A specialized tool for mining YouTube transcripts to identify and validate high-potential startup opportunities and business ideas.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install solo-you2idea-extract
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 solo-you2idea-extract 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 Idea Extractor?
The YouTube Idea Extractor is a comprehensive skill designed to transform video content into actionable business intelligence. By leveraging either the solograph MCP for indexed semantic search or standalone yt-dlp for direct transcript analysis, it allows developers and entrepreneurs to build a personal knowledge base of market signals.
This tool is part of the growing ecosystem of Openclaw Skills that prioritize developer efficiency and automated research. It can handle everything from single video analysis to full channel indexing, providing a structured way to capture and evaluate business concepts mentioned by industry experts, founders, and creators.
YouTube Idea Extractor Use Cases
- Identifying unmet market needs mentioned in founder interviews or industry podcasts.
- Indexing entire YouTube channels to track evolving business trends over time.
- Searching through a private corpus of indexed videos for specific keywords or problem statements.
- Generating structured markdown reports of startup ideas for later validation and scoring.
How YouTube Idea Extractor Works
- The user provides a YouTube URL, channel name, or search query as the primary argument.
- The skill detects the environment to choose between MCP-based indexing or standalone transcript extraction.
- If using solograph, the video is indexed into a local corpus for semantic search and topic tagging.
- In standalone mode, yt-dlp retrieves the auto-generated or manual subtitles and cleans the VTT formatting.
- The AI analyzes the processed text to identify problems, solutions, and market evidence.
- Insights are cross-referenced with a local knowledge base or web search to determine idea potential.
- A structured report is saved to the local directory for permanent record-keeping.
YouTube Idea Extractor Setup
To get started with this among your Openclaw Skills, ensure you have the necessary dependencies installed:
# For standalone transcript extraction
pip install yt-dlp
# For advanced indexing and semantic search (recommended)
pip install solograph
# Optional: Install yt-dlp via Homebrew on macOS
brew install yt-dlp
YouTube Idea Extractor Data Schema & Taxonomy
The skill saves all captured insights into a structured Markdown file located at docs/youtube-ideas.md. The data is organized into the following schema:
| Attribute | Description |
|---|---|
| Source | Video title, URL, and specific timestamp of the idea mention. |
| Problem | The specific pain point or market gap identified in the video. |
| Solution | The proposed product, service, or business model. |
| Market Signal | Evidence of demand or validation mentioned by the speaker. |
| Potential | A rating of High, Medium, or Low based on feasibility and market fit. |
YouTube Idea Extractor Advanced Features
- Multi-MCP coordination pattern allowing for seamless flow from YouTube sourcing to analysis and storage.
- Semantic search capabilities that allow users to query their entire indexed video library for specific concepts.
- Automatic channel batch indexing to process up to 10 videos at a time from a specific creator.
- Integrated trend flagging to identify ideas that match currently validated market patterns.
SKILL.md
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