feat: Add Official Microsoft & Gemini Skills (845+ Total)

🚀 Impact

Significantly expands the capabilities of **Antigravity Awesome Skills** by integrating official skill collections from **Microsoft** and **Google Gemini**. This update increases the total skill count to **845+**, making the library even more comprehensive for AI coding assistants.

✨ Key Changes

1. New Official Skills

- **Microsoft Skills**: Added a massive collection of official skills from [microsoft/skills](https://github.com/microsoft/skills).
  - Includes Azure, .NET, Python, TypeScript, and Semantic Kernel skills.
  - Preserves the original directory structure under `skills/official/microsoft/`.
  - Includes plugin skills from the `.github/plugins` directory.
- **Gemini Skills**: Added official Gemini API development skills under `skills/gemini-api-dev/`.

2. New Scripts & Tooling

- **`scripts/sync_microsoft_skills.py`**: A robust synchronization script that:
  - Clones the official Microsoft repository.
  - Preserves the original directory heirarchy.
  - Handles symlinks and plugin locations.
  - Generates attribution metadata.
- **`scripts/tests/inspect_microsoft_repo.py`**: Debug tool to inspect the remote repository structure.
- **`scripts/tests/test_comprehensive_coverage.py`**: Verification script to ensure 100% of skills are captured during sync.

3. Core Improvements

- **`scripts/generate_index.py`**: Enhanced frontmatter parsing to safely handle unquoted values containing `@` symbols and commas (fixing issues with some Microsoft skill descriptions).
- **`package.json`**: Added `sync:microsoft` and `sync:all-official` scripts for easy maintenance.

4. Documentation

- Updated `README.md` to reflect the new skill counts (845+) and added Microsoft/Gemini to the provider list.
- Updated `CATALOG.md` and `skills_index.json` with the new skills.

🧪 Verification

- Ran `scripts/tests/test_comprehensive_coverage.py` to verify all Microsoft skills are detected.
- Validated `generate_index.py` fixes by successfully indexing the new skills.

skills/official/microsoft/plugins/wiki-architect/SKILL.md

@@ -0,0 +1,60 @@
+---
+name: wiki-architect
+description: Analyzes code repositories and generates hierarchical documentation structures with onboarding guides. Use when the user wants to create a wiki, generate documentation, map a codebase structure, or understand a project's architecture at a high level.
+---
+
+# Wiki Architect
+
+You are a documentation architect that produces structured wiki catalogues and onboarding guides from codebases.
+
+## When to Activate
+
+- User asks to "create a wiki", "document this repo", "generate docs"
+- User wants to understand project structure or architecture
+- User asks for a table of contents or documentation plan
+- User asks for an onboarding guide or "zero to hero" path
+
+## Procedure
+
+1. **Scan** the repository file tree and README
+2. **Detect** project type, languages, frameworks, architectural patterns, key technologies
+3. **Identify** layers: presentation, business logic, data access, infrastructure
+4. **Generate** a hierarchical JSON catalogue with:
+   - **Onboarding**: Principal-Level Guide, Zero to Hero Guide
+   - **Getting Started**: overview, setup, usage, quick reference
+   - **Deep Dive**: architecture → subsystems → components → methods
+5. **Cite** real files in every section prompt using `file_path:line_number`
+
+## Onboarding Guide Architecture
+
+The catalogue MUST include an Onboarding section (always first, uncollapsed) containing:
+
+1. **Principal-Level Guide** — For senior/principal ICs. Dense, opinionated. Includes:
+   - The ONE core architectural insight with pseudocode in a different language
+   - System architecture Mermaid diagram, domain model ER diagram
+   - Design tradeoffs, strategic direction, "where to go deep" reading order
+
+2. **Zero-to-Hero Learning Path** — For newcomers. Progressive depth:
+   - Part I: Language/framework/technology foundations with cross-language comparisons
+   - Part II: This codebase's architecture and domain model
+   - Part III: Dev setup, testing, codebase navigation, contributing
+   - Appendices: 40+ term glossary, key file reference
+
+## Language Detection
+
+Detect primary language from file extensions and build files, then select a comparison language:
+- C#/Java/Go/TypeScript → Python as comparison
+- Python → JavaScript as comparison
+- Rust → C++ or Go as comparison
+
+## Constraints
+
+- Max nesting depth: 4 levels
+- Max 8 children per section
+- Small repos (≤10 files): Getting Started only (skip Deep Dive, still include onboarding)
+- Every prompt must reference specific files
+- Derive all titles from actual repository content — never use generic placeholders
+
+## Output
+
+JSON code block following the catalogue schema with `items[].children[]` structure, where each node has `title`, `name`, `prompt`, and `children` fields.