summarize

name	summarize
description	Scrape a URL and produce a concise summary — key points, takeaways, who/what/why. Triggers: "summarize url" | "tldr" | "summarize this" | "summarize https://" | "/summarize" | "give me a summary of" | "what's this article about" | "summarize this link" | "what does this page say".

Summarize

Scrape URL → concise, actionable summary.

Entry

/summarize https://example.com

¬U → ask user to get one.

Step 1 — Locate Plugin

PLUGIN_ROOT=$(find ~/projects -maxdepth 4 -path "*/web-intel/pyproject.toml" -print -quit 2>/dev/null | xargs dirname)
if [ -z "$PLUGIN_ROOT" ]; then
  echo "ERROR: web-intel plugin not found. Install: claude plugin install web-intel"
  exit 1
fi

First Use

First invocation in session only:

cd "$PLUGIN_ROOT" && uv run python scripts/doctor.py

• exit 1 → show output, stop, guide install. Optional warnings → inform user, continue.
• Skip on subsequent invocations.

Step 2 — Scrape

cd "$PLUGIN_ROOT" && SSL_CERT_FILE=/etc/ssl/certs/ca-certificates.crt REQUESTS_CA_BUNDLE=/etc/ssl/certs/ca-certificates.crt uv run python scripts/scraper.py "$URL"

Step 3 — Analyze & Summarize

Produce:

1. TL;DR (1-2 sentences) — core message
2. Key Points (3-5 bullets) — main ideas, importance-ordered
3. Who — author/org + credibility/context
4. What — subject matter
5. Why it matters — relevance, implications, so-what
6. Takeaways (2-3 bullets) — actionable insights

Platform-specific enrichment:

Platform	Extra fields
Twitter/X	Engagement metrics (likes, RTs), thread context
GitHub	Stars, language, key README features
YouTube	Duration, key timestamps (∃ transcript)
Reddit	Score, top comment highlights, community sentiment

Step 4 — Present

Output in clean markdown. Include source URL + scrape date. success: false → fall back to WebFetch, summarize from that.

$ARGUMENTS