Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/michalparkola-learn-this
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, writing
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/learn-this
Tools it pre-approves 1
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Bash,Read,Write
What's inside
- Skill name
learn-this- Description
- Unified content extraction and action planning. Use when user says "learn-this <URL>", "learn this <URL>", "weave <URL>", "help me plan <URL>", "extract and plan <URL>", "make this actionable <URL>", or similar phrases indicating they want to extract content and create an action plan. Automatically detects content type (YouTube video, article, PDF) and processes accordingly.
- License
- MIT
- Allowed tools
- Bash,Read,Write
- Instructions
- 478 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves some shell commands
- Instructions call the network
Files (1)
- SKILL.md
SKILL.md (first lines)
# Tapestry: Unified Content Extraction + Action Planning
This is the **master skill** that orchestrates the entire Tapestry workflow:
1. Detect content type from URL
2. Extract content using appropriate skill
3. Automatically create a Ship-Learn-Next action plan
## When to Use This Skill
Activate when the user:
- Says "learn-this [URL]" or "learn this [URL]"
- Says "weave [URL]"
- Says "help me plan [URL]"
- Says "extract and plan [URL]"
- Says "make this actionable [URL]"
- Says "turn [URL] into a plan"
- Provides a URL and asks to "learn and implement from this"
- Wants the full Tapestry workflow (extract → plan)
**Keywords to watch for**: learn-this, learn this, weave, plan, actionable, extract and plan, make a plan, turn into action
## How It Works
### Complete Workflow:
1. **Detect URL type** (YouTube, article, PDF)
2. **Extract content** using appropriate skill:
- YouTube → youtube-transcript skill
- Article → article-extractor skill
- PDF → download and extract text
3. **Create action plan** using ship-learn-next skill
4. **Save both** content file and plan file
5. **Present summary** to user
## URL Detection Logic
### YouTube Videos
**Patterns to detect:**
- `youtube.com/watch?v=`
- `youtu.be/`
- `youtube.com/shorts/`
- `m.youtube.com/watch?v=`
**Action:** Use youtube-transcript skill
### Web Articles/Blog Posts
**Patterns to detect:**
- `http://` or `https://`
- NOT YouTube, NOT PDF
- Common domains: medium.com, substack.com, dev.to, etc.
- Any HTML page
**Action:** Use article-extractor skill
### PDF Documents
**Patterns to detect:**
- URL ends with `.pdf`
- URL returns `Content-Type: application/pdf`
**Action:** Download and extract text
### Other Content
**Fallback:**
- Try article-extractor (works for most HTML)
- If fails, inform user of unsupported type
## Step-by-Step Workflow
### Step 1: Detect Content Type
```bash
URL="$1"
# Check for YouTube
if [[ "$URL" =~ youtube\.com/watch || "$URL" =~ youtu\.be/ || "$URL" =~ youtube\.com/shorts ]]; then
CONTENT_TYPE="youtube"
# Check for PDF
elif [[ "$URL" =~ \.pdf$ ]]; then
CONTENT_TYPE="pdf"
# Check if URL returns PDF
elif curl -sI "$URL" | grep -i "Content-Type: application/pdf" > /dev/null; then
CONTENT_TYPE="pdf"
# Default to article
else
CONTENT_TYPE="article"
fi
echo "📍 Detected: $CONTENT_TYPE"
```
### Step 2: Extract Content (by Type)
#### YouTube Video
```bash
# Use youtube-transcript skill workflow
echo "📺 Extracting YouTube transcript..."
# 1. Check for yt-dlp
if ! command -v yt-dlp &> /dev/null; then
echo "Installing yt-dlp..."
brew install yt-dlp
fi
# 2. Get video title
VIDEO_TITLE=$(yt-dlp --print "%(title)s" "$URL" | tr '/' '_' | tr ':' '-' | tr '?' '' | tr '"' '')
# 3. Download transcript
yt-dlp --write-auto-sub --skip-download --sub-langs en --output "temp_transcript" "$URL"
# 4. Convert to clean text (deduplicate)
python3 -c "
import sys, reFrom michalparkola/tapestry-skills, MIT.
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Signals
- Stars
- 562
- Forks
- 67
- Open issues
- 1
- Last commit (this folder)
- Mar 5, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/michalparkola/tapestry-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Summarize the current conversation session and append results to the weekly agent-log.
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Download YouTube video transcripts when user provides a YouTube URL or asks to download/get/fetch a transcript from YouTube.
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Cite this page
learn-this skill. Agent Mart. https://agentmart.dev/skills/michalparkola-learn-this (last updated 2026-10-24)