A powerful tool that searches YouTube for relevant videos and generates detailed textual summaries by analyzing video subtitles.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tube-summary
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 tube-summary 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 Tube Summary?
Tube Summary is a specialized utility designed to streamline how developers and researchers consume video content. By leveraging the Openclaw Skills framework, this tool automates the process of finding videos on any given topic and extracting their core message through subtitle analysis. This allows users to bypass manual watching and instead receive structured insights, including key topics and notable timestamps, directly within their workflow.
This skill is particularly valuable for those who need to digest high volumes of educational or technical content quickly. By integrating with the broader ecosystem of Openclaw Skills, Tube Summary provides a bridge between video-based information and text-based analysis, making it an essential component for automated research and content discovery.
Tube Summary Use Cases
- Rapidly researching new programming languages or frameworks by summarizing top tutorial videos.
- Previewing long-form technical presentations to identify relevant segments before watching.
- Extracting important quotes and timestamps from keynote speeches for documentation.
- Automating the gathering of insights from multiple YouTube search results via Openclaw Skills.
How Tube Summary Works
- The user provides a search query which the skill uses to fetch the top 10 results from YouTube.
- Once the user selects a video from the list, the skill identifies the specific video URL.
- It uses the yt-dlp utility to fetch and download the English subtitle file in VTT format without downloading the actual video.
- A specialized Python script processes the raw subtitle data to distill the most important information.
- The skill generates a structured output featuring a concise summary, key topics, and direct quotes with timestamps.
Tube Summary Setup
To get started with this skill in your Openclaw Skills environment, ensure you have the necessary prerequisites installed:
pip install yt-dlp requests
You must also have Python 3.7+ installed and access to the following local scripts in your environment:
scripts/youtube-search.pyscripts/process-subtitles.py
Tube Summary Data Schema & Taxonomy
The skill manages data across several stages of the workflow as shown below:
| Data Point | Format | Description |
|---|---|---|
| Search Result | List Object | Contains Title, Channel, and View Count for the top 10 videos. |
| Subtitles | .en.vtt | Temporary subtitle file extracted via yt-dlp. |
| Summary Output | Markdown | A structured report containing Key Topics, a 2-3 paragraph Summary, Timestamps, and Key Quotes. |
Tube Summary Advanced Features
- Automatic fallback to web scraping if the primary YouTube search API is unavailable.
- Intelligent handling of both manually authored and auto-generated subtitles.
- Seamless integration into multi-agent workflows using Openclaw Skills for complex research tasks.
- No-download subtitle extraction to save bandwidth and storage space.
SKILL.md
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