Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Extracts and analyzes YouTube lecture subtitles to identify key points, evidence, and actionable insights for review, writing, and teaching purposes.
Extracts and analyzes YouTube lecture subtitles to identify key points, evidence, and actionable insights for review, writing, and teaching purposes.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
提取讲座核心结构、关键观点、证据与可执行行动,用于复盘/写作/教学。
# 基础用法 python scripts/analyze_lecture.py <YouTube视频ID或URL> # 指定语言优先级 python scripts/analyze_lecture.py <YouTube视频ID或URL> "zh-cn,en" # 仅获取摘要 python scripts/analyze_lecture.py <YouTube视频ID或URL> --summary-only
只基于字幕,不要补充;不确定要标注【不确定】 先去噪:合并重复观点、删除口头禅、修正口误 每个关键结论附【原文短引文】10–30字 区分:事实(Fact) / 观点(Claim) / 推断(Inference) / 建议(Recommendation)
A) 一句话总论(≤25字) B) 讲座结构地图(3–6段) C) 5个关键问题及回答 D) 核心概念与关系 E) 可执行提炼(行动清单) F) 亮点与反直觉 G) 盲区与待验证 摘要(中文200字 + 英文200字)
youtube-transcript-api HTTP 代理:127.0.0.1:26739
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.