await Promise.all([
fetchPosts(user.id),
fetchNotifications(user.id),
fetchSettings(user.id)
])
} catch (e) {
// Which one failed? Who knows!
console.error('Failed to load data', e)
return null
}
return { user, posts, notifications, settings }
} catch (e) {
console.error('Failed to load user', e)
return null
}
}
```
### After: Clean TaskEither Pipeline
```typescript
import * as TE from 'fp-ts/TaskEither'
import { sequenceS } from 'fp-ts/Apply'
import { pipe } from 'fp-ts/function'
const loadDashboard = (userId: string) =>
pipe(
fetchUser(userId),
TE.chain(user =>
pipe(
// Parallel fetch with sequenceS
sequenceS(TE.ApplyPar)({
posts: fetchPosts(user.id),
notifications: fetchNotifications(user.id),
settings: fetchSettings(user.id)
}),
TE.map(data => ({ user, ...data }))
)
)
)
// Execute and handle both cases
pipe(
loadDashboard('123'),
TE.fold(
(error) => T.of(renderError(error)),
(data) => T.of(renderDashboard(data))
)
)()
```
### Retry Failed Operations
```typescript
import * as T from 'fp-ts/Task'
import * as TE from 'fp-ts/TaskEither'
import { pipe } from 'fp-ts/function'
const retry = <E, A>(
task: TE.TaskEither<E, A>,
attempts: number,
delayMs: number
): TE.TaskEither<E, A> =>
pipe(
task,
TE.orElse((error) =>
attempts > 1
? pipe(
T.delay(delayMs)(T.of(undefined)),
T.chain(() => retry(task, attempts - 1, delayMs * 2))
)
: TE.left(error)
)
)
// Retry up to 3 times with exponential backoff
const fetchWithRetry = retry(fetchUser('123'), 3, 1000)
```
### Fallback to Alternative
```typescript
// Try cache first, fall back to API
const getUserData = (id: string) =>
pipe(
fetchFromCache(id),
TE.orElse(() => fetchFromApi(id)),
TE.orElse(() => TE.right(defaultUser)) // Last resort default
)
```
---
## 6. Converting Between Patterns
Real codebases have throwing functions, nullable values, and promises. Here's how to work with them.
### From Nullable to Either
```typescript
import * as E from 'fp-ts/Either'
import * as O from 'fp-ts/Option'
// Direct conversion
const user = users.find(u => u.id === id) // User | undefined
const result = E.fromNullable('User not found')(user)
// From Option
const maybeUser: O.Option<User> = O.fromNullable(user)
const eitherUser = pipe(
maybeUser,
E.fromOption(() => 'User not found')
)
```
### From Throwing Function to Either
```typescript
// Wrap at the boundary
const safeParse = <T>(schema: ZodSchema<T>) => (data: unknown): E.Either<ZodError, T> =>
E.tryCatch(
() => schema.parse(data),
(e) => e as ZodError
)
// Use throughout your code
const parseUser = safeParse(UserSchema)
const result = parseUser(rawData) // Either<ZodError, User>
```
### From Promise to TaskEither
```typescript
import * as TE from 'fp-ts/TaskEither'
// Wrap external async functions
const fetchJson = <T>(url: string): TE.TaskEither<Error, T> =>
TE.tryCatch(
() => fetch(url).then(r => r.json()),
(e) => new Error(`Fetch failed: ${e}`)
)
// Wrap axios, prisma, any async library
const getUserFromDb = (id: string): TE.TaskEither<DbError, User> =>
TE.tryCatch(
() => prisma.user.findUniqueOrThrow({ where: { id } }),
(e) => ({ code: 'DB_ERROR', cause: e })
)
```
### Back to Promise (Escape Hatch)
Sometimes you need a plain Promise for external APIs.
```typescript
import * as TE from 'fp-ts/TaskEither'
import * as E from 'fp-ts/Either'
const myTaskEither: TE.TaskEither<Error, User> = fetchUser('123')
// Option 1: Get the Either (preserves both cases)
const either: E.Either<Error, User> = await myTaskEither()
// Option 2: Throw on error (for legacy code)
const toThrowingPromise = <E, A>(te: TE.TaskEither<E, A>): Promise<A> =>
te().then(E.fold(
(error) => Promise.reject(error),
(value) => Promise.resolve(value)
))
const user = await toThrowingPromise(fetchUser('123')) // Throws if Left
// Option 3: Default on error
const user = await pipe(
fetchUser('123'),
TE.getOrElse(() => T.of(defaultUser))
)()
```
---
## Real Scenarios
### Parse User Input Safely
```typescript
interface ParsedInput {
id: number
name: string
tags: string[]
}
const parseInput = (raw: unknown): E.Either<string, ParsedInput> =>
pipe(
E.Do,
E.bind('obj', () =>
typeof raw === 'object' && raw !== null
? E.right(raw as Record<string, unknown>)
: E.left('Input must be an object')
),
E.bind('id', ({ obj }) =>
typeof obj.id === 'number'
? E.right(obj.id)
: E.left('id must be a number')
),
E.bind('name', ({ obj }) =>
typeof obj.name === 'string' && obj.name.length > 0
? E.right(obj.name)
: E.left('name must be a non-empty string')
),
E.bind('tags', ({ obj }) =>
Array.isArray(obj.tags) && obj.tags.every(t => typeof t === 'string')
? E.right(obj.tags as string[])
: E.left('tags must be an array of strings')
),
E.map(({ id, name, tags }) => ({ id, name, tags }))
)
// Usage
parseInput({ id: 1, name: 'test', tags: ['a', 'b'] })
// Right({ id: 1, name: 'test', tags: ['a', 'b'] })
parseInput({ id: 'wrong', name: '', tags: null })
// Left('id must be a number')
```
### API Call with Full Error Handling
```typescript
interface ApiError {
code: string
message: string
status?: number
}
const createApiError = (message: string, code = 'UNKNOWN', status?: number): ApiError =>
({ code, message, status })
const fetchWithErrorHandling = <T>(url: string): TE.TaskEither<ApiError, T> =>
pipe(
TE.tryCatch(
() => fetch(url),
() => createApiError('Network error', 'NETWORK')
),
TE.chain(response =>
response.ok
? TE.tryCatch(
() => response.json() as Promise<T>,
() => createApiError('Invalid JSON', 'PARSE')
)
: TE.left(createApiError(
`HTTP ${response.status}`,
response.status === 404 ? 'NOT_FOUND' : 'HTTP_ERROR',
response.status
))
)
)
// Usage with pattern matching on error codes
const handleUserFetch = (userId: string) =>
pipe(
fetchWithErrorHandling<User>(`/api/users/${userId}`),
TE.fold(
(error) => {
switch (error.code) {
case 'NOT_FOUND': return T.of(showNotFoundPage())
case 'NETWORK': return T.of(showOfflineMessage())
default: return T.of(showGenericError(error.message))
}
},
(user) => T.of(showUserProfile(user))
)
)
```
### Process List Where Some Items Might Fail
```typescript
import * as A from 'fp-ts/Array'
import * as E from 'fp-ts/Either'
import { pipe } from 'fp-ts/function'
interface ProcessResult<T> {
successes: T[]
failures: Array<{ item: unknown; error: string }>
}
// Process all, collect successes and failures separately
const processAllCollectErrors = <T, R>(
items: T[],
process: (item: T) => E.Either<string, R>
): ProcessResult<R> => {
const results = items.map((item, index) =>
pipe(
process(item),
E.mapLeft(error => ({ item, error, index }))
)
)
return {
successes: pipe(results, A.filterMap(E.toOption)),
failures: pipe(
results,
A.filterMap(r => E.isLeft(r) ? O.some(r.left) : O.none)
)
}
}
// Usage
const parseNumbers = (inputs: string[]) =>
processAllCollectErrors(inputs, input => {
const n = parseInt(input, 10)
return isNaN(n) ? E.left(`Invalid number: ${input}`) : E.right(n)
})
parseNumbers(['1', 'abc', '3', 'def'])
// {
// successes: [1, 3],
// failures: [
// { item: 'abc', error: 'Invalid number: abc', index: 1 },
// { item: 'def', error: 'Invalid number: def', index: 3 }
// ]
// }
```
### Bulk Operations with Partial Success
```typescript
import * as TE from 'fp-ts/TaskEither'
import * as T from 'fp-ts/Task'
import { pipe } from 'fp-ts/function'
interface BulkResult<T> {
succeeded: T[]
failed: Array<{ id: string; error: string }>
}
const bulkProcess = <T>(
ids: string[],
process: (id: string) => TE.TaskEither<string, T>
): T.Task<BulkResult<T>> =>
pipe(
ids,
A.map(id =>
pipe(
process(id),
TE.fold(
(error) => T.of({ type: 'failed' as const, id, error }),
(result) => T.of({ type: 'succeeded' as const, result })
)
)
),
T.sequenceArray,
T.map(results => ({
succeeded: results
.filter((r): r is { type: 'succeeded'; result: T } => r.type === 'succeeded')
.map(r => r.result),
failed: results
.filter((r): r is { type: 'failed'; id: string; error: string } => r.type === 'failed')
.map(({ id, error }) => ({ id, error }))
}))
)
// Usage
const deleteUsers = (userIds: string[]) =>
bulkProcess(userIds, id =>
pipe(
deleteUser(id),
TE.mapLeft(e => e.message)
)
)
// All operations run, you get a report of what worked and what didn't
```
---
## Quick Reference
| Pattern | Use When | Example |
|---------|----------|---------|
| `E.right(value)` | Creating a success | `E.right(42)` |
| `E.left(error)` | Creating a failure | `E.left('not found')` |
| `E.tryCatch(fn, onError)` | Wrapping throwing code | `E.tryCatch(() => JSON.parse(s), toError)` |
| `E.fromNullable(error)` | Converting nullable | `E.fromNullable('missing')(maybeValue)` |
| `E.map(fn)` | Transform success | `pipe(result, E.map(x => x * 2))` |
| `E.mapLeft(fn)` | Transform error | `pipe(result, E.mapLeft(addContext))` |
| `E.chain(fn)` | Chain operations | `pipe(getA(), E.chain(a => getB(a.id)))` |
| `E.chainW(fn)` | Chain with different error type | `pipe(validate(), E.chainW(save))` |
| `E.fold(onError, onSuccess)` | Handle both cases | `E.fold(showError, showData)` |
| `E.getOrElse(onError)` | Extract with default | `E.getOrElse(() => 0)` |
| `E.filterOrElse(pred, onFalse)` | Validate with error | `E.filterOrElse(x => x > 0, () => 'must be positive')` |
| `sequenceS(validation)({...})` | Collect all errors | Form validation |
### TaskEither Equivalents
All Either operations have TaskEither equivalents:
- `TE.right`, `TE.left`, `TE.tryCatch`
- `TE.map`, `TE.mapLeft`, `TE.chain`, `TE.chainW`
- `TE.fold`, `TE.getOrElse`, `TE.filterOrElse`
- `TE.orElse` for fallbacks
---
## Summary
1. **Return errors as values** - Use Either/TaskEither instead of throwing
2. **Chain with confidence** - `chain` stops at first error automatically
3. **Collect all errors when needed** - Use validation applicative for forms
4. **Wrap at boundaries** - Convert throwing/Promise code at the edges
5. **Match at the end** - Use `fold` to handle both cases when you're ready to act
The payoff: TypeScript tracks your errors, no more forgotten try/catch, clear control flow, and composable error handling.

