## 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>
19 lines
509 B
Python
19 lines
509 B
Python
"""
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Diff format generators for transcript comparison
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"""
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from .unified_format import generate_unified_diff
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from .html_format import generate_html_diff
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from .inline_format import generate_inline_diff
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from .markdown_format import generate_markdown_report
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from .change_extractor import extract_changes, generate_change_summary
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__all__ = [
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'generate_unified_diff',
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'generate_html_diff',
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'generate_inline_diff',
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'generate_markdown_report',
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'extract_changes',
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'generate_change_summary',
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]
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