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>
45 lines
926 B
Python
45 lines
926 B
Python
#!/usr/bin/env python3
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"""
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Unified diff format generator
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SINGLE RESPONSIBILITY: Generate unified diff format output
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"""
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from __future__ import annotations
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import difflib
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from .text_splitter import split_into_words
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def generate_unified_diff(
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original: str,
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fixed: str,
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original_label: str = "原始版本",
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fixed_label: str = "修复版本"
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) -> str:
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"""
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Generate unified format diff report
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Args:
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original: Original text
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fixed: Fixed text
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original_label: Label for original version
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fixed_label: Label for fixed version
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Returns:
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Unified diff format string
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"""
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original_words = split_into_words(original)
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fixed_words = split_into_words(fixed)
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diff = difflib.unified_diff(
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original_words,
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fixed_words,
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fromfile=original_label,
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tofile=fixed_label,
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lineterm=''
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)
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return '\n'.join(diff)
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