View File

@@ -0,0 +1,598 @@
---
name: fp-ts-pragmatic
description: A practical, jargon-free guide to fp-ts functional programming - the 80/20 approach that gets results without the academic overhead. Use when writing TypeScript with fp-ts library.
risk: safe
source: https://github.com/whatiskadudoing/fp-ts-skills
---
# Pragmatic Functional Programming
**Read this first.** This guide cuts through the academic jargon and shows you what actually matters. No category theory. No abstract nonsense. Just patterns that make your code better.
## When to Use This Skill
- When starting with fp-ts and need practical guidance
- When writing TypeScript code that handles nullable values, errors, or async operations
- When you want cleaner, more maintainable functional code without the academic overhead
- When refactoring imperative code to functional style
## The Golden Rule
> **If functional programming makes your code harder to read, don't use it.**
FP is a tool, not a religion. Use it when it helps. Skip it when it doesn't.
---
## The 80/20 of FP
These five patterns give you most of the benefits. Master these before exploring anything else.
### 1. Pipe: Chain Operations Clearly
Instead of nesting function calls or creating intermediate variables, chain operations in reading order.
```typescript
import { pipe } from 'fp-ts/function'
// Before: Hard to read (inside-out)
const result = format(validate(parse(input)))
// Before: Too many variables
const parsed = parse(input)
const validated = validate(parsed)
const result = format(validated)
// After: Clear, linear flow
const result = pipe(
input,
parse,
validate,
format
)
```
**When to use pipe:**
- 3+ transformations on the same data
- You find yourself naming throwaway variables
- Logic reads better top-to-bottom
**When to skip pipe:**
- Just 1-2 operations (direct call is fine)
- The operations don't naturally chain
### 2. Option: Handle Missing Values Without null Checks
Stop writing `if (x !== null && x !== undefined)` everywhere.
```typescript
import * as O from 'fp-ts/Option'
import { pipe } from 'fp-ts/function'
// Before: Defensive null checking
function getUserCity(user: User | null): string {
if (user === null) return 'Unknown'
if (user.address === null) return 'Unknown'
if (user.address.city === null) return 'Unknown'
return user.address.city
}
// After: Chain through potential missing values
const getUserCity = (user: User | null): string =>
pipe(
O.fromNullable(user),
O.flatMap(u => O.fromNullable(u.address)),
O.flatMap(a => O.fromNullable(a.city)),
O.getOrElse(() => 'Unknown')
)
```
**Plain language translation:**
- `O.fromNullable(x)` = "wrap this value, treating null/undefined as 'nothing'"
- `O.flatMap(fn)` = "if we have something, apply this function"
- `O.getOrElse(() => default)` = "unwrap, or use this default if nothing"
### 3. Either: Make Errors Explicit
Stop throwing exceptions for expected failures. Return errors as values.
```typescript
import * as E from 'fp-ts/Either'
import { pipe } from 'fp-ts/function'
// Before: Hidden failure mode
function parseAge(input: string): number {
const age = parseInt(input, 10)
if (isNaN(age)) throw new Error('Invalid age')
if (age < 0) throw new Error('Age cannot be negative')
return age
}
// After: Errors are visible in the type
function parseAge(input: string): E.Either<string, number> {
const age = parseInt(input, 10)
if (isNaN(age)) return E.left('Invalid age')
if (age < 0) return E.left('Age cannot be negative')
return E.right(age)
}
// Using it
const result = parseAge(userInput)
if (E.isRight(result)) {
console.log(`Age is ${result.right}`)
} else {
console.log(`Error: ${result.left}`)
}
```
**Plain language translation:**
- `E.right(value)` = "success with this value"
- `E.left(error)` = "failure with this error"
- `E.isRight(x)` = "did it succeed?"
### 4. Map: Transform Without Unpacking
Transform values inside containers without extracting them first.
```typescript
import * as O from 'fp-ts/Option'
import * as E from 'fp-ts/Either'
import * as A from 'fp-ts/Array'
import { pipe } from 'fp-ts/function'
// Transform inside Option
const maybeUser: O.Option<User> = O.some({ name: 'Alice', age: 30 })
const maybeName: O.Option<string> = pipe(
maybeUser,
O.map(user => user.name)
)
// Transform inside Either
const result: E.Either<Error, number> = E.right(5)
const doubled: E.Either<Error, number> = pipe(
result,
E.map(n => n * 2)
)
// Transform arrays (same concept!)
const numbers = [1, 2, 3]
const doubled = pipe(
numbers,
A.map(n => n * 2)
)
```
### 5. FlatMap: Chain Operations That Might Fail
When each step might fail, chain them together.
```typescript
import * as E from 'fp-ts/Either'
import { pipe } from 'fp-ts/function'
const parseJSON = (s: string): E.Either<string, unknown> =>
E.tryCatch(() => JSON.parse(s), () => 'Invalid JSON')
const extractEmail = (data: unknown): E.Either<string, string> => {
if (typeof data === 'object' && data !== null && 'email' in data) {
return E.right((data as { email: string }).email)
}
return E.left('No email field')
}
const validateEmail = (email: string): E.Either<string, string> =>
email.includes('@') ? E.right(email) : E.left('Invalid email format')
// Chain all steps - if any fails, the whole thing fails
const getValidEmail = (input: string): E.Either<string, string> =>
pipe(
parseJSON(input),
E.flatMap(extractEmail),
E.flatMap(validateEmail)
)
// Success path: Right('user@example.com')
// Any failure: Left('specific error message')
```
**Plain language:** `flatMap` means "if this succeeded, try the next thing"
---
## When NOT to Use FP
Functional programming is not always the answer. Here's when to keep it simple.
### Simple Null Checks
```typescript
// Just use optional chaining - it's built into the language
const city = user?.address?.city ?? 'Unknown'
// DON'T overcomplicate it
const city = pipe(
O.fromNullable(user),
O.flatMap(u => O.fromNullable(u.address)),
O.flatMap(a => O.fromNullable(a.city)),
O.getOrElse(() => 'Unknown')
)
```
### Simple Loops
```typescript
// A for loop is fine when you need early exit or complex logic
function findFirst(items: Item[], predicate: (i: Item) => boolean): Item | null {
for (const item of items) {
if (predicate(item)) return item
}
return null
}
// DON'T force FP when it doesn't help
const result = pipe(
items,
A.findFirst(predicate),
O.toNullable
)
```
### Performance-Critical Code
```typescript
// For hot paths, imperative is faster (no intermediate arrays)
function sumLarge(numbers: number[]): number {
let sum = 0
for (let i = 0; i < numbers.length; i++) {
sum += numbers[i]
}
return sum
}
// fp-ts creates intermediate structures
const sum = pipe(numbers, A.reduce(0, (acc, n) => acc + n))
```
### When Your Team Doesn't Know FP
If you're the only one who can read the code, it's not good code.
```typescript
// If your team knows this pattern
async function getUser(id: string): Promise<User | null> {
try {
const response = await fetch(`/api/users/${id}`)
if (!response.ok) return null
return await response.json()
} catch {
return null
}
}
// Don't force this on them
const getUser = (id: string): TE.TaskEither<Error, User> =>
pipe(
TE.tryCatch(() => fetch(`/api/users/${id}`), E.toError),
TE.flatMap(r => r.ok ? TE.right(r) : TE.left(new Error('Not found'))),
TE.flatMap(r => TE.tryCatch(() => r.json(), E.toError))
)
```
---
## Quick Wins: Easy Changes That Improve Code Today
### 1. Replace Nested Ternaries with pipe + fold
```typescript
// Before: Nested ternary nightmare
const message = user === null
? 'No user'
: user.isAdmin
? `Admin: ${user.name}`
: `User: ${user.name}`
// After: Clear case handling
const message = pipe(
O.fromNullable(user),
O.fold(
() => 'No user',
(u) => u.isAdmin ? `Admin: ${u.name}` : `User: ${u.name}`
)
)
```
### 2. Replace try-catch with tryCatch
```typescript
// Before: try-catch everywhere
let config
try {
config = JSON.parse(rawConfig)
} catch {
config = defaultConfig
}
// After: One-liner
const config = pipe(
E.tryCatch(() => JSON.parse(rawConfig), () => 'parse error'),
E.getOrElse(() => defaultConfig)
)
```
### 3. Replace undefined Returns with Option
```typescript
// Before: Caller might forget to check
function findUser(id: string): User | undefined {
return users.find(u => u.id === id)
}
// After: Type forces caller to handle missing case
function findUser(id: string): O.Option<User> {
return O.fromNullable(users.find(u => u.id === id))
}
```
### 4. Replace Error Strings with Typed Errors
```typescript
// Before: Just strings
function validate(data: unknown): E.Either<string, User> {
// ...
return E.left('validation failed')
}
// After: Structured errors
type ValidationError = {
field: string
message: string
}
function validate(data: unknown): E.Either<ValidationError, User> {
// ...
