## 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>
71 lines
1.7 KiB
Python
Executable File
71 lines
1.7 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Transcript Fixer - Main Entry Point
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SINGLE RESPONSIBILITY: Route CLI commands to handlers
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This is the main entry point for the transcript-fixer tool.
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It parses arguments and dispatches to appropriate command handlers.
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Usage:
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# Setup
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python fix_transcription.py --init
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# Correction workflow
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python fix_transcription.py --input file.md --stage 3
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# Manage corrections
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python fix_transcription.py --add "错误" "正确"
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python fix_transcription.py --list
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# Review learned suggestions
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python fix_transcription.py --review-learned
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python fix_transcription.py --approve "错误" "正确"
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# Validate configuration
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python fix_transcription.py --validate
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"""
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from __future__ import annotations
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from cli import (
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cmd_init,
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cmd_add_correction,
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cmd_list_corrections,
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cmd_run_correction,
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cmd_review_learned,
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cmd_approve,
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cmd_validate,
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create_argument_parser,
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)
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def main():
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"""Main entry point - parse arguments and dispatch to commands"""
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parser = create_argument_parser()
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args = parser.parse_args()
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# Dispatch commands
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if args.init:
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cmd_init(args)
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elif args.validate:
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cmd_validate(args)
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elif args.add_correction:
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args.from_text, args.to_text = args.add_correction
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cmd_add_correction(args)
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elif args.list_corrections:
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cmd_list_corrections(args)
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elif args.review_learned:
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cmd_review_learned(args)
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elif args.approve:
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args.from_text, args.to_text = args.approve
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cmd_approve(args)
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elif args.input:
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cmd_run_correction(args)
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else:
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parser.print_help()
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if __name__ == "__main__":
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main()
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