agentleFS
blueinciteblueincite/claude-skills/smart-summary/SKILL.md

smart-summary

Skill0 starsChanged 6 months agoNo licenceView on GitHub

Produces structured document extracts that solve Relevance Mismatch — the problem where AI filters by structural importance and silently drops the footnote, caveat, or data point that matters *to you*. Trigger whenever the user uploads or pastes a PDF, report, paper, or long document and asks for a summary, overview, key takeaways, or 'what's in this'. Also trigger when the user asks for help reading something that informs a decision, position, or action. Also triggers on German phrases: fass das zusammen, was steht da drin, gib mir die wichtigsten Punkte, Zusammenfassung, Dokument zusammenfassen, was ist das Fazit, was sind die Kernaussagen, hilf mir das zu lesen. Always respond in the same language the user is writing in. Always use this skill for document summarization — even short requests like 'what's in this report' or 'summarize this paper'.

1 other project uses a version of this.

Adopted by

Most recently taken up by

  • Other versions1 project uses a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 1

    1. yuque/yuque-ecosystem★ 228same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository10 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

8 rules. About 0 are common, 8 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈8

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

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

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

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  • It worked
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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.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.