bd0aa12004
## 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>
38 lines
799 B
Python
38 lines
799 B
Python
#!/usr/bin/env python3
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"""
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HTML diff format generator
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SINGLE RESPONSIBILITY: Generate HTML side-by-side comparison
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"""
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from __future__ import annotations
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import difflib
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def generate_html_diff(original: str, fixed: str) -> str:
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"""
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Generate HTML format comparison report (side-by-side)
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Args:
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original: Original text
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fixed: Fixed text
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Returns:
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HTML format string with side-by-side comparison
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"""
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original_lines = original.splitlines(keepends=True)
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fixed_lines = fixed.splitlines(keepends=True)
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differ = difflib.HtmlDiff(wrapcolumn=80)
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html = differ.make_file(
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original_lines,
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fixed_lines,
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fromdesc='原始版本',
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todesc='修复版本',
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context=True,
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numlines=3
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)
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return html
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