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youtube-summarizerYouTube 总结器

Agent Skill

youtube-summarizer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

222

周安装

9

GitHub Stars

公开资料未说明

下载量

70
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:youtube-summarizer(YouTube 总结器)
来源仓库:https://github.com/clawdbot/skills
仓库路径:skills/youtube-summarizer
安装命令:
npx skills add clawdbot/skills --skill "youtube-summarizer"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add clawdbot/skills --skill "youtube-summarizer"

简介

YouTube 总结器用于发现并安装 AI 代理技能。

  • 适用于 Codex、Claude、Cursor 和 Gemini CLI 环境。
  • 支持技能管理和集成到现有工作流中。
  • 安装命令:npx skills add clawdbot/skills --skill "youtube-summarizer"。
  • 使用前请确认权限范围、维护状态及是否触发联网或命令执行。

SKILL.md

name
youtube-summarizer
description
Automatically fetch YouTube video transcripts, generate structured summaries, and send full transcripts to messaging platforms. Detects YouTube URLs and provides metadata, key insights, and downloadable transcripts.
version
1.0.0
author
abe238
tags
[youtube, transcription, summarization, video, telegram]

YouTube Summarizer Skill

Automatically fetch transcripts from YouTube videos, generate structured summaries, and deliver full transcripts to messaging platforms.

When to Use

Activate this skill when:

  • User shares a YouTube URL (youtube.com/watch, youtu.be, youtube.com/shorts)
  • User asks to summarize or transcribe a YouTube video
  • User requests information about a YouTube video's content

Dependencies

Required: MCP YouTube Transcript server must be installed at: /root/clawd/mcp-server-youtube-transcript

If not present, install it:

cd /root/clawd
git clone https://github.com/kimtaeyoon83/mcp-server-youtube-transcript.git
cd mcp-server-youtube-transcript
npm install && npm run build

Workflow

1. Detect YouTube URL

Extract video ID from these patterns:

  • https://www.youtube.com/watch?v=VIDEO_ID
  • https://youtu.be/VIDEO_ID
  • https://www.youtube.com/shorts/VIDEO_ID
  • Direct video ID: VIDEO_ID (11 characters)

2. Fetch Transcript

Run this command to get the transcript:

cd /root/clawd/mcp-server-youtube-transcript && node --input-type=module -e "
import { getSubtitles } from './dist/youtube-fetcher.js';
const result = await getSubtitles({ videoID: 'VIDEO_ID', lang: 'en' });
console.log(JSON.stringify(result, null, 2));
" > /tmp/yt-transcript.json

Replace VIDEO_ID with the extracted ID. Read the output from /tmp/yt-transcript.json.

3. Process the Data

Parse the JSON to extract:

  • result.metadata.title - Video title
  • result.metadata.author - Channel name
  • result.metadata.viewCount - Formatted view count
  • result.metadata.publishDate - Publication date
  • result.actualLang - Language used
  • result.lines - Array of transcript segments

Full text: result.lines.map(l => l.text).join(' ')

4. Generate Summary

Create a structured summary using this template:

📹 **Video:** [title]
👤 **Channel:** [author] | 👁️ **Views:** [views] | 📅 **Published:** [date]

**🎯 Main Thesis:**
[1-2 sentence core argument/message]

**💡 Key Insights:**
- [insight 1]
- [insight 2]
- [insight 3]
- [insight 4]
- [insight 5]

**📝 Notable Points:**
- [additional point 1]
- [additional point 2]

**🔑 Takeaway:**
[Practical application or conclusion]

Aim for:

  • Main thesis: 1-2 sentences maximum
  • Key insights: 3-5 bullets, each 1-2 sentences
  • Notable points: 2-4 supporting details
  • Takeaway: Actionable conclusion

5. Save Full Transcript

Save the complete transcript to a timestamped file:

/root/clawd/transcripts/YYYY-MM-DD_VIDEO_ID.txt

Include in the file:

  • Video metadata header
  • Full transcript text
  • URL reference

6. Platform-Specific Delivery

If channel is Telegram:

message --action send --channel telegram --target CHAT_ID \
  --filePath /root/clawd/transcripts/YYYY-MM-DD_VIDEO_ID.txt \
  --caption "📄 YouTube Transcript: [title]"

If channel is other/webchat: Just reply with the summary (no file attachment).

7. Reply with Summary

Send the structured summary as your response to the user.

Error Handling

If transcript fetch fails:

  • Check if video has captions enabled
  • Try with lang: 'en' fallback if requested language unavailable
  • Inform user that transcript is not available and suggest alternatives:

- Manual YouTube transcript feature - Video may not have captions - Try a different video

If MCP server not installed:

  • Provide installation instructions
  • Offer to install it automatically if in appropriate context

If video ID extraction fails:

  • Ask user to provide the full YouTube URL or video ID

Examples

See examples/ directory for sample outputs.

Quality Guidelines

  • Be concise: Summary should be scannable in 30 seconds
  • Be accurate: Don't add information not in the transcript
  • Be structured: Use consistent formatting for easy reading
  • Be contextual: Adjust detail level based on video length

- Short videos (<5 min): Brief summary - Long videos (>30 min): More detailed breakdown

Notes

  • MCP server uses Android client emulation to bypass YouTube's cloud IP blocking
  • Works reliably from VPS/cloud environments where yt-dlp often fails
  • Supports multiple languages with automatic fallback to English
  • Transcript quality depends on YouTube's auto-generated captions or manual captions

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

moltbot

27.82%
按下载量换算19

mcpjam

26.96%
按下载量换算19

openhands

18.4%
按下载量换算13

windsurf

12.25%
按下载量换算9

zencoder

9.21%
按下载量换算6

crush

3.59%
按下载量换算3

安全审计

暂无安全审计结果可展示。

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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