Transcript Fixer

--- name: transcript-fixer description: Corrects speech-to-text transcription errors in meeting notes, lectures, and interviews using dictionary rules and AI. Learns patterns to build personalized correction databases. Use when working with transcripts containing ASR/STT errors, homophones, or Chinese/English mixed content requiring cleanup. --- # Transcript Fixer Correct speech-to-text transcription errors through dictionary-based rules, AI-powered corrections, and automatic pattern detection. Build a personalized knowledge base that learns from each correction. ## When to Use This Skill - Correcting ASR/STT errors in meeting notes, lectures, or interviews - Building domain-specific correction dictionaries - Fixing Chinese/English homophone errors or technical terminology - Collaborating on shared correction knowledge bases ## Prerequisites **Python execution must use `uv`** - never use system Python directly. If `uv` is not installed: ```bash # macOS/Linux curl -LsSf https://a