ask-questions-if-underspecified
Skill0 starsChanged 3 months agoNo licenceView on GitHub
Clarify requirements before implementing. Use when serious doubts arise.
We split this skill into the rules it gives an agent
13 rules. 11 are common, 2 are distinctive, and 0 are very specific to this project.
11
Common
Most of the 11 edited versions we read keep these.
2
Distinctive
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 measured: kept by at least 6 in 10 of the 11 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.
Other versions14 projects use a version of this.
Word for word · 3
- davidanthonyn/claude-skills★ 0100% same
- TheWatcher01/skills★ 0100% same
- uts58/my-random-skills★ 0100% same
Edited · 9
- MoizIbnYousaf/Ai-Agent-Skills★ 1.1k95% same
- skillcreatorai/Ai-Agent-Skills★ 1.1k95% same
- MoizIbnYousaf/ai-agent-skills★ 1.1k95% same
- mzbac/skills★ 2797% same
- ParkerRex/Skills★ 297% same
- pepebot-space/skills★ 295% same
- shreyas-makes/agent-skills★ 297% same
- allanninal/claude-code-skills★ 199% same
- Samueladewole/claude-skills★ 099% same
Wrote their own version · 2
- charliehzm/medharness★ 85same name
- niittymaa/multi-agent-ralph-loop★ 0same 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.
Used alongsideProjects 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-spaceSkillllm-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
MoizIbnYousafSkillaudit-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
MoizIbnYousafSkillbrowse-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-spaceSkillcode-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
In this repository21 other files it gives its agents.
- accessibility-skillSkill
- ast-code-graphSkill
- cicd-pipeline-skillSkill
- cypress-skillSkill
- fastapi-api-developmentSkill
- find-skillsSkill
- frontend-api-integrationSkill
- hyperexecute-skillSkill
- jest-skillSkill
- playwright-skillSkill
- pytest-skillSkill
- selenium-skillSkill
- self-reflectionSkill
- skill-creatorSkill
- smartui-skillSkill
- structural-refactorSkill
- systematic-debuggingSkill
- test-framework-migration-skillSkill
- unittest-skillSkill
- vitest-skillSkill
- webdriverio-skillSkill
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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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
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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.

