agentleFS
Sign inStart free
minhtran3124minhtran3124/cursor-skills/skills/preflight/SKILL.md

preflight

Skill1 starsChanged 7 months agoNo licenceView on GitHub

Research-first feature discovery check. Before any implementation, answer five critical questions: What is this repo? What exists locally? What does the ecosystem support? What do official docs recommend? What is the lightest credible path? Use this skill when the user asks to add a feature, build something new, or wants to know the best approach — trigger with /preflight or when someone says "how should I build X", "what's the best way to implement Y", or "I need to add Z to this project".

We split this skill into the rules it gives an agent

28 rules. 0 are common, 27 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 39 edited versions we read keep these.

  • 27

    Distinctive

    This author's own choices. Worth a look.

  • 1

    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 39 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 versions43 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 43

    1. webiny/webiny-js★ 8ksame name
    2. CrowdDotDev/crowd.dev★ 3.4ksame name
    3. tphakala/birdnet-go★ 2.3ksame name
    4. openfootmanager/openfootmanager★ 1.2ksame name
    5. mohebifar/tooscut★ 716same name
    6. linuxfoundation/insights★ 283same name
    7. unlearndev/skills★ 101same name
    8. ogulcancelik/agent-skills★ 81same name
    9. vanillagreencom/kendex★ 76same name
    10. nitinjain999/platform-skills★ 71same name

    33 more not listed

    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 adr, ship and 8 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.
    • asterkinSkill

      adr

      Create Architecture Decision Records (ADRs) following project standards. Guides template usage, process, and best practices for documenting architecturally significant decisions.

      Also in 3 projects that use this

    • AWSSkill

      ship

      Finalize dev work on an issue branch — update docs, push, and open a PR.

      Also in 6 projects that use this

    • Google CloudSkill

      triage

      Gather context on a change or bug and plan the implementation.

      Also in 4 projects that use this

    • DockerSkill

      review-pr

      Review one or more incoming Docker documentation pull requests as a maintainer. Independently validate technical claims, assess editorial fit and information architecture, choose a verdict, and draft exact inline or PR-wide feedback behind a confirmation gate. Use for requests such as "review PR 123", "is this PR correct?", "does this information belong here?", "validate this PR", or "help review backlog PRs". Do not use to maintain or fix a PR you own; use maintain-pr for that.

      Also in 3 projects that use this

    • AWSSkill

      retro

      Conduct a retrospective on a coding session.

      Also in 3 projects that use this

    • MicrosoftSkill

      caveman

      Ultra-compressed response style that reduces output token count while preserving technical accuracy, with intensity levels and auto-clarity safety rules

      Also in 3 projects that use this

  • In this repository9 other files it gives its agents.

Does it work?

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

Reviews can't be read right now.

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.

Check your setup, free