An advanced analysis engine for extracting transcripts, metadata, and intelligent insights from YouTube content.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install youtube-pro
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-pro 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 Pro (Miss Kim Edition)?
YouTube Pro is a high-performance toolset designed to give AI agents deep visibility into video content. By leveraging this addition to your Openclaw Skills, developers can automate the extraction of raw transcripts and metadata using specialized tools like summarize and web_fetch. This skill is particularly valuable for those needing to process large volumes of video data into actionable text without manual oversight.
Beyond simple text extraction, YouTube Pro integrates sophisticated analysis workflows. When you utilize this within your Openclaw Skills environment, it can trigger visual and audio processing through external utilities, providing a multi-modal understanding of any video. Whether you are building a research assistant or a content curation bot, this skill provides the necessary technical bridge to the YouTube platform.
YouTube Pro (Miss Kim Edition) Use Cases
- Rapidly summarizing long-form tutorials or webinars into five-line executive summaries.
- Extracting full transcripts for archival purposes or as training data for specialized models.
- Performing visual sentiment analysis by extracting specific frames for AI inspection.
- Automating the generation of timestamps and actionable suggestions based on video content.
How YouTube Pro (Miss Kim Edition) Works
- The agent receives a YouTube URL and initiates the summarize tool to fetch the raw transcript.
- Metadata and audience sentiment data are retrieved via web_fetch and integrated into the context.
- The skill processes the text through a high-performance LLM to identify core messages and takeaways.
- If requested, the system uses yt-dlp and ffmpeg to download specific segments or extract individual frames for visual analysis.
- The final output is structured with a core summary, timestamped links, and strategic recommendations.
YouTube Pro (Miss Kim Edition) Setup
To integrate this into your Openclaw Skills collection, ensure your environment has the required media processing tools installed:
# Install media extraction utilities
sudo apt update && sudo apt install ffmpeg
pip install yt-dlp
# Configure the skill in your agent profile
# Ensure the summarize and web_fetch tools are enabled
YouTube Pro (Miss Kim Edition) Data Schema & Taxonomy
The skill organizes extracted data into a structured format for easy consumption by other Openclaw Skills. Metadata and text are handled as follows:
| Data Type | Format | Description |
|---|---|---|
| Transcript | Plain Text | Full text extraction with optional auto-translation |
| Metadata | JSON Object | Title, Author, View Count, and Duration |
| Media Segments | MP3/MP4 | Specific clips extracted via yt-dlp |
| Visual Frames | PNG/JPG | Image files generated at specific timestamps for analysis |
YouTube Pro (Miss Kim Edition) Advanced Features
- Intelligent frame extraction for visual content auditing using ffmpeg.
- Multi-modal analysis support by combining transcripts with Gemini-based visual reasoning.
- Automated timestamp generation for direct navigation to key video moments.
- Customizable summary protocols including the Miss Kim Suggestion actionable feedback loop.
SKILL.md
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