feat: Update skill-creator and transcript-fixer

skill-creator v1.2.0 → v1.2.1:
- Add critical warning about not editing skills in cache directory
- Cache location (~/.claude/plugins/cache/) is read-only
- Changes there are lost on cache refresh

transcript-fixer v1.0.0 → v1.1.0:
- Add Chinese/Japanese/Korean domain name support (火星加速器, 具身智能)
- Add [CLAUDE_FALLBACK] signal for Claude Code to take over when GLM unavailable
- Add Prerequisites section requiring uv for Python execution
- Add Critical Workflow section for dictionary iteration
- Add AI Fallback Strategy and Database Operations sections
- Add Stages table (Dictionary → AI → Full pipeline)
- Add ensure_deps.py script for shared virtual environment
- Add database_schema.md and iteration_workflow.md references
- Update domain validation from whitelist to pattern matching
- Update tests for Chinese domains and security bypass attempts

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

transcript-fixer/references/iteration_workflow.md

@@ -0,0 +1,124 @@
+# Dictionary Iteration Workflow
+
+The core value of transcript-fixer is building a personalized correction dictionary that improves over time.
+
+## The Core Loop
+
+```
+┌─────────────────────────────────────────────────┐
+│  1. Fix transcript (manual or Stage 3)          │
+│                    ↓                            │
+│  2. Identify new ASR errors during fixing       │
+│                    ↓                            │
+│  3. IMMEDIATELY save to dictionary              │
+│                    ↓                            │
+│  4. Next time: Stage 1 auto-corrects these      │
+└─────────────────────────────────────────────────┘
+```
+
+**Key principle**: Every correction you make should be saved to the dictionary. This transforms one-time work into permanent value.
+
+## Workflow Checklist
+
+Copy this checklist when correcting transcripts:
+
+```
+Correction Progress:
+- [ ] Run correction: --input file.md --stage 3
+- [ ] Review output file for remaining ASR errors
+- [ ] Fix errors manually with Edit tool
+- [ ] Save EACH correction to dictionary with --add
+- [ ] Verify with --list that corrections were saved
+- [ ] Next time: Stage 1 handles these automatically
+```
+
+## Save Corrections Immediately
+
+After fixing any transcript, save corrections:
+
+```bash
+# Single correction
+uv run scripts/fix_transcription.py --add "错误词" "正确词" --domain general
+
+# Multiple corrections - run command for each
+uv run scripts/fix_transcription.py --add "片片总" "翩翩总" --domain general
+uv run scripts/fix_transcription.py --add "姐弟" "结业" --domain general
+uv run scripts/fix_transcription.py --add "自杀性" "自嗨性" --domain general
+uv run scripts/fix_transcription.py --add "被看" "被砍" --domain general
+uv run scripts/fix_transcription.py --add "单反过" "单访过" --domain general
+```
+
+## Verify Dictionary
+
+Always verify corrections were saved:
+
+```bash
+# List all corrections in current domain
+uv run scripts/fix_transcription.py --list
+
+# Direct database query
+sqlite3 ~/.transcript-fixer/corrections.db \
+  "SELECT from_text, to_text, domain FROM active_corrections ORDER BY added_at DESC LIMIT 10;"
+```
+
+## Domain Selection
+
+Choose the right domain for corrections:
+
+| Domain | Use Case |
+|--------|----------|
+| `general` | Common ASR errors, names, general vocabulary |
+| `embodied_ai` | 具身智能、机器人、AI 相关术语 |
+| `finance` | 财务、投资、金融术语 |
+| `medical` | 医疗、健康相关术语 |
+| `火星加速器` | Custom Chinese domain name (any valid name works) |
+
+```bash
+# Domain-specific correction
+uv run scripts/fix_transcription.py --add "股价系统" "框架系统" --domain embodied_ai
+uv run scripts/fix_transcription.py --add "片片总" "翩翩总" --domain 火星加速器
+```
+
+## Common ASR Error Patterns
+
+Build your dictionary with these common patterns:
+
+| Type | Examples |
+|------|----------|
+| **Homophones** | 赢→营, 减→剪, 被看→被砍, 营业→营的 |
+| **Names** | 片片→翩翩, 亮亮→亮哥 |
+| **Technical** | 巨升智能→具身智能, 股价→框架 |
+| **English** | log→vlog |
+| **Broken words** | 姐弟→结业, 单反→单访 |
+
+## When GLM API Fails
+
+If you see `[CLAUDE_FALLBACK]` output, the GLM API is unavailable.
+
+Steps:
+1. Claude Code should analyze the text directly for ASR errors
+2. Fix using Edit tool
+3. **MUST save corrections to dictionary** - this is critical
+4. Dictionary corrections work even without AI
+
+## Auto-Learning Feature
+
+After running Stage 3 multiple times:
+
+```bash
+# Check learned patterns
+uv run scripts/fix_transcription.py --review-learned
+
+# Approve high-confidence patterns
+uv run scripts/fix_transcription.py --approve "错误词" "正确词"
+```
+
+Patterns appearing ≥3 times at ≥80% confidence are suggested for review.
+
+## Best Practices
+
+1. **Save immediately**: Don't batch corrections - save each one right after fixing
+2. **Be specific**: Use exact phrases, not partial words
+3. **Use domains**: Organize corrections by topic for better precision
+4. **Verify**: Always run --list to confirm saves
+5. **Review suggestions**: Periodically check --review-learned for auto-detected patterns