agentleFS
jqaisystemsjqaisystems/jqai-ai-skills/skills/skill-builder/SKILL.md

skill-builder

Skill3 starsChanged 6 months agoMITView on GitHub

Turn a repeated workflow into a portable skill with precise triggers, useful resources, safe storage, and verified discovery. Use when creating a skill or preparing a shared skill library, not for silently replacing existing installations.

74 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use contract-test, literature-research 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.
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    Also in 3 projects that use this

  • nickjwellsSkill

    literature-research

    Search academic literature and perform deep research reviews. Use when user asks to search PubMed, find academic papers, or do literature reviews.

    Also in 3 projects that use this

  • nopandererSkill

    commit-and-push

    Automatically analyze git changes, generate Conventional Commits compliant commit messages, commit changes, and push to remote in a single automated workflow. Use when the user invokes /commit-and-push or explicitly requests to automatically commit and push changes following Conventional Commits format (feat:, fix:, docs:, etc.). This skill provides a fully automated git workflow without manual intervention.

    Also in 3 projects that use this

  • SkillPilotCHSkill

    level-up

    Eine Automatisierung pro Woche finden, scopen, shippen. Output landet als proposed-Eintrag in cadence.md mit konkreten Implementations-Schritten.

    Also in 3 projects that use this

  • MicrosoftSkill

    excalidraw-diagram

    Create Excalidraw diagram JSON files that make visual arguments. Use when the user wants to visualize workflows, architectures, or concepts.

    Also in 4 projects that use this

  • SentrySkill

    onboard

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The file

We split this skill into the rules it gives an agent

7 rules. 0 are common, 6 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 65 edited versions we read keep these.

  • 6

    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:

    Check for overlap and prefer improving an existing skill when the workflow is only a variation.

    line 13
  2. Distinctive:

    Use a lowercase hyphenated folder name and a precise trigger description.

    line 14
  3. Distinctive:

    Keep instructions concise.

    line 15
  4. Distinctive:

    Use relative paths inside the skill.

    line 16
  5. Very specific:

    Keep agents/openai.yaml consistent with the skill and include its invocation name in the example prompt.

    line 17
  6. Distinctive:

    Read installation safety before copying or linking.

    line 21
  7. Distinctive:

    Run an available structural validator, exercise scripts on disposable fixtures, and forward-test a realistic request.

    line 32

“Common” is measured: kept by at least 6 in 10 of the 65 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

Skill Builder

Build one reusable capability and verify it with realistic input.

Define and author

  • Extract reusable decisions, inputs, outputs, and boundaries. Do not copy private session transcripts, personal operating procedures, or installed third-party bundles.
  • Check for overlap and prefer improving an existing skill when the workflow is only a variation.
  • Use a lowercase hyphenated folder name and a precise trigger description. Include name and description frontmatter, preserving supported optional metadata when updating.
  • Keep instructions concise. Add references for contracts, assets for templates, and scripts when deterministic behavior improves reliability.
  • Use relative paths inside the skill. Keep user-specific values in explicitly approved private configuration, not distributed examples.
  • Keep agents/openai.yaml consistent with the skill and include its invocation name in the example prompt.

Storage and discovery

Read installation safety before copying or linking.

Current documentation checked 2026-10-14:

  • Codex discovers repository/user skills under .agents/skills and supports symlinked skill folders. Inspect compatibility locations already in use before proposing migration. Codex documentation.
  • Claude Code uses project .claude/skills and personal ~/.claude/skills locations. Claude Code documentation.
  • A shared source can be linked into applicable discovery locations after verifying ownership and targets. Do not create duplicate registrations merely because multiple paths exist.
  • AGENTS.md and CLAUDE.md provide project routing and constraints. They do not replace native discovery or prove a skill loaded.

Validate and hand off

Run an available structural validator, exercise scripts on disposable fixtures, and forward-test a realistic request. Verify detection in the actual tool after its supported refresh. Distinguish files existing from successful discovery and use.

Report files, behavior checks, discovery status, and conflicts left untouched. Separately review provenance, safety, and the exact release manifest before public sharing. Authoring does not authorize installation elsewhere or publication.

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Your trail

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

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