An AI-powered summarization and synthesis skill designed to help users extract key concepts, write structured summaries, and distill insights from educational video content.
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npx clawhub@latest install ai-summary-b037a3
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~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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The AI Summary Assistant is an advanced integration designed for Openclaw Skills to simplify the process of understanding complex materials, particularly educational video content. Inspired by educational techniques from creators like iKen Edu and high-quality Bilibili video summaries (ranging from complex Physics-Informed Machine Learning to narrative recaps and morphology lectures), this skill automates the extraction of core concepts. It acts as a personal learning accelerator that processes user references and outputs polished summaries.\n\nBy leveraging this skill, developers, researchers, and students can synthesize multi-source information into structured, actionable notes. The skill leverages automated merging to integrate disparate notes and summary guides, facilitating quick, iterative learning cycles that transform long-form content into dense, high-retention takeaways.
To set up and run this integration within your Openclaw Skills ecosystem, configure the workspace and invoke the module:\n\nbash\n# Install the Openclaw developer kit if you have not already done so\nnpm install -g @openclaw/cli\n\n# Clone or register the skill inside your workspace configuration\nopenclaw skill install ai-summary-b037a3\n\n# Run the skill locally to test video trigger mapping\nopenclaw run ai-summary-b037a3 --trigger 'ai-summary'\n
| Field / Resource | Type | Description |\n| :--- | :--- | :--- |\n| name | String | Unique identifier of the summary instance (e.g., ai-summary-b037a3) |\n| trigger | String | User query intent triggers (ai-summary, Summary, Writing, Learn) |\n| compatibility | String | Target agent platform, currently configured for opencode |\n| tags | Array | Categorization labels (e.g., tool, ai-summary, video-learned) |\n| reference_sources | List | Curated learning sources containing video links, author meta, and timetags |
ai-summary-b037a3 and sibling inputs automatically).\n- Cross-Platform URL Parsing: Built-in support for mapping metadata and structures directly from Bilibili, YouTube, and Douyin learning feeds.\n- Iterative Study Loop: Adapts summaries based on subsequent review sessions, preserving high-retention keywords and core concept mappings over time.Loading
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