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niittymaaniittymaa/multi-agent-ralph-loop/.claude/skills/ask-questions-if-underspecified/SKILL.md

ask-questions-if-underspecified

Skill0 starsChanged 10 months agoLicence not identifiedView on GitHub

15 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use llm-application-dev, audit-library-health and 10 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.
  • pepebot-spaceSkill

    llm-application-dev

    Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.

    Also in 4 projects that use this

  • MoizIbnYousafSkill

    audit-library-health

    Use when checking the overall health of a skills library. Run doctor, validate, check for stale skills, and verify generated docs are in sync.

    Also in 3 projects that use this

  • MoizIbnYousafSkill

    browse-and-evaluate

    Use when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing. Always use --fields to limit output size and --dry-run before committing to an install.

    Also in 3 projects that use this

  • pepebot-spaceSkill

    code-documentation

    Writing effective code documentation - API docs, README files, inline comments, and technical guides. Use for documenting codebases, APIs, or writing developer guides.

    Also in 4 projects that use this

  • +8 more from MoizIbnYousaf

The file

We split this skill into the rules it gives an agent

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

  • 0

    Common

    Most of the 15 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

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

The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 15 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.

Does it work?

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

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
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.

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