feat: add 4 universal skills from cli-ai-skills

- Add audio-transcriber skill (v1.2.0): Transform audio to Markdown with Whisper
- Add youtube-summarizer skill (v1.2.0): Generate summaries from YouTube videos
- Update prompt-engineer skill: Enhanced with 11 optimization frameworks
- Update skill-creator skill: Improved automation workflow

All skills are zero-config, cross-platform (Claude Code, Copilot CLI, Codex)
and follow Quality Bar V4 standards.

Source: https://github.com/ericgandrade/cli-ai-skills

skills/audio-transcriber/CHANGELOG.md

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+# Changelog - audio-transcriber
+
+All notable changes to the audio-transcriber skill will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+---
+
+## [1.1.0] - 2026-02-03
+
+### ✨ Added
+
+- **Intelligent Prompt Workflow** (Step 3b) - Complete integration with prompt-engineer skill
+  - **Scenario A**: User-provided prompts are automatically improved with prompt-engineer
+    - Displays both original and improved versions side-by-side
+    - Single confirmation: "Usar versão melhorada? [s/n]"
+  - **Scenario B**: Auto-generation when no prompt provided
+    - Analyzes transcript and suggests document type (ata, resumo, notas)
+    - Shows suggestion and asks confirmation
+    - Generates complete structured prompt (RISEN/RODES/STAR)
+    - Shows preview and asks final confirmation
+    - Falls back to DEFAULT_MEETING_PROMPT if declined
+
+- **LLM Integration** - Process transcripts with Claude CLI or GitHub Copilot CLI
+  - Priority: Claude > GitHub Copilot > None (transcript-only mode)
+  - Step 0b: CLI detection logic documented
+  - Timeout handling (5 minutes default)
+  - Graceful fallback if CLI unavailable
+
+- **Progress Indicators** - Visual feedback during long operations
+  - `tqdm` progress bar for Whisper transcription segments
+  - `rich` spinner for LLM processing
+  - Clear status messages at each step
+
+- **Timestamp-based File Naming** - Avoid overwriting previous transcriptions
+  - Format: `transcript-YYYYMMDD-HHMMSS.md`
+  - Format: `ata-YYYYMMDD-HHMMSS.md`
+  - Prevents data loss from repeated runs
+
+- **Automatic Cleanup** - Remove temporary files after processing
+  - Deletes `metadata.json` and `transcription.json` automatically
+  - `--keep-temp` flag to preserve if needed
+  - Clean output directory
+
+- **Rich Terminal UI** - Beautiful output with `rich` library
+  - Formatted panels for prompt previews
+  - Color-coded status messages (green=success, yellow=warning, red=error)
+  - Spinner animations for long-running tasks
+
+- **Dual Output Support** - Generate both transcript and processed ata
+  - `transcript-*.md` - Raw transcription with timestamps
+  - `ata-*.md` - Intelligent summary/meeting minutes (if LLM available)
+  - User can decline LLM processing to get transcript-only
+
+### 🔧 Changed
+
+- **SKILL.md** - Major documentation updates
+  - Added Step 0b (CLI Detection)
+  - Updated Step 2 (Progress Indicators)
+  - Added Step 3b (Intelligent Prompt Workflow with 150+ lines)
+  - Updated version to 1.1.0
+  - Added detailed workflow diagrams for both scenarios
+
+- **install-requirements.sh** - Added UI libraries
+  - Now installs `tqdm` and `rich` packages
+  - Graceful fallback if installation fails
+  - Updated success messages
+
+- **Python Implementation** - Complete refactor
+  - Created `scripts/transcribe.py` (516 lines)
+  - Functions: `detect_cli_tool()`, `invoke_prompt_engineer()`, `handle_prompt_workflow()`, `process_with_llm()`, `transcribe_audio()`, `save_outputs()`, `cleanup_temp_files()`
+  - Command-line arguments: `--prompt`, `--model`, `--output-dir`, `--keep-temp`
+  - Auto-installs `rich` and `tqdm` if missing
+
+### 🐛 Fixed
+
+- **User prompts no longer ignored** - v1.0.0 completely ignored custom prompts
+  - Now processes all prompts (custom or auto-generated) with LLM
+  - Improves simple prompts into structured frameworks
+
+- **Temporary files cleanup** - v1.0.0 left `metadata.json` and `transcription.json` as trash
+  - Now automatically removed after processing
+  - Clean output directory
+
+- **File overwriting** - v1.0.0 used same filename (e.g., `meeting.md`) every time
+  - Now uses timestamp to prevent data loss
+  - Each run creates unique files
+
+- **Missing ata/summary** - v1.0.0 only generated raw transcript
+  - Now generates intelligent ata/resumo using LLM
+  - Respects user's prompt instructions
+
+- **No progress feedback** - v1.0.0 had silent processing (users didn't know if it froze)
+  - Now shows progress bar for transcription
+  - Shows spinner for LLM processing
+  - Clear status messages throughout
+
+### 📝 Notes
+
+- **Backward Compatibility:** Fully compatible with v1.0.0 workflows
+- **Requires:** Python 3.8+, faster-whisper OR whisper, tqdm, rich
+- **Optional:** Claude CLI or GitHub Copilot CLI for intelligent processing
+- **Optional:** prompt-engineer skill for automatic prompt generation
+
+### 🔗 Related Issues
+
+- Fixes #1: Prompt do usuário RISEN ignorado
+- Fixes #2: Arquivos temporários (metadata.json, transcription.json) deixados como lixo
+- Fixes #3: Output incompleto (apenas transcript RAW, sem ata)
+- Fixes #4: Falta de indicador de progresso visual
+- Fixes #5: Formato de saída sem timestamp
+
+---
+
+## [1.0.0] - 2026-02-02
+
+### ✨ Initial Release
+
+- Audio transcription using Faster-Whisper or OpenAI Whisper
+- Automatic language detection
+- Speaker diarization (basic)
+- Voice Activity Detection (VAD)
+- Markdown output with metadata table
+- Installation script for dependencies
+- Example scripts for basic transcription
+- Support for multiple audio formats (MP3, WAV, M4A, OGG, FLAC, WEBM)
+- FFmpeg integration for format conversion
+- Zero-configuration philosophy
+
+### 📝 Known Limitations (Fixed in v1.1.0)
+
+- User prompts ignored (no LLM integration)
+- Only raw transcript generated (no ata/summary)
+- Temporary files not cleaned up
+- No progress indicators
+- Files overwritten on repeated runs