return E.left({ field: 'email', message: 'Invalid format' })
}
```
### 5. Use const Assertions for Error Types
```typescript
// Create specific error types without classes
const NotFound = (id: string) => ({ _tag: 'NotFound' as const, id })
const Unauthorized = { _tag: 'Unauthorized' as const }
const ValidationFailed = (errors: string[]) =>
({ _tag: 'ValidationFailed' as const, errors })
type AppError =
| ReturnType<typeof NotFound>
| typeof Unauthorized
| ReturnType<typeof ValidationFailed>
// Now you can pattern match
const handleError = (error: AppError): string => {
switch (error._tag) {
case 'NotFound': return `Item ${error.id} not found`
case 'Unauthorized': return 'Please log in'
case 'ValidationFailed': return error.errors.join(', ')
}
}
```
---
## Common Refactors: Before and After
### Callback Hell to Pipe
```typescript
// Before
fetchUser(id, (user) => {
if (!user) return handleNoUser()
fetchPosts(user.id, (posts) => {
if (!posts) return handleNoPosts()
fetchComments(posts[0].id, (comments) => {
render(user, posts, comments)
})
})
})
// After (with TaskEither for async)
import * as TE from 'fp-ts/TaskEither'
const loadData = (id: string) =>
pipe(
fetchUser(id),
TE.flatMap(user => pipe(
fetchPosts(user.id),
TE.map(posts => ({ user, posts }))
)),
TE.flatMap(({ user, posts }) => pipe(
fetchComments(posts[0].id),
TE.map(comments => ({ user, posts, comments }))
))
)
// Execute
const result = await loadData('123')()
pipe(
result,
E.fold(handleError, ({ user, posts, comments }) => render(user, posts, comments))
)
```
### Multiple null Checks to Option Chain
```typescript
// Before
function getManagerEmail(employee: Employee): string | null {
if (!employee.department) return null
if (!employee.department.manager) return null
if (!employee.department.manager.email) return null
return employee.department.manager.email
}
// After
const getManagerEmail = (employee: Employee): O.Option<string> =>
pipe(
O.fromNullable(employee.department),
O.flatMap(d => O.fromNullable(d.manager)),
O.flatMap(m => O.fromNullable(m.email))
)
// Use it
pipe(
getManagerEmail(employee),
O.fold(
() => sendToDefault(),
(email) => sendTo(email)
)
)
```
### Validation with Multiple Checks
```typescript
// Before: Throws on first error
function validateUser(data: unknown): User {
if (!data || typeof data !== 'object') throw new Error('Must be object')
const obj = data as Record<string, unknown>
if (typeof obj.email !== 'string') throw new Error('Email required')
if (!obj.email.includes('@')) throw new Error('Invalid email')
if (typeof obj.age !== 'number') throw new Error('Age required')
if (obj.age < 0) throw new Error('Age must be positive')
return obj as User
}
// After: Returns first error, type-safe
const validateUser = (data: unknown): E.Either<string, User> =>
pipe(
E.Do,
E.bind('obj', () =>
typeof data === 'object' && data !== null
? E.right(data as Record<string, unknown>)
: E.left('Must be object')
),
E.bind('email', ({ obj }) =>
typeof obj.email === 'string' && obj.email.includes('@')
? E.right(obj.email)
: E.left('Valid email required')
),
E.bind('age', ({ obj }) =>
typeof obj.age === 'number' && obj.age >= 0
? E.right(obj.age)
: E.left('Valid age required')
),
E.map(({ email, age }) => ({ email, age }))
)
```
### Promise Chain to TaskEither
```typescript
// Before
async function processOrder(orderId: string): Promise<Receipt> {
const order = await fetchOrder(orderId)
if (!order) throw new Error('Order not found')
const validated = await validateOrder(order)
if (!validated.success) throw new Error(validated.error)
const payment = await processPayment(validated.order)
if (!payment.success) throw new Error('Payment failed')
return generateReceipt(payment)
}
// After
const processOrder = (orderId: string): TE.TaskEither<string, Receipt> =>
pipe(
fetchOrderTE(orderId),
TE.flatMap(order =>
order ? TE.right(order) : TE.left('Order not found')
),
TE.flatMap(validateOrderTE),
TE.flatMap(processPaymentTE),
TE.map(generateReceipt)
)
```
---
## The Readability Rule
Before using any FP pattern, ask: **"Would a junior developer understand this?"**
### Too Clever (Avoid)
```typescript
const result = pipe(
data,
A.filter(flow(prop('status'), equals('active'))),
A.map(flow(prop('value'), multiply(2))),
A.reduce(monoid.concat, monoid.empty),
O.fromPredicate(gt(threshold))
)
```
### Just Right (Prefer)
```typescript
const activeItems = data.filter(item => item.status === 'active')
const doubledValues = activeItems.map(item => item.value * 2)
const total = doubledValues.reduce((sum, val) => sum + val, 0)
const result = total > threshold ? O.some(total) : O.none
```
### The Middle Ground (Often Best)
```typescript
const result = pipe(
data,
A.filter(item => item.status === 'active'),
A.map(item => item.value * 2),
A.reduce(0, (sum, val) => sum + val),
total => total > threshold ? O.some(total) : O.none
)
```
---
## Cheat Sheet
| What you want | Plain language | fp-ts |
|--------------|----------------|-------|
| Handle null/undefined | "Wrap this nullable" | `O.fromNullable(x)` |
| Default for missing | "Use this if nothing" | `O.getOrElse(() => default)` |
| Transform if present | "If something, change it" | `O.map(fn)` |
| Chain nullable operations | "If something, try this" | `O.flatMap(fn)` |
| Return success | "Worked, here's the value" | `E.right(value)` |
| Return failure | "Failed, here's why" | `E.left(error)` |
| Wrap throwing function | "Try this, catch errors" | `E.tryCatch(fn, onError)` |
| Handle both cases | "Do this for error, that for success" | `E.fold(onLeft, onRight)` |
| Chain operations | "Then do this, then that" | `pipe(x, fn1, fn2, fn3)` |
---
## When to Level Up
Once comfortable with these patterns, explore:
1. **TaskEither** - Async operations that can fail (replaces Promise + try/catch)
2. **Validation** - Collect ALL errors instead of stopping at first
3. **Reader** - Dependency injection without classes
4. **Do notation** - Cleaner syntax for multiple bindings
But don't rush. The basics here will handle 80% of real-world scenarios. Get comfortable with these before adding more tools to your belt.
---
## Summary
1. **Use pipe** for 3+ operations
2. **Use Option** for nullable chains
3. **Use Either** for operations that can fail
4. **Use map** to transform wrapped values
5. **Use flatMap** to chain operations that might fail
6. **Skip FP** when it hurts readability
7. **Keep it simple** - if your team can't read it, it's not good code

796
skills/fp-ts-react/SKILL.md Normal file
View File

@@ -0,0 +1,796 @@
---
name: fp-ts-react
description: Practical patterns for using fp-ts with React - hooks, state, forms, data fetching. Use when building React apps with functional programming patterns. Works with React 18/19, Next.js 14/15.
risk: safe
source: https://github.com/whatiskadudoing/fp-ts-skills
---
# Functional Programming in React
Practical patterns for React apps. No jargon, just code that works.
## When to Use This Skill
- When building React apps with fp-ts for type-safe state management
- When handling loading/error/success states in data fetching
- When implementing form validation with error accumulation
- When using React 18/19 or Next.js 14/15 with functional patterns
---
## Quick Reference
| Pattern | Use When |
|---------|----------|
| `Option` | Value might be missing (user not loaded yet) |
| `Either` | Operation might fail (form validation) |
| `TaskEither` | Async operation might fail (API calls) |
| `RemoteData` | Need to show loading/error/success states |
| `pipe` | Chaining multiple transformations |
---
## 1. State with Option (Maybe It's There, Maybe Not)
Use `Option` instead of `null | undefined` for clearer intent.
### Basic Pattern
```typescript
import { useState } from 'react'
import * as O from 'fp-ts/Option'
import { pipe } from 'fp-ts/function'
interface User {
id: string
name: string
email: string
}
function UserProfile() {
// Option says "this might not exist yet"
const [user, setUser] = useState<O.Option<User>>(O.none)
const handleLogin = (userData: User) => {
setUser(O.some(userData))
}
const handleLogout = () => {
setUser(O.none)
}
return pipe(
user,
O.match(
// When there's no user
() => <button onClick={() => handleLogin({ id: '1', name: 'Alice', email: 'alice@example.com' })}>
Log In
</button>,
// When there's a user
(u) => (
<div>
<p>Welcome, {u.name}!</p>
<button onClick={handleLogout}>Log Out</button>
</div>
)
)
)
}
```
### Chaining Optional Values
```typescript
import * as O from 'fp-ts/Option'
import { pipe } from 'fp-ts/function'
interface Profile {
user: O.Option<{
name: string
settings: O.Option<{
theme: string
}>
}>
}
function getTheme(profile: Profile): string {
return pipe(
profile.user,
O.flatMap(u => u.settings),
O.map(s => s.theme),
O.getOrElse(() => 'light') // default
)
}
```
---
## 2. Form Validation with Either
Either is perfect for validation: `Left` = errors, `Right` = valid data.
### Simple Form Validation
```typescript
import * as E from 'fp-ts/Either'
import * as A from 'fp-ts/Array'
import { pipe } from 'fp-ts/function'
// Validation functions return Either<ErrorMessage, ValidValue>
const validateEmail = (email: string): E.Either<string, string> =>
email.includes('@')
? E.right(email)
: E.left('Invalid email address')
const validatePassword = (password: string): E.Either<string, string> =>
password.length >= 8
? E.right(password)
: E.left('Password must be at least 8 characters')
const validateName = (name: string): E.Either<string, string> =>
name.trim().length > 0
? E.right(name.trim())
: E.left('Name is required')
```
### Collecting All Errors (Not Just First One)
```typescript
import * as E from 'fp-ts/Either'
import { sequenceS } from 'fp-ts/Apply'
import { getSemigroup } from 'fp-ts/NonEmptyArray'
import { pipe } from 'fp-ts/function'
// This collects ALL errors, not just the first one
const validateAll = sequenceS(E.getApplicativeValidation(getSemigroup<string>()))
interface SignupForm {
name: string
email: string
password: string
}
interface ValidatedForm {
name: string
email: string
password: string
}
function validateForm(form: SignupForm): E.Either<string[], ValidatedForm> {
return pipe(
validateAll({
name: pipe(validateName(form.name), E.mapLeft(e => [e])),
email: pipe(validateEmail(form.email), E.mapLeft(e => [e])),
password: pipe(validatePassword(form.password), E.mapLeft(e => [e])),
})
)
}
// Usage in component
function SignupForm() {
const [form, setForm] = useState({ name: '', email: '', password: '' })
const [errors, setErrors] = useState<string[]>([])
const handleSubmit = () => {
pipe(
validateForm(form),
E.match(
(errs) => setErrors(errs), // Show all errors
(valid) => {
setErrors([])
submitToServer(valid) // Submit valid data
}
)
)
}
return (
<form onSubmit={e => { e.preventDefault(); handleSubmit() }}>
<input
value={form.name}
onChange={e => setForm(f => ({ ...f, name: e.target.value }))}
placeholder="Name"
/>
<input
value={form.email}
onChange={e => setForm(f => ({ ...f, email: e.target.value }))}
placeholder="Email"
/>
<input
type="password"
value={form.password}
onChange={e => setForm(f => ({ ...f, password: e.target.value }))}
placeholder="Password"
/>
{errors.length > 0 && (
<ul style={{ color: 'red' }}>
{errors.map((err, i) => <li key={i}>{err}</li>)}
</ul>
)}
<button type="submit">Sign Up</button>
</form>
)
}
```
### Field-Level Errors (Better UX)
```typescript
type FieldErrors = Partial<Record<keyof SignupForm, string>>
function validateFormWithFieldErrors(form: SignupForm): E.Either<FieldErrors, ValidatedForm> {
const errors: FieldErrors = {}
pipe(validateName(form.name), E.mapLeft(e => { errors.name = e }))
pipe(validateEmail(form.email), E.mapLeft(e => { errors.email = e }))
pipe(validatePassword(form.password), E.mapLeft(e => { errors.password = e }))
return Object.keys(errors).length > 0
? E.left(errors)
: E.right({ name: form.name.trim(), email: form.email, password: form.password })
}
// In component
{errors.email && <span className="error">{errors.email}</span>}
```
---
## 3. Data Fetching with TaskEither
TaskEither = async operation that might fail. Perfect for API calls.
