What content types does Tapestry support?

Tapestry automatically detects and processes YouTube videos (transcripts), web articles/blog posts, and PDF documents via direct URLs.

How does the Ship-Learn-Next workflow work?

After extracting content, Tapestry analyzes the material to create a progressive plan consisting of 'Reps'—iterative cycles designed to help you build and learn simultaneously.

Do I need to install external tools for this skill?

Tapestry works best with tools like yt-dlp for video and trafilatura for articles. It can help you install these via package managers or use built-in fallbacks if they are missing.

Can I customize the action plan generated?

Absolutely. The plan is saved as a standard Markdown file, allowing you to modify the goals, timelines, and specific tasks to fit your project's needs.

Tapestry Content & Planning

Name: Tapestry Content & Planning
Author: kivilaid

bykivilaid

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Productividad y Flujo de Trabajo

Automates the extraction of information from URLs and transforms it into structured, actionable project plans.

Acerca de

Tapestry serves as a master orchestrator for Claude Code, bridging the gap between passive consumption and active implementation. By analyzing URLs—including YouTube videos, web articles, and PDF documents—it automatically extracts core content and synthesizes it into a 'Ship-Learn-Next' action plan. This skill streamlines the research-to-execution workflow by handling URL detection, transcript downloading, article cleaning, and the creation of a progressive 5-step implementation roadmap, ensuring that insights from the web are immediately turned into tangible project goals.

Características Principales

Automatic URL detection for YouTube, PDFs, and web articles
Automatic generation of structured 'Ship-Learn-Next' action plans
6 GitHub stars
High-fidelity content extraction and cleaning using specialized tools
Multi-format support including transcripts, markdown, and plain text
Seamless integration with developer utilities like yt-dlp and trafilatura

Casos de Uso

Converting a blog post or technical article into a structured implementation roadmap
Turning a technical YouTube tutorial into a 5-rep coding project
Extracting actionable insights from a research paper or PDF documentation

Acerca de

Características Principales

Automatic URL detection for YouTube, PDFs, and web articles
Automatic generation of structured 'Ship-Learn-Next' action plans
6 GitHub stars
High-fidelity content extraction and cleaning using specialized tools
Multi-format support including transcripts, markdown, and plain text
Seamless integration with developer utilities like yt-dlp and trafilatura

Casos de Uso

Converting a blog post or technical article into a structured implementation roadmap
Turning a technical YouTube tutorial into a 5-rep coding project
Extracting actionable insights from a research paper or PDF documentation