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summarize · serhiikorniienko — Claude Code skill: what it does, how to install

Turns a video, article, thread, or PDF into a structured summary with key points, location markers, quotes, and guidance on who should read or watch the full source.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add SerhiiKorniienko/bullshit-detector --skill summarize -a claude-code
Open on GitHub

What summarize does

The skill retrieves text from a link or file, reads it through, then builds a summary with a central takeaway, key points linked to timestamps or page numbers, notable quotes, and a note on who benefits from the full source. If fetch-content is installed, it uses that skill’s script for URLs; otherwise the agent can use a web-fetch tool or ask you to paste the text.

The length follows the source: a short thread gets a few lines, while a long podcast calls for a fuller account. It retains every item in a list-shaped source and carries over names, figures, and claims without rounding. If the agent cannot retrieve the linked text, it will need you to provide it.

What it helps with

  • condense a video into points with timestamps
  • pull an article’s main claims and notable quotes
  • summarize a PDF with page references
  • decide who needs the full version

Example prompts for the agent

  • Summarize this video: [link]
  • Summarize report.pdf with its main point and page references
  • Give me the key points from this thread and say who should read the full version

How to install summarize

1Skills CLI (Vercel)

npx skills add SerhiiKorniienko/bullshit-detector --skill summarize -a claude-code

2Manually: put the files in place

~/.claude/skills/summarize/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/summarize/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about summarize

How do I install summarize in Claude Code?

Run npx skills add SerhiiKorniienko/bullshit-detector --skill summarize -a claude-code. The skill file is at ~/.claude/skills/summarize/SKILL.md.

What does summarize do?

It creates a structured account of a video, article, thread, or PDF, with a central takeaway, linked key points, quotes, and guidance on who should read or watch the original.

How does summarize retrieve text from a URL?

When fetch-content is installed, the skill uses its script. Otherwise, the agent can use a web-fetch tool or ask you to paste the text.

Source text

SKILL.md · MIT
---
name: summarize
description: 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".
---

# 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, ≤3 sentences — the actual thesis, not the topic.

## Key points
Bulleted. Each point = one idea, with [timestamp] or [p.N] so the
reader can jump to it. Preserve the content's own structure (if it
promises "14 ways", list all 14 — compressed, not truncated).

## Notable quotes
1–3 verbatim quotes that carry the content's voice, with locations.

## Worth your time?
One honest sentence per audience: who gains from the full version,
who is fine with this summary.
```

## Rules

- Summarize what the content says, not what you think of it (that's the `bullshit-detector` skill — mention it if the content smells hyped, don't perform its job here).
- Numbers, names, and claims must come from the content verbatim — no rounding, no "improving".
- If the content is listicle-shaped, the summary must contain the complete list. Never "...and 9 more ways".
- Scale length to source: a tweet gets 3 lines, a 3-hour podcast gets a full page.

© SerhiiKorniienko · MIT · SerhiiKorniienko/bullshit-detector

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