### Basic Fetch Hook
```typescript
import { useState, useEffect } from 'react'
import * as TE from 'fp-ts/TaskEither'
import * as E from 'fp-ts/Either'
import { pipe } from 'fp-ts/function'
// Wrap fetch in TaskEither
const fetchJson = <T>(url: string): TE.TaskEither<Error, T> =>
TE.tryCatch(
async () => {
const res = await fetch(url)
if (!res.ok) throw new Error(`HTTP ${res.status}`)
return res.json()
},
(err) => err instanceof Error ? err : new Error(String(err))
)
// Custom hook
function useFetch<T>(url: string) {
const [data, setData] = useState<T | null>(null)
const [error, setError] = useState<Error | null>(null)
const [loading, setLoading] = useState(true)
useEffect(() => {
setLoading(true)
setError(null)
pipe(
fetchJson<T>(url),
TE.match(
(err) => {
setError(err)
setLoading(false)
},
(result) => {
setData(result)
setLoading(false)
}
)
)()
}, [url])
return { data, error, loading }
}
// Usage
function UserList() {
const { data, error, loading } = useFetch<User[]>('/api/users')
if (loading) return <div>Loading...</div>
if (error) return <div>Error: {error.message}</div>
return (
<ul>
{data?.map(user => <li key={user.id}>{user.name}</li>)}
</ul>
)
}
```
### Chaining API Calls
```typescript
// Fetch user, then fetch their posts
const fetchUserWithPosts = (userId: string) => pipe(
fetchJson<User>(`/api/users/${userId}`),
TE.flatMap(user => pipe(
fetchJson<Post[]>(`/api/users/${userId}/posts`),
TE.map(posts => ({ ...user, posts }))
))
)
```
### Parallel API Calls
```typescript
import { sequenceT } from 'fp-ts/Apply'
// Fetch multiple things at once
const fetchDashboardData = () => pipe(
sequenceT(TE.ApplyPar)(
fetchJson<User>('/api/user'),
fetchJson<Stats>('/api/stats'),
fetchJson<Notifications[]>('/api/notifications')
),
TE.map(([user, stats, notifications]) => ({
user,
stats,
notifications
}))
)
```
---
## 4. RemoteData Pattern (The Right Way to Handle Async State)
Stop using `{ data, loading, error }` booleans. Use a proper state machine.
### The Pattern
```typescript
// RemoteData has exactly 4 states - no impossible combinations
type RemoteData<E, A> =
| { _tag: 'NotAsked' } // Haven't started yet
| { _tag: 'Loading' } // In progress
| { _tag: 'Failure'; error: E } // Failed
| { _tag: 'Success'; data: A } // Got it!
// Constructors
const notAsked = <E, A>(): RemoteData<E, A> => ({ _tag: 'NotAsked' })
const loading = <E, A>(): RemoteData<E, A> => ({ _tag: 'Loading' })
const failure = <E, A>(error: E): RemoteData<E, A> => ({ _tag: 'Failure', error })
const success = <E, A>(data: A): RemoteData<E, A> => ({ _tag: 'Success', data })
// Pattern match all states
function fold<E, A, R>(
rd: RemoteData<E, A>,
onNotAsked: () => R,
onLoading: () => R,
onFailure: (e: E) => R,
onSuccess: (a: A) => R
): R {
switch (rd._tag) {
case 'NotAsked': return onNotAsked()
case 'Loading': return onLoading()
case 'Failure': return onFailure(rd.error)
case 'Success': return onSuccess(rd.data)
}
}
```
### Hook with RemoteData
```typescript
function useRemoteData<T>(fetchFn: () => Promise<T>) {
const [state, setState] = useState<RemoteData<Error, T>>(notAsked())
const execute = async () => {
setState(loading())
try {
const data = await fetchFn()
setState(success(data))
} catch (err) {
setState(failure(err instanceof Error ? err : new Error(String(err))))
}
}
return { state, execute }
}
// Usage
function UserProfile({ userId }: { userId: string }) {
const { state, execute } = useRemoteData(() =>
fetch(`/api/users/${userId}`).then(r => r.json())
)
useEffect(() => { execute() }, [userId])
return fold(
state,
() => <button onClick={execute}>Load User</button>,
() => <Spinner />,
(err) => <ErrorMessage message={err.message} onRetry={execute} />,
(user) => <UserCard user={user} />
)
}
```
### Why RemoteData Beats Booleans
```typescript
// ❌ BAD: Impossible states are possible
interface BadState {
data: User | null
loading: boolean
error: Error | null
}
// Can have: { data: user, loading: true, error: someError } - what does that mean?!
// ✅ GOOD: Only valid states exist
type GoodState = RemoteData<Error, User>
// Can only be: NotAsked | Loading | Failure | Success
```
---
## 5. Referential Stability (Preventing Re-renders)
fp-ts values like `O.some(1)` create new objects each render. React sees them as "changed".
### The Problem
```typescript
// ❌ BAD: Creates new Option every render
function BadComponent() {
const [value, setValue] = useState(O.some(1))
useEffect(() => {
// This runs EVERY render because O.some(1) !== O.some(1)
console.log('value changed')
}, [value])
}
```
### Solution 1: useMemo
```typescript
// ✅ GOOD: Memoize Option creation
function GoodComponent() {
const [rawValue, setRawValue] = useState<number | null>(1)
const value = useMemo(
() => O.fromNullable(rawValue),
[rawValue] // Only recreate when rawValue changes
)
useEffect(() => {
// Now this only runs when rawValue actually changes
console.log('value changed')
}, [rawValue]) // Depend on raw value, not Option
}
```
### Solution 2: fp-ts-react-stable-hooks
```bash
npm install fp-ts-react-stable-hooks
```
```typescript
import { useStableO, useStableEffect } from 'fp-ts-react-stable-hooks'
import * as O from 'fp-ts/Option'
import * as Eq from 'fp-ts/Eq'
function StableComponent() {
// Uses fp-ts equality instead of reference equality
const [value, setValue] = useStableO(O.some(1))
// Effect that understands Option equality
useStableEffect(
() => { console.log('value changed') },
[value],
Eq.tuple(O.getEq(Eq.eqNumber)) // Custom equality
)
}
```
---
## 6. Dependency Injection with Context
Use ReaderTaskEither for testable components with injected dependencies.
### Setup Dependencies
```typescript
import * as RTE from 'fp-ts/ReaderTaskEither'
import { pipe } from 'fp-ts/function'
import { createContext, useContext, ReactNode } from 'react'
// Define what services your app needs
interface AppDependencies {
api: {
getUser: (id: string) => Promise<User>
updateUser: (id: string, data: Partial<User>) => Promise<User>
}
analytics: {
track: (event: string, data?: object) => void
}
}
// Create context
const DepsContext = createContext<AppDependencies | null>(null)
// Provider
function AppProvider({ deps, children }: { deps: AppDependencies; children: ReactNode }) {
return <DepsContext.Provider value={deps}>{children}</DepsContext.Provider>
}
// Hook to use dependencies
function useDeps(): AppDependencies {
const deps = useContext(DepsContext)
if (!deps) throw new Error('Missing AppProvider')
return deps
}
```
### Use in Components
```typescript
function UserProfile({ userId }: { userId: string }) {
const { api, analytics } = useDeps()
const [user, setUser] = useState<RemoteData<Error, User>>(notAsked())
useEffect(() => {
setUser(loading())
api.getUser(userId)
.then(u => {
setUser(success(u))
analytics.track('user_viewed', { userId })
})
.catch(e => setUser(failure(e)))
}, [userId, api, analytics])
// render...
}
```
### Testing with Mock Dependencies
```typescript
const mockDeps: AppDependencies = {
api: {
getUser: jest.fn().mockResolvedValue({ id: '1', name: 'Test User' }),
updateUser: jest.fn().mockResolvedValue({ id: '1', name: 'Updated' }),
},
analytics: {
track: jest.fn(),
},
}
test('loads user on mount', async () => {
render(
<AppProvider deps={mockDeps}>
<UserProfile userId="1" />
</AppProvider>
)
await screen.findByText('Test User')
expect(mockDeps.api.getUser).toHaveBeenCalledWith('1')
})
```
---
## 7. React 19 Patterns
### use() for Promises (React 19+)
```typescript
import { use, Suspense } from 'react'
// Instead of useEffect + useState for data fetching
function UserProfile({ userPromise }: { userPromise: Promise<User> }) {
const user = use(userPromise) // Suspends until resolved
return <div>{user.name}</div>
}
// Parent provides the promise
function App() {
const userPromise = fetchUser('1') // Start fetching immediately
return (
<Suspense fallback={<Spinner />}>
<UserProfile userPromise={userPromise} />
</Suspense>
)
}
```
### useActionState for Forms (React 19+)
```typescript
import { useActionState } from 'react'
import * as E from 'fp-ts/Either'
interface FormState {
errors: string[]
success: boolean
}
async function submitForm(
prevState: FormState,
formData: FormData
): Promise<FormState> {
const data = {
email: formData.get('email') as string,
password: formData.get('password') as string,
}
// Use Either for validation
const result = pipe(
validateForm(data),
E.match(
(errors) => ({ errors, success: false }),
async (valid) => {
await saveToServer(valid)
return { errors: [], success: true }
}
)
)
return result
}
function SignupForm() {
const [state, formAction, isPending] = useActionState(submitForm, {
errors: [],
success: false
})
return (
<form action={formAction}>
<input name="email" type="email" />
<input name="password" type="password" />
{state.errors.map(e => <p key={e} className="error">{e}</p>)}
<button disabled={isPending}>
{isPending ? 'Submitting...' : 'Sign Up'}
</button>
</form>
)
}
```
### useOptimistic for Instant Feedback (React 19+)
```typescript
import { useOptimistic } from 'react'
function TodoList({ todos }: { todos: Todo[] }) {
const [optimisticTodos, addOptimisticTodo] = useOptimistic(
todos,
(state, newTodo: Todo) => [...state, { ...newTodo, pending: true }]
)
const addTodo = async (text: string) => {
const newTodo = { id: crypto.randomUUID(), text, done: false }
// Immediately show in UI
addOptimisticTodo(newTodo)
// Actually save (will reconcile when done)
await saveTodo(newTodo)
}
return (
<ul>
{optimisticTodos.map(todo => (
<li key={todo.id} style={{ opacity: todo.pending ? 0.5 : 1 }}>
{todo.text}
</li>
))}
</ul>
)
}
```
---
## 8. Common Patterns Cheat Sheet
### Render Based on Option
```typescript
// Pattern 1: match
pipe(
maybeUser,
O.match(
() => <LoginButton />,
(user) => <UserMenu user={user} />
)
)
// Pattern 2: fold (same as match)
O.fold(
() => <LoginButton />,
(user) => <UserMenu user={user} />
)(maybeUser)
// Pattern 3: getOrElse for simple defaults
const name = pipe(
maybeUser,
O.map(u => u.name),
O.getOrElse(() => 'Guest')
)
```
### Render Based on Either
```typescript
pipe(
validationResult,
E.match(
(errors) => <ErrorList errors={errors} />,
(data) => <SuccessMessage data={data} />
)
)
```
### Safe Array Rendering
```typescript
import * as A from 'fp-ts/Array'
// Get first item safely
const firstUser = pipe(
users,
A.head,
O.map(user => <Featured user={user} />),
O.getOrElse(() => <NoFeaturedUser />)
)
// Find specific item
const adminUser = pipe(
users,
A.findFirst(u => u.role === 'admin'),
O.map(admin => <AdminBadge user={admin} />),
O.toNullable // or O.getOrElse(() => null)
)
```
### Conditional Props
```typescript
// Add props only if value exists
const modalProps = {
isOpen: true,
...pipe(
maybeTitle,
O.map(title => ({ title })),
O.getOrElse(() => ({}))
)
}
```
---
## When to Use What
| Situation | Use |
|-----------|-----|
| Value might not exist | `Option<T>` |
| Operation might fail (sync) | `Either<E, A>` |
| Async operation might fail | `TaskEither<E, A>` |
| Need loading/error/success UI | `RemoteData<E, A>` |
| Form with multiple validations | `Either` with validation applicative |
| Dependency injection | Context + `ReaderTaskEither` |
| Prevent re-renders with fp-ts | `useMemo` or `fp-ts-react-stable-hooks` |
---
## Libraries
- **[fp-ts](https://github.com/gcanti/fp-ts)** - Core library
- **[fp-ts-react-stable-hooks](https://github.com/mblink/fp-ts-react-stable-hooks)** - Stable hooks
- **[@devexperts/remote-data-ts](https://github.com/devexperts/remote-data-ts)** - RemoteData
- **[io-ts](https://github.com/gcanti/io-ts)** - Runtime type validation
- **[zod](https://github.com/colinhacks/zod)** - Schema validation (works great with fp-ts)

View File

@@ -0,0 +1,165 @@
# Stitch UI Design Skill
Expert guidance for creating effective prompts in Google Stitch, the AI-powered UI design tool.
