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## New Skill: transcript-fixer v1.0.0 Correct speech-to-text (ASR/STT) transcription errors through dictionary-based rules and AI-powered corrections with automatic pattern learning. **Features:** - Two-stage correction pipeline (dictionary + AI) - Automatic pattern detection and learning - Domain-specific dictionaries (general, embodied_ai, finance, medical) - SQLite-based correction repository - Team collaboration with import/export - GLM API integration for AI corrections - Cost optimization through dictionary promotion **Use cases:** - Correcting meeting notes, lecture recordings, or interview transcripts - Fixing Chinese/English homophone errors and technical terminology - Building domain-specific correction dictionaries - Improving transcript accuracy through iterative learning **Documentation:** - Complete workflow guides in references/ - SQL query templates - Troubleshooting guide - Team collaboration patterns - API setup instructions **Marketplace updates:** - Updated marketplace to v1.8.0 - Added transcript-fixer plugin (category: productivity) - Updated README.md with skill description and use cases - Updated CLAUDE.md with skill listing and counts 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
126 lines
3.4 KiB
Markdown
126 lines
3.4 KiB
Markdown
# Quick Reference
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**Storage**: transcript-fixer uses SQLite database for corrections storage.
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**Database location**: `~/.transcript-fixer/corrections.db`
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## Quick Start Examples
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### Adding Corrections via CLI
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```bash
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# Add a simple correction
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uv run scripts/fix_transcription.py --add "巨升智能" "具身智能" --domain embodied_ai
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# Add corrections for specific domain
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uv run scripts/fix_transcription.py --add "奇迹创坛" "奇绩创坛" --domain general
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uv run scripts/fix_transcription.py --add "矩阵公司" "初创公司" --domain general
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```
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### Adding Corrections via SQL
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```bash
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sqlite3 ~/.transcript-fixer/corrections.db
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# Insert corrections
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INSERT INTO corrections (from_text, to_text, domain, source)
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VALUES ('巨升智能', '具身智能', 'embodied_ai', 'manual');
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INSERT INTO corrections (from_text, to_text, domain, source)
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VALUES ('巨升', '具身', 'embodied_ai', 'manual');
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INSERT INTO corrections (from_text, to_text, domain, source)
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VALUES ('奇迹创坛', '奇绩创坛', 'general', 'manual');
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# Exit
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.quit
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```
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### Adding Context Rules via SQL
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Context rules use regex patterns for context-aware corrections:
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```bash
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sqlite3 ~/.transcript-fixer/corrections.db
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# Add context-aware rules
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INSERT INTO context_rules (pattern, replacement, description, priority)
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VALUES ('巨升方向', '具身方向', '巨升→具身', 10);
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INSERT INTO context_rules (pattern, replacement, description, priority)
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VALUES ('巨升现在', '具身现在', '巨升→具身', 10);
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INSERT INTO context_rules (pattern, replacement, description, priority)
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VALUES ('近距离的去看', '近距离地去看', '的→地 副词修饰', 5);
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# Exit
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.quit
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```
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### Adding Corrections via Python API
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Save as `add_corrections.py` and run with `uv run add_corrections.py`:
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```python
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#!/usr/bin/env -S uv run
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from pathlib import Path
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from core import CorrectionRepository, CorrectionService
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# Initialize service
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db_path = Path.home() / ".transcript-fixer" / "corrections.db"
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repository = CorrectionRepository(db_path)
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service = CorrectionService(repository)
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# Add corrections
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corrections = [
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("巨升智能", "具身智能", "embodied_ai"),
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("巨升", "具身", "embodied_ai"),
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("奇迹创坛", "奇绩创坛", "general"),
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("火星营", "火星营", "general"),
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("矩阵公司", "初创公司", "general"),
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("股价", "框架", "general"),
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("三观", "三关", "general"),
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]
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for from_text, to_text, domain in corrections:
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service.add_correction(from_text, to_text, domain)
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print(f"✅ Added: '{from_text}' → '{to_text}' (domain: {domain})")
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# Close connection
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service.close()
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```
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## Bulk Import Example
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Use the provided bulk import script for importing multiple corrections:
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```bash
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uv run scripts/examples/bulk_import.py
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```
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## Querying the Database
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### View Active Corrections
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```bash
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sqlite3 ~/.transcript-fixer/corrections.db "SELECT from_text, to_text, domain FROM active_corrections;"
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```
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### View Statistics
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```bash
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sqlite3 ~/.transcript-fixer/corrections.db "SELECT * FROM correction_statistics;"
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```
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### View Context Rules
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```bash
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sqlite3 ~/.transcript-fixer/corrections.db "SELECT pattern, replacement, priority FROM context_rules WHERE is_active = 1 ORDER BY priority DESC;"
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```
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## See Also
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- `references/file_formats.md` - Complete database schema documentation
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- `references/script_parameters.md` - CLI command reference
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- `SKILL.md` - Main user documentation
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