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## 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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纠错词典配置指南
词典结构
纠错词典位于 fix_transcription.py 中,包含两部分:
1. 上下文规则 (CONTEXT_RULES)
用于需要结合上下文判断的替换:
CONTEXT_RULES = [
{
"pattern": r"正则表达式",
"replacement": "替换文本",
"description": "规则说明"
}
]
示例:
{
"pattern": r"近距离的去看",
"replacement": "近距离地去看",
"description": "修正'的'为'地'"
}
2. 通用词典 (CORRECTIONS_DICT)
用于直接字符串替换:
CORRECTIONS_DICT = {
"错误词汇": "正确词汇",
}
示例:
{
"巨升智能": "具身智能",
"奇迹创坛": "奇绩创坛",
"矩阵公司": "初创公司",
}
添加自定义规则
步骤1: 识别错误模式
从修复报告中识别重复出现的错误。
步骤2: 选择规则类型
- 简单替换 → 使用 CORRECTIONS_DICT
- 需要上下文 → 使用 CONTEXT_RULES
步骤3: 添加到词典
编辑 scripts/fix_transcription.py:
CORRECTIONS_DICT = {
# 现有规则...
"你的错误": "正确词汇", # 添加新规则
}
步骤4: 测试
运行修复脚本测试新规则。
常见错误类型
同音字错误
"股价": "框架",
"三观": "三关",
专业术语
"巨升智能": "具身智能",
"近距离": "具身", # 某些上下文中
公司名称
"奇迹创坛": "奇绩创坛",
优先级
- 先应用 CONTEXT_RULES (精确匹配)
- 再应用 CORRECTIONS_DICT (全局替换)