## Overview
This skill provides comprehensive guidance for crafting precise, actionable prompts that generate high-quality UI designs in Google Stitch. It covers prompt structure, specificity techniques, iteration strategies, and design-to-code workflows.
## What's Included
### SKILL.md
Core prompting principles and techniques:
- Specificity and detail requirements
- Visual style definition
- Multi-screen flow structuring
- Platform and responsive specifications
- Functional requirements
- Prompt templates
- Iteration strategies
- Common use cases
- Anti-patterns to avoid
### References
#### prompt-examples.md
Comprehensive library of effective Stitch prompts organized by category:
- Landing pages
- Mobile apps
- Dashboards
- E-commerce
- Forms & authentication
- Content platforms
- SaaS applications
Each example includes detailed component breakdowns, style specifications, and platform requirements.
#### advanced-techniques.md
Advanced strategies for production-ready designs:
- Image-to-UI workflows
- Design system integration
- Responsive design strategies
- Accessibility considerations
- Performance optimization
- Component reusability
- Atomic design methodology
- Export and handoff best practices
## When to Use This Skill
Use this skill when:
- Creating UI designs in Google Stitch
- Generating mobile or web app interfaces
- Crafting effective Stitch prompts
- Converting sketches or wireframes to digital UI
- Building design systems
- Creating responsive layouts
- Ensuring accessibility compliance
- Optimizing design-to-code workflows
## Key Principles
1. **Be Specific** - Generic prompts yield generic results
2. **Define Visual Style** - Always include colors, aesthetics, and design direction
3. **Structure Clearly** - List components and sections explicitly
4. **Specify Platform** - Indicate mobile, tablet, desktop, or responsive
5. **Include Functionality** - Describe interactions, states, and user flows
6. **Iterate Incrementally** - Make focused changes rather than complete redesigns
## Quick Start
### Basic Prompt Template
```
[Screen/Component Type] for [User/Context]
Key Features:
- [Feature 1 with specific details]
- [Feature 2 with specific details]
- [Feature 3 with specific details]
Visual Style:
- [Color scheme]
- [Design aesthetic]
- [Layout approach]
Platform: [Mobile/Web/Responsive]
```
### Example Usage
```
Dashboard for SaaS analytics platform
Key Features:
- Top metrics cards showing MRR, active users, churn rate
- Line chart for revenue trends (last 30 days)
- Recent activity feed with user actions
- Quick action buttons for reports and exports
Visual Style:
- Dark mode with blue/purple gradient accents
- Modern glassmorphic cards with subtle shadows
- Clean data visualization with accessible colors
Platform: Responsive web (desktop-first)
```
## Best Practices
### Do's ✅
- Provide specific component details
- Define clear visual direction
- Specify responsive behavior
- Include interaction states
- Use design terminology
- Reference existing designs when helpful
- Iterate with annotations
- Consider accessibility from the start
### Don'ts ❌
- Use vague descriptions ("nice website")
- Omit visual style guidance
- Forget platform specifications
- Ignore responsive requirements
- Skip accessibility considerations
- Make complete redesigns instead of incremental changes
## Integration with Development
### Stitch → Figma → Code
1. Generate UI in Stitch with detailed prompts
2. Export to Figma for design system integration
3. Hand off to developers with design specs
4. Implement with production-ready code
### Stitch → HTML → Framework
1. Generate and refine UI in Stitch
2. Export HTML/CSS code
3. Convert to React/Vue/Svelte components
4. Integrate into application codebase
## Resources
- **SKILL.md** - Core prompting guide
- **prompt-examples.md** - 30+ detailed prompt examples
- **advanced-techniques.md** - Production-ready design strategies
## Tips for Success
1. Start with clear requirements and context
2. Use the prompt template for consistency
3. Reference examples for similar use cases
4. Iterate incrementally with annotations
5. Generate variants to explore options
6. Always specify visual style and platform
7. Consider accessibility in every prompt
8. Refine exports before production use
## About Google Stitch
Google Stitch is an experimental AI UI generator powered by Gemini 2.5 Flash that transforms text prompts and visual references into functional UI designs. It supports text-to-UI generation, image-to-UI conversion, multi-screen flows, and exports to HTML/CSS, Figma, and code.
---
**Note:** This skill is designed to help you create effective prompts for Stitch. The quality of your output depends on the specificity and clarity of your prompts. Use the templates and examples as starting points, then customize for your unique requirements.

View File

@@ -0,0 +1,378 @@
---
name: stitch-ui-design
description: Expert guide for creating effective prompts for Google Stitch AI UI design tool. Use when user wants to design UI/UX in Stitch, create app interfaces, generate mobile/web designs, or needs help crafting Stitch prompts. Covers prompt structure, specificity techniques, iteration strategies, and design-to-code workflows for Stitch by Google.
risk: safe
source: "self"
---
# Stitch UI Design Prompting
Expert guidance for crafting effective prompts in Google Stitch, the AI-powered UI design tool by Google Labs. This skill helps create precise, actionable prompts that generate high-quality UI designs for web and mobile applications.
## What is Google Stitch?
Google Stitch is an experimental AI UI generator powered by Gemini 2.5 Flash that transforms text prompts and visual references into functional UI designs. It supports:
- Text-to-UI generation from natural language prompts
- Image-to-UI conversion from sketches, wireframes, or screenshots
- Multi-screen app flows and responsive layouts
- Export to HTML/CSS, Figma, and code
- Iterative refinement with variants and annotations
## Core Prompting Principles
### 1. Be Specific and Detailed
Generic prompts yield generic results. Specific prompts with clear requirements produce tailored, professional designs.
**Poor prompt:**
```
Create a dashboard
```
**Effective prompt:**
```
Member dashboard with course modules grid, progress tracking bar,
and community feed sidebar using purple theme and card-based layout
```
**Why it works:** Specifies components (modules, progress, feed), layout structure (grid, sidebar), visual style (purple theme, cards), and context (member dashboard).
### 2. Define Visual Style and Theme
Always include color schemes, design aesthetics, and visual direction to avoid generic AI outputs.
**Components to specify:**
- Color palette (primary colors, accent colors)
- Design style (minimalist, modern, playful, professional, glassmorphic)
- Typography preferences (if any)
- Spacing and density (compact, spacious, balanced)
**Example:**
```
E-commerce product page with hero image gallery, add-to-cart CTA,
reviews section, and related products carousel. Use clean minimalist
design with sage green accents and generous white space.
```
### 3. Structure Multi-Screen Flows Clearly
For apps with multiple screens, list each screen as bullet points before generation.
**Approach:**
```
Fitness tracking app with:
- Onboarding screen with goal selection
- Home dashboard with daily stats and activity rings
- Workout library with category filters
- Profile screen with achievements and settings
```
Stitch will ask for confirmation before generating multiple screens, ensuring alignment with your vision.
### 4. Specify Platform and Responsive Behavior
Indicate whether the design is for mobile, tablet, desktop, or responsive web.
**Examples:**
```
Mobile app login screen (iOS style) with email/password fields and social auth buttons
Responsive landing page that adapts from mobile (320px) to desktop (1440px)
with collapsible navigation
```
### 5. Include Functional Requirements
Describe interactive elements, states, and user flows to generate more complete designs.
**Elements to specify:**
- Button actions and CTAs
- Form fields and validation
- Navigation patterns
- Loading states
- Empty states
- Error handling
**Example:**
```
Checkout flow with:
- Cart summary with quantity adjusters
- Shipping address form with validation
- Payment method selection (cards, PayPal, Apple Pay)
- Order confirmation with tracking number
```
## Prompt Structure Template
Use this template for comprehensive prompts:
```
[Screen/Component Type] for [User/Context]
Key Features:
- [Feature 1 with specific details]
- [Feature 2 with specific details]
- [Feature 3 with specific details]
Visual Style:
- [Color scheme]
- [Design aesthetic]
- [Layout approach]
Platform: [Mobile/Web/Responsive]
```
**Example:**
```
Dashboard for SaaS analytics platform
Key Features:
- Top metrics cards showing MRR, active users, churn rate
- Line chart for revenue trends (last 30 days)
- Recent activity feed with user actions
- Quick action buttons for reports and exports
Visual Style:
- Dark mode with blue/purple gradient accents
- Modern glassmorphic cards with subtle shadows
- Clean data visualization with accessible colors
Platform: Responsive web (desktop-first)
```
## Iteration Strategies
### Refine with Annotations
Use Stitch's "annotate to edit" feature to make targeted changes without rewriting the entire prompt.
