subtitle-correction

Subtitle Correction Skill

This skill corrects speech recognition errors in subtitle files while strictly preserving timeline information.

Interactive Workflow

Step 1: Request Terminology from User

IMPORTANT: Before starting any correction, ALWAYS ask the user for domain-specific terms.

Prompt the user with:

在开始修正之前，请提供一些关键术语，帮助我更准确地识别和修正语音识别错误：

1. **专有名词**：人名、品牌名、产品名等（如：Anthropic、Claude）
2. **技术术语**：框架、库、工具名称（如：LangChain、OpenAI、PyTorch）
3. **领域词汇**：行业特定词汇（如：checkpointer、middleware、runtime）
4. **其他关键词**：视频中频繁出现的重要词汇

请用逗号分隔，例如：`LangChain, Agent, OpenAI, checkpointer`

For English users:

Before I begin correction, please provide key terms to help me accurately identify speech recognition errors:

1. **Proper nouns**: Names, brands, products (e.g., Anthropic, Claude)
2. **Technical terms**: Frameworks, libraries, tools (e.g., LangChain, PyTorch)
3. **Domain vocabulary**: Industry-specific terms (e.g., checkpointer, middleware)
4. **Other keywords**: Important words that appear frequently

Please separate with commas, e.g.: `LangChain, Agent, OpenAI, checkpointer`

Step 2: Confirm Understanding

After receiving terms, confirm by:

1. Listing the terms received
2. Identifying the likely domain/context (AI/ML tutorial, web dev, etc.)
3. Asking if there are any additional terms before proceeding

Example response:

收到以下术语：
- 技术框架：LangChain, LangGraph, OpenAI
- 技术概念：Agent, checkpointer, runtime

看起来这是一个 LangChain 智能体开发的教程视频。

还有其他需要补充的术语吗？如果没有，我将开始修正字幕。

Step 3: Process with Terms

Use the provided terms to:

1. Build a mental model of expected vocabulary
2. Identify likely speech recognition errors
3. Apply consistent corrections throughout

When User Doesn't Provide Terms

If user says "没有" / "no" / "直接开始":

1. Proceed with correction using built-in patterns
2. Flag uncertain corrections for user review
3. After completion, ask if any terms were missed

Core Workflow

1. Read the subtitle file - Load the .srt file provided by the user
2. Identify error patterns - Recognize common speech recognition mistakes
3. Apply corrections - Fix errors while preserving timestamps exactly
4. Output corrected file - Return or save based on user's context