OpenClaw

youtube-transcript-pipeline-lite

Run a lightweight YouTube transcript workflow: transcribe, attribution cleanup, translation, and packaging with minimal tooling. Use for repeatable transcript handoff tasks when you need a concise, auditable process over custom automation.

bluebirdback0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install bluebirdback/youtube-transcript-pipeline-lite

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

YouTube Transcript Pipeline (Lite)

Quick Start

Use this when a user asks for:

YouTube transcript generation and cleanup
speaker correction around interview/interjector vs main speaker
translated transcript output while preserving timestamps/speakers
ready-to-share folder packaging

Minimal Workflow

Transcribe
- Run your existing transcript flow for the target video (word-level preferred for reliable speaker calibration).
- Keep all raw outputs.
Speaker cleanup (small-impact)
- Preserve the default/primary speaker mapping.
- Only flip clearly short-interjection/question lines when they are obviously misattributed.
- Keep line count and timestamps unchanged.
Translate (optional)
- Translate content line-by-line.
- Keep format exactly: [HH:MM:SS] Speaker: text.
- Keep technical terms unless explicitly asked to simplify.
Package for handoff
- Create concise structure: transcripts/, artifacts/, MANIFEST.txt.
- Include one reviewed transcript + one translated version when asked.

What not to do in this skill

Do not introduce heavy automation assumptions.
Do not change line/timestamp structure unless user explicitly asks.
Do not aggressively relabel all speaker turns; prefer conservative flips.

Quality checks

Validate final line counts against source.
Confirm active final files are present and clearly named.
Keep every major handoff stage discoverable in manifest.

Reference

See references/limits.md for quick trade-offs and rollback guidance.

来源信息

Source: github
Repository: openclaw/skills
Path: skills/bluebirdback/youtube-transcript-pipeline-lite
Version: —
Commit: 3509a8f95f8b09c346f3ad1d86227c301b421630
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# YouTube Transcript Pipeline (Lite)

## Quick Start

Use this when a user asks for:
- YouTube transcript generation and cleanup
- speaker correction around interview/interjector vs main speaker
- translated transcript output while preserving timestamps/speakers
- ready-to-share folder packaging

## Minimal Workflow

1. **Transcribe**
- Run your existing transcript flow for the target video (word-level preferred for reliable speaker calibration).
- Keep all raw outputs.

2. **Speaker cleanup (small-impact)**
- Preserve the default/primary speaker mapping.
- Only flip clearly short-interjection/question lines when they are obviously misattributed.
- Keep line count and timestamps unchanged.

3. **Translate (optional)**
- Translate content line-by-line.
- Keep format exactly: `[HH:MM:SS] Speaker: text`.
- Keep technical terms unless explicitly asked to simplify.

4. **Package for handoff**
- Create concise structure: `transcripts/`, `artifacts/`, `MANIFEST.txt`.
- Include one reviewed transcript + one translated version when asked.

## What not to do in this skill

- Do not introduce heavy automation assumptions.
- Do not change line/timestamp structure unless user explicitly asks.
- Do not aggressively relabel all speaker turns; prefer conservative flips.

## Quality checks

- Validate final line counts against source.
- Confirm active final files are present and clearly named.
- Keep every major handoff stage discoverable in manifest.

## Reference

See `references/limits.md` for quick trade-offs and rollback guidance.

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