**Workflow:**
1. Generate initial design from prompt
2. Annotate specific elements that need changes
3. Describe modifications in natural language
4. Stitch updates only the annotated areas
**Example annotations:**
- "Make this button larger and use primary color"
- "Add more spacing between these cards"
- "Change this to a horizontal layout"
### Generate Variants
Request multiple variations to explore different design directions:
```
Generate 3 variants of this hero section:
1. Image-focused with minimal text
2. Text-heavy with supporting graphics
3. Video background with overlay content
```
### Progressive Refinement
Start broad, then add specificity in follow-up prompts:
**Initial:**
```
E-commerce homepage
```
**Refinement 1:**
```
Add featured products section with 4-column grid and hover effects
```
**Refinement 2:**
```
Update color scheme to earth tones (terracotta, sage, cream)
and add promotional banner at top
```
## Common Use Cases
### Landing Pages
```
SaaS landing page for [product name]
Sections:
- Hero with headline, subheadline, CTA, and product screenshot
- Social proof with customer logos
- Features grid (3 columns) with icons
- Testimonials carousel
- Pricing table (3 tiers)
- FAQ accordion
- Footer with links and newsletter signup
Style: Modern, professional, trust-building
Colors: Navy blue primary, light blue accents, white background
```
### Mobile Apps
```
Food delivery app home screen
Components:
- Search bar with location selector
- Category chips (Pizza, Burgers, Sushi, etc.)
- Restaurant cards with image, name, rating, delivery time, and price range
- Bottom navigation (Home, Search, Orders, Profile)
Style: Vibrant, appetite-appealing, easy to scan
Colors: Orange primary, white background, food photography
Platform: iOS mobile (375px width)
```
### Dashboards
```
Admin dashboard for content management system
Layout:
- Left sidebar navigation with collapsible menu
- Top bar with search, notifications, and user profile
- Main content area with:
- Stats overview (4 metric cards)
- Recent posts table with actions
- Activity timeline
- Quick actions panel
Style: Clean, data-focused, professional
Colors: Neutral grays with blue accents
Platform: Desktop web (1440px)
```
### Forms and Inputs
```
Multi-step signup form for B2B platform
Steps:
1. Account details (company name, email, password)
2. Company information (industry, size, role)
3. Team setup (invite members)
4. Confirmation with success message
Features:
- Progress indicator at top
- Field validation with inline errors
- Back/Next navigation
- Skip option for step 3
Style: Minimal, focused, low-friction
Colors: White background, green for success states
```
## Design-to-Code Workflow
### Export Options
Stitch provides multiple export formats:
1. **HTML/CSS** - Clean, semantic markup for web projects
2. **Figma** - "Paste to Figma" for design system integration
3. **Code snippets** - Component-level exports for frameworks
### Best Practices for Export
**Before exporting:**
- Verify responsive breakpoints
- Check color contrast for accessibility
- Ensure interactive states are defined
- Review component naming and structure
**After export:**
- Refactor generated code for production standards
- Add proper semantic HTML tags
- Implement accessibility attributes (ARIA labels, alt text)
- Optimize images and assets
- Add animations and micro-interactions
## Anti-Patterns to Avoid
### ❌ Vague Prompts
```
Make a nice website
```
### ✅ Specific Prompts
```
Portfolio website for photographer with full-screen image gallery,
project case studies, and contact form. Minimalist black and white
aesthetic with serif typography.
```
---
### ❌ Missing Context
```
Create a login page
```
### ✅ Context-Rich Prompts
```
Login page for healthcare portal with email/password fields,
"Remember me" checkbox, "Forgot password" link, and SSO options
(Google, Microsoft). Professional, trustworthy design with
blue medical theme.
```
---
### ❌ No Visual Direction
```
Design an app for task management
```
### ✅ Clear Visual Direction
```
Task management app with kanban board layout, drag-and-drop cards,
priority labels, and due date indicators. Modern, productivity-focused
design with purple/teal gradient accents and dark mode support.
```
## Tips for Better Results
1. **Reference existing designs** - Upload screenshots or sketches as visual references alongside text prompts
2. **Use design terminology** - Terms like "hero section," "card layout," "glassmorphic," "bento grid" help Stitch understand your intent
3. **Specify interactions** - Describe hover states, click actions, and transitions for more complete designs
4. **Think in components** - Break complex screens into reusable components (header, card, form, etc.)
5. **Iterate incrementally** - Make small, focused changes rather than complete redesigns
6. **Test responsiveness** - Always verify designs at multiple breakpoints (mobile, tablet, desktop)
7. **Consider accessibility** - Mention color contrast, font sizes, and touch target sizes in prompts
8. **Leverage variants** - Generate multiple options to explore different design directions quickly
## Integration with Development Workflow
### Stitch → Figma → Code
1. Generate UI in Stitch with detailed prompts
2. Export to Figma for design system integration
3. Hand off to developers with design specs
4. Implement with production-ready code
### Stitch → HTML → Framework
1. Generate and refine UI in Stitch
2. Export HTML/CSS code
3. Convert to React/Vue/Svelte components
4. Integrate into application codebase
### Rapid Prototyping
1. Create multiple screen variations quickly
2. Test with users or stakeholders
3. Iterate based on feedback
4. Finalize design for development
## Conclusion
Effective Stitch prompts are specific, context-rich, and visually descriptive. By following these principles and templates, you can generate professional UI designs that serve as strong foundations for production applications.
**Remember:** Stitch is a starting point, not a final product. Use it to accelerate the design process, explore ideas quickly, and establish visual direction—then refine with human judgment and production standards.

View File

@@ -0,0 +1,541 @@
# Advanced Stitch Techniques
Advanced strategies for maximizing Stitch's capabilities and creating production-ready designs.
## Table of Contents
1. [Image-to-UI Workflows](#image-to-ui-workflows)
2. [Design System Integration](#design-system-integration)
3. [Responsive Design Strategies](#responsive-design-strategies)
4. [Accessibility Considerations](#accessibility-considerations)
5. [Performance Optimization](#performance-optimization)
6. [Component Reusability](#component-reusability)
---
## Image-to-UI Workflows
### Converting Sketches to Digital UI
Stitch can interpret hand-drawn sketches, wireframes, and rough mockups.
**Best practices:**
1. **Clear structure** - Draw distinct boxes for components
2. **Label elements** - Annotate buttons, inputs, sections
3. **Show hierarchy** - Use size and position to indicate importance
4. **Include notes** - Add text describing interactions or states
**Example workflow:**
```
1. Sketch wireframe on paper or tablet
2. Take clear photo or scan
3. Upload to Stitch with prompt:
"Convert this wireframe to a modern web interface with
glassmorphic design and purple gradient accents"
4. Refine generated design with annotations
```
### Reference-Based Design
Upload screenshots of existing designs to create similar layouts with your own branding.
**Prompt structure:**
```
Create a [type] similar to this reference image, but with:
- [Your color scheme]
- [Your content/copy]
- [Your brand style]
- [Specific modifications]
```
**Example:**
```
Create a pricing page similar to this reference, but with:
- Navy blue and gold color scheme
- 4 pricing tiers instead of 3
- Annual/monthly toggle
- Feature comparison table below
- Testimonials section at bottom
```
---
## Design System Integration
### Establishing Design Tokens
Define reusable design tokens in your initial prompt for consistency across screens.
**Token categories:**
- Colors (primary, secondary, accent, neutral, semantic)
- Typography (font families, sizes, weights, line heights)
- Spacing (scale: 4px, 8px, 16px, 24px, 32px, 48px, 64px)
- Border radius (none, sm, md, lg, full)
- Shadows (elevation levels)
**Example prompt:**
```
Dashboard using this design system:
Colors:
- Primary: #2563EB (blue)
- Secondary: #7C3AED (purple)
- Success: #10B981 (green)
- Warning: #F59E0B (amber)
- Error: #EF4444 (red)
- Neutral: #6B7280 (gray)
Typography:
- Headings: Inter Bold
- Body: Inter Regular
- Code: JetBrains Mono
Spacing: 8px base unit
Border radius: 8px for cards, 4px for buttons
Shadows: Subtle elevation with 0 4px 6px rgba(0,0,0,0.1)
```
### Component Library Approach
Create a component library by generating individual components first, then composing them into full screens.
**Workflow:**
```
1. Generate base components:
- Button variants (primary, secondary, outline, ghost)
- Input fields (text, email, password, search)
- Cards (basic, with image, with actions)
- Navigation (header, sidebar, tabs)
2. Document component specs:
- States (default, hover, active, disabled)
- Sizes (sm, md, lg)
- Variants
3. Compose screens using established components:
"Create a settings page using the button and input
components from previous generations"
```
---
## Responsive Design Strategies
### Mobile-First Approach
Start with mobile design, then scale up to tablet and desktop.
**Prompt sequence:**
**Step 1 - Mobile (375px):**
```
Mobile app home screen for recipe platform
Layout:
- Stacked vertical sections
- Full-width cards
- Bottom navigation
- Hamburger menu
Content:
- Search bar at top
- Featured recipe hero card
- Category chips (horizontal scroll)
- Recipe grid (1 column)
```
**Step 2 - Tablet (768px):**
```
Adapt the mobile recipe home screen for tablet:
- 2-column recipe grid
- Persistent sidebar navigation (replaces hamburger)
- Larger featured hero with side-by-side layout
- Category chips remain scrollable
```
**Step 3 - Desktop (1440px):**
```
Adapt for desktop:
- 3-column recipe grid
- Full sidebar with categories expanded
- Hero section with 3 featured recipes
- Top navigation bar with search and user menu
```
### Breakpoint-Specific Prompts
Specify exact breakpoints and layout changes.
**Example:**
```
Responsive product grid:
Mobile (< 640px):
- 1 column
- Full-width cards
- Vertical image orientation
Tablet (640px - 1024px):
- 2 columns
- Square images
- Compact card layout
Desktop (> 1024px):
- 4 columns
- Hover effects with overlay
- Quick view button
```
---
## Accessibility Considerations
### WCAG Compliance Prompts
Include accessibility requirements directly in prompts.
**Key areas to specify:**
1. **Color Contrast**
```
Ensure all text meets WCAG AA standards:
- Normal text: 4.5:1 contrast ratio minimum
- Large text (18pt+): 3:1 contrast ratio minimum
- Interactive elements: clear focus states with 3:1 contrast
```
2. **Touch Targets**
```
All interactive elements minimum 44x44px touch target size
Adequate spacing between clickable elements (8px minimum)
```
3. **Keyboard Navigation**
```
Clear focus indicators on all interactive elements
Logical tab order following visual flow
Skip navigation link for keyboard users
```
4. **Screen Reader Support**
```
Descriptive button labels (not just "Click here")
Alt text for all meaningful images
Form labels properly associated with inputs
Heading hierarchy (H1 → H2 → H3)
```
**Comprehensive accessibility prompt:**
```
Create an accessible contact form:
Fields:
- Name (required, with aria-required)
- Email (required, with validation and error message)
- Subject (dropdown with clear labels)
- Message (textarea with character count)
Accessibility features:
- All inputs have visible labels
- Required fields marked with asterisk and aria-required
- Error messages with role="alert"
- Submit button with descriptive text
- Focus indicators with 3px blue outline
- Color contrast meets WCAG AA
- Touch targets 44x44px minimum
Style: Clean, form-focused, high contrast
Colors: Dark text on light background, red for errors
```
### Inclusive Design Patterns
**Consider diverse users:**
```
Design a video player interface that supports:
- Captions/subtitles toggle
- Audio description option
- Keyboard shortcuts (space to play/pause, arrows to seek)
- Playback speed control
- High contrast mode
- Reduced motion option (disable animations)
```
---
## Performance Optimization
### Optimized Asset Prompts
Request performance-conscious designs from the start.
