Release v1.8.0: Add transcript-fixer skill
## 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>
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transcript-fixer/scripts/cli/argument_parser.py
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transcript-fixer/scripts/cli/argument_parser.py
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#!/usr/bin/env python3
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"""
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Argument Parser - CLI Argument Configuration
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SINGLE RESPONSIBILITY: Configure command-line argument parsing
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"""
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from __future__ import annotations
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import argparse
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def create_argument_parser() -> argparse.ArgumentParser:
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"""
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Create and configure the argument parser for transcript-fixer CLI.
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Returns:
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Configured ArgumentParser instance
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"""
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parser = argparse.ArgumentParser(
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description="Transcript Fixer - Iterative correction tool",
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formatter_class=argparse.RawDescriptionHelpFormatter
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)
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# Setup commands
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parser.add_argument(
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"--init",
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action="store_true",
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help="Initialize ~/.transcript-fixer/"
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)
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# Correction management
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parser.add_argument(
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"--add",
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nargs=2,
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metavar=("FROM", "TO"),
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dest="add_correction",
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help="Add correction"
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)
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parser.add_argument(
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"--list",
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action="store_true",
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dest="list_corrections",
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help="List all corrections"
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)
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# Correction workflow
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parser.add_argument(
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"--input", "-i",
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help="Input file"
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)
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parser.add_argument(
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"--output", "-o",
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help="Output directory"
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)
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parser.add_argument(
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"--stage", "-s",
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type=int,
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choices=[1, 2, 3],
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default=3,
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help="Run stage (1=dict, 2=AI, 3=full)"
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)
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parser.add_argument(
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"--domain", "-d",
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default="general",
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help="Correction domain"
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)
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# Learning commands
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parser.add_argument(
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"--review-learned",
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action="store_true",
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help="Review learned suggestions"
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)
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parser.add_argument(
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"--approve",
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nargs=2,
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metavar=("FROM", "TO"),
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help="Approve suggestion"
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)
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# Utility commands
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parser.add_argument(
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"--validate",
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action="store_true",
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help="Validate configuration and JSON files"
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)
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return parser
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