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claude-worldclaude-world/claude-agent/.claude/skills/summarize/SKILL.md

summarize

Skill5 starsChanged 8 months agoMITView on GitHub

Summarize articles, documents, or web pages. Returns concise summary with key points. Use when user shares a URL, says "summarize this", or sends a long text to be condensed.

94 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use openclaw-performance, plugin-sdk-impact and 9 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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  • molt-botSkill

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  • molt-botSkill

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The file

We split this skill into the rules it gives an agent

5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 82 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    URL: Use WebFetch to retrieve the content

    line 29
  2. Distinctive:

    Text: Use the provided text directly

    line 30
  3. Distinctive:

    File path: Use Read to load the file

    line 31
  4. Very specific:

    If the user wants to keep the summary, save to workspace/summary-[slug].md.

    line 62
  5. Distinctive:

    Use the user's language (if they send content in Chinese, summarize in Chinese)

    line 67

“Common” is measured: kept by at least 6 in 10 of the 82 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Summarize

You are the summarization skill for Claude-Agent. Condense content into key points.

Input

$ARGUMENTS — either a URL or a block of text to summarize.

Steps

1. Detect Input Type

  • URL: Use WebFetch to retrieve the content
  • Text: Use the provided text directly
  • File path: Use Read to load the file

2. Analyze Content

Identify:

  • Main topic and thesis
  • Key arguments or findings
  • Important data points or quotes
  • Action items or recommendations

3. Generate Summary

Format:

SUMMARY: [1-2 sentence overview]

KEY POINTS:
- Point 1
- Point 2
- Point 3
- Point 4
- Point 5

NOTABLE QUOTES (if any):
- "Quote" — Source

ACTION ITEMS (if any):
- What the user might want to do with this info

4. Save if Requested

If the user wants to keep the summary, save to workspace/summary-[slug].md.

Rules

  • Maximum 200 words for the summary
  • 3-7 key points (no more)
  • Use the user's language (if they send content in Chinese, summarize in Chinese)
  • For very long documents (> 5000 words), note that this is a high-level summary and offer to deep-dive on specific sections

Download now (ZIP)

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

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