**Image optimization:**
```
E-commerce product gallery with performance optimization:
- Lazy loading for images below fold
- Thumbnail images (200x200px) for grid
- Full-size images (1200x1200px) only on click
- WebP format with JPEG fallback
- Blur placeholder while loading
```
**Code efficiency:**
```
Generate lightweight HTML/CSS without:
- Unnecessary wrapper divs
- Inline styles (use classes)
- Large external dependencies
- Redundant CSS rules
```
### Progressive Enhancement
Design for core functionality first, then enhance.
**Example:**
```
Create a filterable product list with progressive enhancement:
Base (no JavaScript):
- Server-rendered product grid
- Form-based filters with submit button
- Pagination links
Enhanced (with JavaScript):
- AJAX filter updates without page reload
- Infinite scroll
- Smooth animations
- Real-time search
```
---
## Component Reusability
### Atomic Design Methodology
Build from atoms → molecules → organisms → templates → pages.
**Atoms (basic elements):**
```
Generate design system atoms:
- Button (primary, secondary, outline, ghost, danger)
- Input field (text, email, password, search, textarea)
- Label, Badge, Tag
- Icon set (24x24px, consistent style)
- Avatar (circle, square, with status indicator)
```
**Molecules (simple combinations):**
```
Create molecules using atoms:
- Search bar (input + button + icon)
- Form field (label + input + error message)
- Card header (avatar + name + timestamp + menu)
- Stat card (icon + label + value + trend)
```
**Organisms (complex components):**
```
Build organisms from molecules:
- Navigation bar (logo + search bar + user menu)
- Product card (image + title + price + rating + button)
- Comment thread (avatar + name + timestamp + text + actions)
- Data table (headers + rows + pagination + filters)
```
**Templates (page layouts):**
```
Compose templates from organisms:
- Dashboard layout (sidebar + header + content grid)
- Article layout (header + hero + content + sidebar)
- Checkout flow (progress + form + summary)
```
### Variant Generation
Create systematic variations of components.
**Button variants prompt:**
```
Generate button component with all variants:
Sizes: Small (32px), Medium (40px), Large (48px)
Types:
- Primary (filled, brand color)
- Secondary (filled, gray)
- Outline (border only)
- Ghost (transparent, hover background)
- Danger (filled, red)
States for each:
- Default
- Hover
- Active (pressed)
- Disabled
- Loading (with spinner)
Include: Icon support (left/right), full-width option
```
---
## Advanced Iteration Techniques
### Conditional Variations
Generate multiple versions based on different conditions.
**Example:**
```
Create 3 hero section variants for A/B testing:
Variant A - Image-focused:
- Large background image
- Minimal text overlay
- Single CTA button
Variant B - Text-focused:
- Solid color background
- Detailed copy with bullet points
- Two CTA buttons (primary + secondary)
Variant C - Video-focused:
- Background video
- Minimal text
- Play button + CTA
All variants use same brand colors and maintain mobile responsiveness
```
### State-Based Design
Design for all possible states, not just the happy path.
**Comprehensive state prompt:**
```
Design a data table with all states:
Default state:
- 10 rows of data
- Sortable columns
- Pagination
Loading state:
- Skeleton loaders for rows
- Disabled controls
Empty state:
- Illustration
- "No data found" message
- "Add new" CTA button
Error state:
- Error icon
- Error message
- "Retry" button
Search/Filter active:
- Applied filters shown as chips
- Clear filters option
- Result count
Selected rows:
- Checkbox selection
- Bulk action toolbar
- Select all option
```
---
## Export and Handoff Best Practices
### Preparing for Development
Before exporting, ensure designs are developer-ready.
**Pre-export checklist:**
1. **Naming conventions**
- Use semantic class names
- Follow BEM or consistent methodology
- Name components clearly
2. **Documentation**
- Add comments for complex interactions
- Document responsive breakpoints
- Note any required JavaScript behavior
3. **Asset organization**
- Export images at correct sizes
- Provide SVG for icons
- Include font files or CDN links
4. **Specifications**
- Document spacing values
- List color hex codes
- Specify font sizes and weights
### Figma Integration
Optimize Stitch → Figma workflow.
**Steps:**
```
1. Generate design in Stitch with detailed specifications
2. Use "Paste to Figma" export
3. In Figma:
- Organize layers with clear naming
- Create components from repeated elements
- Set up auto-layout for responsive behavior
- Define color and text styles
- Add design system documentation
4. Share with developers using Figma's inspect mode
```
### Code Export Refinement
Improve exported HTML/CSS for production.
**Post-export tasks:**
1. **Semantic HTML**
- Replace divs with semantic tags (header, nav, main, article, section, footer)
- Add ARIA labels where needed
- Ensure proper heading hierarchy
2. **CSS optimization**
- Extract repeated styles into utility classes
- Use CSS custom properties for theme values
- Organize with methodology (BEM, SMACSS, etc.)
- Add responsive media queries if missing
3. **Accessibility**
- Add alt text to images
- Ensure form labels are associated
- Add focus styles
- Test with screen reader
4. **Performance**
- Optimize images
- Minify CSS
- Remove unused styles
- Add loading strategies
---
## Conclusion
These advanced techniques help you move beyond basic Stitch usage to create production-ready, accessible, and performant designs. Combine these strategies with the core prompting principles to maximize your efficiency and output quality.
**Key takeaways:**
- Use images and references to accelerate design
- Establish design systems early for consistency
- Design responsively from the start
- Prioritize accessibility in every prompt
- Think in reusable components
- Plan for all states, not just happy paths
- Refine exports before production use

View File

@@ -0,0 +1,601 @@
# Stitch Prompt Examples Library
Comprehensive collection of effective Stitch prompts organized by use case and complexity level.
## Table of Contents
1. [Landing Pages](#landing-pages)
2. [Mobile Apps](#mobile-apps)
3. [Dashboards](#dashboards)
4. [E-commerce](#e-commerce)
5. [Forms & Authentication](#forms--authentication)
6. [Content Platforms](#content-platforms)
7. [SaaS Applications](#saas-applications)
---
## Landing Pages
### Startup Landing Page
```
Landing page for AI writing assistant startup
Hero Section:
- Bold headline: "Write Better, Faster with AI"
- Subheadline explaining value proposition
- Primary CTA button "Start Free Trial"
- Secondary CTA "Watch Demo"
- Hero illustration showing product interface
Features Section:
- 3-column grid with icons
- Feature 1: AI-powered suggestions
- Feature 2: Multi-language support
- Feature 3: Team collaboration
Social Proof:
- Customer logos (6 companies)
- Testimonial cards with photos and quotes
Pricing:
- 3-tier pricing table (Free, Pro, Enterprise)
- Feature comparison
- Annual/Monthly toggle
Style: Modern, tech-forward, trustworthy
Colors: Deep purple primary, cyan accents, white background
Typography: Sans-serif, clean and readable
Platform: Responsive web
```
### Service Business Landing
```
Landing page for boutique yoga studio
Above Fold:
- Full-width hero image of studio space
- Centered headline: "Find Your Balance"
- Class schedule CTA button
- Location and hours overlay
Class Offerings:
- Card grid (2x3) with class types
- Each card: class name, duration, difficulty level, instructor photo
- Hover effect reveals class description
Instructor Profiles:
- Horizontal scrolling carousel
- Circular photos with names and specialties
Testimonials:
- Large quote format with student photos
- 5-star ratings
Call-to-Action:
- "Book Your First Class Free" banner
- Contact form with name, email, phone
Style: Calm, organic, welcoming
Colors: Sage green, warm beige, soft white
Typography: Serif headings, sans-serif body
Platform: Responsive web with mobile-first approach
```
---
## Mobile Apps
### Fitness Tracking App
```
Fitness tracking app - Home screen (iOS)
Top Section:
- Greeting with user name and current date
- Daily goal progress ring (calories, steps, active minutes)
- Motivational message based on progress
Quick Stats Cards:
- Today's steps with trend arrow
- Active calories burned
- Distance covered
- Active time
Recent Workouts:
- List of last 3 workouts with type, duration, calories
- Thumbnail icons for workout type
- Swipe actions for details/delete
Bottom Section:
- "Start Workout" prominent button
- Quick access to workout types (Run, Cycle, Strength, Yoga)
Bottom Navigation:
- Home (active), Workouts, Progress, Profile
Style: Energetic, motivating, data-focused
Colors: Vibrant orange primary, dark mode background, neon accents
Typography: Bold headings, clear metrics
Platform: iOS mobile (375x812px)
```
### Food Delivery App
```
Restaurant detail screen for food delivery app
Header:
- Restaurant cover photo
- Back button and favorite icon
- Restaurant name, rating (4.5 stars), delivery time (25-35 min)
- Cuisine tags (Italian, Pizza, Pasta)
Info Bar:
- Delivery fee, minimum order, distance
- Promo badge if applicable
Menu Categories:
- Sticky horizontal scroll tabs (Popular, Pizza, Pasta, Salads, Drinks)
Menu Items:
- Card layout with food photo, name, description, price
- Add button with quantity selector
- Dietary icons (vegetarian, spicy, etc.)
