What URL types does Tapestry support?

Tapestry supports YouTube videos (including Shorts), standard web articles/blog posts, and PDF documents.

Can I use custom phrases to trigger the skill?

Yes, Tapestry responds to various natural language commands including 'weave', 'help me plan', 'make this actionable', and 'extract and plan'.

Do I need to manually install extraction tools?

Tapestry attempts to auto-install required dependencies like yt-dlp, trafilatura, or reader using Homebrew or Pip when they are missing.

What is a Ship-Learn-Next plan?

It is a specialized methodology that converts content into a defined 'Quest' with a series of 'Reps' (iterations), focusing on shipping a version 1 within the first week.

Where are the results of the Tapestry workflow saved?

The skill saves the extracted text content as a .txt file and the structured action plan as a .md file directly in your current working directory.

Tapestry Content Planner

Name: Tapestry Content Planner
Author: kivilaid

bykivilaid

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Productivity & Workflow

Automates the extraction of content from URLs and transforms it into actionable Ship-Learn-Next development plans.

About

Tapestry is a comprehensive workflow skill designed to bridge the gap between consuming information and taking action. It intelligently detects content types from YouTube videos, web articles, or PDF documents, extracts the core information using specialized tools, and automatically generates a structured Ship-Learn-Next action plan. This skill is ideal for developers and learners who want to immediately turn educational resources into tangible project milestones and iterative learning loops within their local development environment.

Key Features

High-fidelity content extraction and transcript deduplication
Integrated Ship-Learn-Next action plan generation
6 GitHub stars
Automated dependency management and tool installation
Automatic URL detection for YouTube, PDFs, and web articles
Local file persistence for both raw content and formatted plans

Use Cases

Converting a technical YouTube tutorial into a multi-week implementation roadmap
Extracting insights from a research PDF to create a structured experimental prototype
Turning long-form blog posts into actionable project quests with defined iterations

About

Key Features

High-fidelity content extraction and transcript deduplication
Integrated Ship-Learn-Next action plan generation
6 GitHub stars
Automated dependency management and tool installation
Automatic URL detection for YouTube, PDFs, and web articles
Local file persistence for both raw content and formatted plans

Use Cases

Converting a technical YouTube tutorial into a multi-week implementation roadmap
Extracting insights from a research PDF to create a structured experimental prototype
Turning long-form blog posts into actionable project quests with defined iterations