Where are the extracted files saved?

Tapestry saves the extracted text in a .txt file and the generated action plan in a Markdown (.md) file within your current working directory.

How does the 'Ship-Learn-Next' plan work?

It creates a progressive 4-8 week quest that breaks down learning into 'Reps.' Rep 1 is designed to be shippable within the first week, followed by iterative improvements.

What content types can Tapestry process?

Tapestry automatically detects and processes YouTube videos (including transcripts), web articles, blog posts, and PDF documents.

Can I use Tapestry for planning without a URL?

Tapestry is specifically optimized for URL-based workflows ('tapestry '), but you can use its sub-skill 'ship-learn-next' for general planning from local files.

What external tools does this skill require?

The skill utilizes tools like yt-dlp for YouTube, reader or trafilatura for articles, and pdftotext for PDFs. It attempts to auto-install these or provides fallbacks.

Tapestry Content & Action Planner

Name: Tapestry Content & Action Planner
Author: prof-ramos

byprof-ramos

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Productivity & Workflow

Extracts content from URLs and automatically generates actionable Ship-Learn-Next implementation plans.

About

Tapestry is a comprehensive orchestration skill for Claude Code designed to turn information into action. By simply providing a URL, the skill automatically detects the content source—whether it's a YouTube video, a technical article, or a PDF document—and extracts the core text. It then seamlessly transitions into the Ship-Learn-Next workflow, creating a structured 4-8 week project plan with progressive milestones. This skill is perfect for developers who want to move beyond passive learning and immediately start building based on tutorials, documentation, or research papers.

Key Features

Smart tool fallback for web scraping and PDF processing
1 GitHub stars
Persistent file storage for both extracted content and markdown plans
Automatic content detection for YouTube, Articles, and PDFs
Automated creation of Ship-Learn-Next action plans
High-quality content extraction and YouTube transcript deduplication

Use Cases

Converting a coding tutorial video into a multi-week implementation project
Transforming a complex research PDF into a series of actionable developer tasks
Extracting key lessons from technical blog posts to build a concrete learning roadmap

About

Key Features

Smart tool fallback for web scraping and PDF processing
1 GitHub stars
Persistent file storage for both extracted content and markdown plans
Automatic content detection for YouTube, Articles, and PDFs
Automated creation of Ship-Learn-Next action plans
High-quality content extraction and YouTube transcript deduplication

Use Cases

Converting a coding tutorial video into a multi-week implementation project
Transforming a complex research PDF into a series of actionable developer tasks
Extracting key lessons from technical blog posts to build a concrete learning roadmap