Tapestry Skills for Claude Code enables users to download and extract content from articles, PDFs, and YouTube video transcripts. Operations teams benefit by automating content extraction and integration into workflows. Connects to Claude Code for streamlined content processing and implementation.
git clone https://github.com/michalparkola/tapestry-skills-for-claude-code.gitTapestry Skills for Claude Code is a collection of productivity skills that automate content extraction and transform learning into actionable implementation plans. The skills detect content type—YouTube videos, web articles, or PDFs—and extract clean, readable text automatically. A unified 'Learn This' command orchestrates the entire workflow: extract content, then generate a 5-rep action plan using the Ship-Learn-Next framework. Operations teams, developers, and knowledge workers benefit by automating repetitive content processing and integrating extracted insights directly into their Claude Code workflows and project documentation.
["1. **Identify Content Source**: Determine the URL or file path of the article, PDF, or YouTube video you want to extract content from.","2. **Use the Prompt Template**: Copy the prompt template and replace [ARTICLE_URL] with the actual URL or file path.","3. **Run the Prompt in Claude Code**: Paste the customized prompt into Claude Code and execute it to extract and summarize the content.","4. **Review and Refine**: Check the output for accuracy and refine the prompt if necessary to get more specific or detailed results.","5. **Integrate into Workflows**: Use the extracted insights to update your operations manuals, training materials, or process documentation."]
Download and deduplicate YouTube video transcripts for tutorials and talks
Extract clean article text from web posts and blog content without ads or clutter
Transform passive learning content into 5-step implementation action plans
Turn vague or overwhelming tasks into concrete next actions in under 2 minutes
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/michalparkola/tapestry-skills-for-claude-codeCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Extract the main points from this article: [ARTICLE_URL]. Summarize the key takeaways in bullet points. Then, identify 3 actionable insights that operations teams can implement based on the content. Format the output as a markdown list.
Here are the main points from the article on 'Streamlining Supply Chain Operations': - **Key Takeaways**: - Implementing AI-driven inventory management can reduce stockouts by up to 30%. - Automated demand forecasting improves accuracy by 25%. - Real-time data integration enhances decision-making speed. - **Actionable Insights**: 1. **Adopt AI Tools**: Integrate AI-driven inventory management systems like [InventoryAI] to optimize stock levels. 2. **Enhance Forecasting**: Use automated demand forecasting tools such as [DemandSense] to improve accuracy. 3. **Real-Time Data**: Implement real-time data integration platforms like [DataFlow] to streamline decision-making processes.
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