Automatically fetch YouTube transcripts, generate structured summaries, and deliver them to messaging platforms.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install youtube-summarizer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install youtube-summarizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is YouTube Summarizer Skill?
The YouTube Summarizer is a robust tool designed for the Openclaw Skills ecosystem to bridge the gap between video content and actionable text. It automates the extraction of transcripts from any YouTube URL, including Shorts and standard videos, and processes them into high-quality, structured summaries. This tool is essential for users who need to digest long-form video content quickly without watching the entire duration.
By leveraging specialized MCP servers, this skill bypasses common cloud IP blocking issues, ensuring reliable data retrieval even in VPS environments. Whether you are conducting research, staying updated on industry trends, or managing a content pipeline, incorporating this into your Openclaw Skills setup streamlines your workflow by providing instant metadata and key insights directly in your preferred workspace.
YouTube Summarizer Skill Use Cases
- Analyzing long educational videos or tutorials to extract the core thesis and actionable takeaways.
- Automatically archiving video transcripts for research purposes or personal knowledge management.
- Sending summarized video insights and full transcripts directly to Telegram channels for team collaboration.
- Quickly scanning YouTube Shorts or trending videos to stay informed with minimal time investment.
- Retrieving metadata like view counts and publication dates alongside video content for data-driven analysis within Openclaw Skills.
How YouTube Summarizer Skill Works
- URL Detection: The agent identifies a YouTube link or a direct video ID from user input.
- Transcript Extraction: A dedicated MCP server fetches the transcript segments and video metadata using Android client emulation.
- Data Processing: The skill parses the raw JSON output to extract titles, authors, and the full transcript text.
- Summary Generation: Using a pre-defined template, the agent creates a structured summary including main thesis, key insights, and notable points.
- File Storage: The full transcript is saved to a timestamped text file for future reference and archival.
- Multi-Platform Delivery: If configured, the agent sends the transcript and summary to Telegram or displays it directly in the web chat.
YouTube Summarizer Skill Setup
To use this within your Openclaw Skills environment, ensure you have the MCP YouTube Transcript server installed.
# Navigate to the clawd directory
cd /root/clawd
# Clone the required MCP server
git clone https://github.com/kimtaeyoon83/mcp-server-youtube-transcript.git
# Install dependencies and build
cd mcp-server-youtube-transcript
npm install && npm run build
Once installed, the agent will utilize the server to process YouTube URLs automatically.
YouTube Summarizer Skill Data Schema & Taxonomy
The skill organizes fetched data into a structured JSON format and archives transcripts as plain text files for easy indexing.
| Data Component | Description | Storage Format |
|---|---|---|
| Metadata | Title, Author, View Count, Date | JSON Object |
| Transcript | Segmented lines with timestamps | JSON Array |
| Archived Files | Full transcript text with metadata header | .txt (YYYY-MM-DD_ID) |
| Messaging Payload | Summarized insights for chat delivery | Markdown |
YouTube Summarizer Skill Advanced Features
- Advanced IP Bypass: Uses Android client emulation to avoid YouTube's blocking mechanisms for cloud-based Openclaw Skills.
- Multi-Language Support: Automatically attempts to fetch transcripts in the requested language with a fallback to English.
- Telegram Integration: Built-in support for automated file delivery and captioning via the messaging tool.
- Context-Aware Summarization: Adjusts the depth of the summary based on video length, ensuring brevity for shorts and depth for long-form content.
- Structured Output Template: Delivers consistent formatting for thesis, insights, and takeaways across all summarized content.
SKILL.md
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