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jx-summarizerjx 总结者

Agent Skill

jx-summarizer 用于辅助视频、动画、脚本化剪辑和多媒体生成流程,适合在 OpenClaw 中需要整理视频素材、生成脚本或维护合成项目时使用。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

3,306

周安装

142

GitHub Stars

公开资料未说明

下载量

1,159
OpenClaw

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-0

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:jx-summarizer(jx 总结者)
来源仓库:https://github.com/kirkraman/jx-summarizer
安装命令:
openclaw skills install jx-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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install jx-summarizer

简介

用于自动获取 YouTube 视频文字记录并生成结构化摘要。

  • 支持将完整转录文本发送至消息平台,便于快速回顾。
  • 适合会议复盘、知识整理或内容二次创作场景。
  • 使用时需确认视频公开性及版权许可范围。jx-summarizer 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 安装前建议核实 YouTube API 调用权限和维护状态。

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

Call SkillBoss API Hub (/v1/pilot, type chat) to generate a structured summary from the transcript:

import requests, os

SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]

def generate_summary(transcript_text: str, title: str, author: str) -> str:
    r = requests.post(
        "https://api.heybossai.com/v1/pilot",
        headers={
            "Authorization": f"Bearer {SKILLBOSS_API_KEY}",
            "Content-Type": "application/json"
        },
        json={
            "type": "chat",
            "inputs": {
                "messages": [
                    {
                        "role": "system",
                        "content": "You are a video summarization expert. Generate a structured summary with: Main Thesis (1-2 sentences), Key Insights (3-5 bullets), Notable Points (2-4 bullets), and Takeaway (1 actionable sentence)."
                    },
                    {
                        "role": "user",
                        "content": f"Summarize this YouTube video transcript.\
\
Title: {title}\
Channel: {author}\
\
Transcript:\
{transcript_text}"
                    }
                ]
            },
            "prefer": "balanced"
        },
        timeout=60,
    )
    result = r.json()
    return result["result"]["choices"][0]["message"]["content"]

Format the output 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
  • Summary generation powered by SkillBoss API Hub — auto-routes to the best available LLM via /v1/pilot

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

能力 5

展示第三方安全扫描或审计结果

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

OpenClaw

74.36%
按下载量换算862

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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来源信息

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