Floating Cart:
- Bottom sheet showing cart summary
- Item count and total price
- "View Cart" button
Style: Appetite-appealing, easy to scan, vibrant
Colors: Red primary (hunger-inducing), white background, food photography
Typography: Friendly sans-serif
Platform: Android mobile (360x800px)
```
---
## Dashboards
### Analytics Dashboard
```
Web analytics dashboard for marketing team
Top Bar:
- Date range selector (last 7 days, 30 days, custom)
- Export button
- Notification bell
- User profile dropdown
Key Metrics Row:
- 4 metric cards in a row
- Card 1: Total visitors (with % change)
- Card 2: Conversion rate (with trend sparkline)
- Card 3: Bounce rate (with comparison to previous period)
- Card 4: Average session duration
Main Chart:
- Line chart showing traffic over time
- Multiple lines for different sources (Organic, Paid, Social, Direct)
- Interactive legend to toggle lines
- Hover tooltips with exact values
Secondary Panels:
- Left: Top pages table (page, views, avg time, bounce rate)
- Right: Traffic sources pie chart with percentages
Bottom Section:
- Recent conversions table with user, source, value, timestamp
Style: Clean, data-focused, professional
Colors: Navy blue sidebar, white main area, colorful chart lines
Typography: Monospace for numbers, sans-serif for labels
Platform: Desktop web (1440px+)
```
### Project Management Dashboard
```
Project management dashboard - Team view
Sidebar:
- Workspace selector dropdown
- Navigation: Dashboard, Projects, Tasks, Team, Reports
- Create new project button
Header:
- Project name and status badge
- Team member avatars (max 5, then +N)
- Search bar
- View options (Board, List, Calendar)
Kanban Board:
- 4 columns: To Do, In Progress, Review, Done
- Drag-and-drop cards
- Each card shows: title, assignee avatar, due date, priority label, comment count
- Add card button at bottom of each column
Right Panel:
- Task details when card is selected
- Description, attachments, comments, activity log
Quick Stats:
- Progress bar showing completion percentage
- Tasks by status mini chart
- Upcoming deadlines list
Style: Modern, organized, collaborative
Colors: Purple primary, light gray background, status color coding
Typography: Clear sans-serif, readable at all sizes
Platform: Desktop web (1280px+)
```
---
## E-commerce
### Product Detail Page
```
Product detail page for fashion e-commerce
Image Gallery:
- Main product image (large, zoomable)
- Thumbnail strip below (5-6 images)
- 360° view option
- Video thumbnail if available
Product Info:
- Brand name
- Product title
- Star rating (4.8) with review count (234 reviews)
- Price with original price struck through if on sale
- Sale badge if applicable
Options:
- Size selector (XS, S, M, L, XL) with availability indicators
- Color swatches with product image preview on hover
- Quantity selector
Actions:
- Add to Cart button (prominent)
- Add to Wishlist button (outline)
- Size guide link
- Shipping calculator
Product Details:
- Tabbed interface (Description, Specifications, Reviews, Shipping)
- Expandable sections on mobile
Recommendations:
- "You May Also Like" carousel
- "Complete the Look" suggestions
Style: Clean, product-focused, trustworthy
Colors: Black and white with brand accent color (burgundy)
Typography: Elegant serif for headings, sans-serif for body
Platform: Responsive web
```
### Shopping Cart
```
Shopping cart page with checkout flow
Cart Items:
- List of products with thumbnail, name, size/color, price
- Quantity adjuster (+/- buttons)
- Remove item link
- Save for later option
Order Summary:
- Sticky sidebar on desktop, bottom sheet on mobile
- Subtotal
- Shipping (calculated or "Free over $50")
- Tax (estimated)
- Discount code input field
- Total (prominent)
- Checkout button (large, primary color)
Trust Signals:
- Secure checkout badge
- Free returns policy
- Customer service contact
Recommendations:
- "Frequently Bought Together" section
- Promotional banner for free shipping threshold
Empty State:
- Illustration
- "Your cart is empty" message
- "Continue Shopping" button
- Recently viewed items
Style: Clean, conversion-focused, reassuring
Colors: Green for checkout CTA, neutral grays, trust badges
Typography: Clear pricing, readable product names
Platform: Responsive web
```
---
## Forms & Authentication
### Multi-Step Signup Form
```
B2B SaaS signup flow - 3 steps
Progress Indicator:
- Step 1: Account (active)
- Step 2: Company
- Step 3: Team
Step 1 - Account Details:
- Email input with validation
- Password input with strength indicator
- Confirm password
- Terms and conditions checkbox
- "Continue" button
- "Already have an account? Sign in" link
Step 2 - Company Information:
- Company name
- Industry dropdown
- Company size radio buttons (1-10, 11-50, 51-200, 201+)
- Role/Title input
- "Back" and "Continue" buttons
Step 3 - Invite Team:
- Email input fields (dynamic, add more)
- Role selector for each invite
- "Skip for now" option
- "Finish Setup" button
Success State:
- Checkmark animation
- "Welcome to [Product]!" message
- "Go to Dashboard" button
Style: Minimal, focused, low-friction
Colors: Blue primary, white background, green success states
Typography: Clear labels, helpful microcopy
Platform: Responsive web, mobile-optimized
```
### Login Page
```
Login page for enterprise software
Left Panel (Desktop):
- Brand logo
- Hero image or illustration
- Value proposition headline
- Key benefits (3 bullet points)
Right Panel (Form):
- "Welcome back" heading
- Email input field
- Password input field with show/hide toggle
- "Remember me" checkbox
- "Forgot password?" link
- "Sign In" button (full width)
- Divider with "OR"
- SSO options (Google, Microsoft, Okta) as buttons with logos
- "Don't have an account? Sign up" link at bottom
Security Indicators:
- SSL badge
- "Your data is secure" message
Style: Professional, trustworthy, enterprise-grade
Colors: Corporate blue, white, subtle grays
Typography: Professional sans-serif
Platform: Responsive (left panel hidden on mobile)
```
---
## Content Platforms
### Blog Post Layout
```
Blog article page for tech publication
Header:
- Site navigation (logo, categories, search, subscribe)
Article Header:
- Category tag
- Article title (large, bold)
- Subtitle/excerpt
- Author info (photo, name, bio link, publish date)
- Social share buttons
- Reading time estimate
Article Body:
- Readable column width (max 680px)
- Paragraph text with proper line height
- H2 and H3 subheadings
- Pull quotes (styled distinctly)
- Inline images with captions
- Code blocks with syntax highlighting
- Embedded videos
- Table of contents (sticky sidebar on desktop)
Article Footer:
- Tags
- Share buttons
- Author card (expanded)
- Related articles (3 cards)
- Comments section
Sidebar (Desktop):
- Newsletter signup
- Popular posts
- Ad placement
Style: Editorial, readable, content-first
Colors: Black text on white, accent color for links
Typography: Serif for body text, sans-serif for UI
Platform: Responsive web
```
### Video Platform Interface
```
Video streaming platform - Watch page
Video Player:
- Full-width video player with controls
- Quality selector, playback speed, captions, fullscreen
- Progress bar with thumbnail preview on hover
Video Info:
- Video title
- View count and upload date
- Like/Dislike buttons
- Share button
- Save to playlist button
Channel Info:
- Channel avatar and name
- Subscriber count
- Subscribe button (prominent if not subscribed)
Description:
- Expandable description text
- Show more/less toggle
- Hashtags and links
Comments Section:
- Sort options (Top, Newest)
- Comment input with user avatar
- Comment cards with avatar, name, timestamp, text
- Like/Reply buttons
- Nested replies (indented)
Sidebar:
- Up next autoplay preview
- Recommended videos list (thumbnail, title, channel, views)
Style: Dark mode, video-focused, minimal distractions
Colors: Dark gray background, white text, red accent for CTAs
Typography: Sans-serif, readable at distance
Platform: Responsive web
```
---
## SaaS Applications
### Email Client Interface
```
Email client - Inbox view
Left Sidebar:
- Compose button (prominent)
- Folder list (Inbox, Sent, Drafts, Spam, Trash)
- Labels/Tags with color coding
- Storage usage indicator
Email List (Center):
- Search bar with filters
- Sort and view options
- Email rows showing:
- Sender avatar/initial
- Sender name (bold if unread)
- Subject line
- Preview text (truncated)
- Timestamp
- Attachment icon if present
- Star/flag icons
- Checkbox for bulk actions
- Pagination or infinite scroll
Email Detail (Right):
- Email header (from, to, cc, timestamp)
- Subject line
- Email body with formatting preserved
- Attachments section
- Action buttons (Reply, Reply All, Forward, Archive, Delete)
- Previous emails in thread (collapsed)
Top Bar:
- Refresh button
- Settings icon
- User profile dropdown
Style: Clean, productivity-focused, organized
Colors: Blue accents, white background, gray dividers
Typography: Sans-serif, scannable
Platform: Desktop web (1280px+)
```
### CRM Contact Detail
```
CRM contact detail page
Header:
- Contact name and company
- Contact photo/avatar
- Status badge (Lead, Customer, Inactive)
- Quick actions (Email, Call, Schedule Meeting, Edit)
Info Tabs:
- Overview (active), Activity, Deals, Notes, Files
Overview Tab:
- Contact information card (email, phone, address, social links)
- Company information card
- Tags and custom fields
- Assigned to (team member)
Activity Timeline:
- Chronological list of interactions
- Icons for type (email, call, meeting, note)
- Timestamp and description
- Filter by activity type
Deals Section:
- Active deals table (deal name, value, stage, close date)
- Won/Lost deals summary
Notes Section:
- Add note input with rich text editor
- Note cards with author, timestamp, content
- Pin important notes
Right Sidebar:
- Next scheduled activity
- Recent emails
- Related contacts
- Deal pipeline stage
Style: Professional, data-rich, organized
Colors: Navy blue, white, status color coding
Typography: Clear hierarchy, readable data
Platform: Desktop web (1440px+)
```
---
## Tips for Using These Examples
1. **Customize for your needs** - Replace placeholder content with your specific requirements
2. **Combine elements** - Mix and match components from different examples
3. **Adjust complexity** - Simplify or expand based on your project scope
4. **Specify your brand** - Add your color palette, fonts, and visual style
5. **Consider platform** - Adapt layouts for your target device (mobile/desktop)
6. **Add context** - Include user personas or use cases for better results
7. **Iterate** - Start with a basic prompt, then refine with annotations
Remember: These are starting points. Stitch works best when you provide specific details relevant to your unique project.

View File

@@ -2186,6 +2186,33 @@
"risk": "unknown",
"source": "unknown"
},
{
"id": "fp-ts-errors",
"path": "skills/fp-ts-errors",
"category": "uncategorized",
"name": "fp-ts-errors",
"description": "Handle errors as values using fp-ts Either and TaskEither for cleaner, more predictable TypeScript code. Use when implementing error handling patterns with fp-ts.",
"risk": "safe",
"source": "https://github.com/whatiskadudoing/fp-ts-skills"
},
{
"id": "fp-ts-pragmatic",
"path": "skills/fp-ts-pragmatic",
"category": "uncategorized",
"name": "fp-ts-pragmatic",
"description": "A practical, jargon-free guide to fp-ts functional programming - the 80/20 approach that gets results without the academic overhead. Use when writing TypeScript with fp-ts library.",
"risk": "safe",
"source": "https://github.com/whatiskadudoing/fp-ts-skills"
},
{
"id": "fp-ts-react",
"path": "skills/fp-ts-react",
"category": "uncategorized",
"name": "fp-ts-react",
"description": "Practical patterns for using fp-ts with React - hooks, state, forms, data fetching. Use when building React apps with functional programming patterns. Works with React 18/19, Next.js 14/15.",
"risk": "safe",
"source": "https://github.com/whatiskadudoing/fp-ts-skills"
},
{
"id": "framework-migration-code-migrate",
"path": "skills/framework-migration-code-migrate",
@@ -4760,6 +4787,15 @@
"risk": "unknown",
"source": "unknown"
},
{
"id": "stitch-ui-design",
"path": "skills/stitch-ui-design",
"category": "uncategorized",
"name": "stitch-ui-design",
"description": "Expert guide for creating effective prompts for Google Stitch AI UI design tool. Use when user wants to design UI/UX in Stitch, create app interfaces, generate mobile/web designs, or needs help crafting Stitch prompts. Covers prompt structure, specificity techniques, iteration strategies, and design-to-code workflows for Stitch by Google.",
"risk": "safe",
"source": "self"
},
{
"id": "stride-analysis-patterns",
"path": "skills/stride-analysis-patterns",

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff