Agent skill · Media & Video

summarize

Produce a structured summary of a video, article, tweet thread, or PDF — TLDR, key points with timestamps/locations, notable quotes, and who should read/watch it. Use when the user asks to summarize a link or file, wants a TLDR, or asks "what does this video/article say" / "is this worth watching".

SerhiiKorniienkogithub.com/SerhiiKorniienkoGitHub ↗
claude-codeMIT
Install
npx skills add SerhiiKorniienko/bullshit-detector --skill summarize --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Path: skills/analysis/summarize/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 104
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# summarize Give someone the content without the runtime. ## Workflow 1. **Get the text.** If the input is a URL and the `fetch-content` skill is installed, use its script; otherwise use your web fetch tool or ask for a paste. Keep the metadata. 2. **Read fully**, then write: ```markdown # <title> **<author> · <platform> · <date> · <duration/length> · <views if notable>** **TLDR:** one paragraph,

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About this skill
What does the summarize skill do?

Produce a structured summary of a video, article, tweet thread, or PDF — TLDR, key points with timestamps/locations, notable quotes, and who should read/watch it. Use when the user asks to summarize a link or file, wants a TLDR, or asks "what does this video/article say" / "is this worth watching".

How do I install it?

Run `npx skills add SerhiiKorniienko/bullshit-detector --skill summarize --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From SerhiiKorniienko/bullshit-detector, a repository with 104 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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