summarize

name: summarize description: "Summarize or extract text from URLs, articles, PDFs, and YouTube videos. Use when asked to summarize a link or transcribe a video." metadata: version: "1.0.0" requires: bins: ["curl"]

Summarize Skill

Techniques for summarizing content from various sources.

When to Use

Use this skill when the user asks:

• "What's this link/video about?"
• "Summarize this URL/article"
• "Extract text from this page"
• "Transcribe this YouTube video"

Web Pages

Using curl + text extraction

# Fetch and extract readable text
curl -s "https://example.com" | sed 's/<[^>]*>//g' | tr -s ' \n'

Using readability-cli (if available)

readable "https://example.com" --output text

PDFs

Using pdftotext (poppler)

pdftotext input.pdf - | head -500

Using Python

import PyPDF2
reader = PyPDF2.PdfReader("input.pdf")
for page in reader.pages:
    print(page.extract_text())

YouTube (best-effort)

Using yt-dlp for subtitles

# Download auto-generated subtitles
yt-dlp --write-auto-sub --sub-lang en --skip-download -o "/tmp/%(id)s" "https://youtu.be/VIDEO_ID"
cat /tmp/VIDEO_ID.en.vtt

Without yt-dlp

Use the YouTube transcript API or fetch the page and extract from JSON data.

Summarization Approach

1. Extract raw text from the source
2. If text is very long (>5000 words), chunk it into sections
3. Summarize each chunk, then create an overall summary
4. Return a structured summary with:
   • Title/Source
   • Key points (3-5 bullet points)
   • Detailed summary (if requested)

Tips

• For very long content, summarize first, then offer to expand on specific sections
• Always cite the source URL
• If the content is behind a paywall or login, inform the user