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Skillify Meta Skill

Turns a raw feature into a tested, evaluated, resolvable agent skill, and improves existing skills.

Repository
garrytan/gbrain
Stars
31,447
Licence
MIT
Files
1 file

What it does

This skill teaches an AI agent how to build and maintain other skills. It walks the agent through a 15-item checklist covering a skill's instruction file, scripts, tests, evaluations, and directory registration, then improves existing skills on re-runs instead of rewriting them. It also defines a no-regression rule so later edits to a skill must score at least as well as the previous version on the same evaluation.

Great for

  • Developers maintaining a library of agent skills who want consistent structure and tests
  • Teams converting ad-hoc features or scripts into reusable, documented agent capabilities
  • Operators who run scheduled agent jobs and need edits checked before they ship

Skip it if

  • One-off tasks or trivial helpers: the skill itself says these should be plain scripts, not skills, and it does not apply to them
  • Quick second opinions on a single piece of work: the file points to a separate cross-modal-review skill for that, which is lighter weight
  • Non-technical users without a repository, test setup, or access to multiple model providers, since the workflow assumes all of these

Try asking

  • “skillify this”
  • “is this a skill?”
  • “check skill completeness”
  • “did this skill regress”
Step-by-step guide: how to use Skillify Meta SkillInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    skillify.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip skillify.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip skillify.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Run the checklist one item at a time and let it show which items fail before editing anything
  • Give the skill a concrete goal and dimensions for each skill you build, so evaluations judge real purpose rather than generic quality
  • For scheduled jobs, re-run a representative task and evaluate it before shipping any edit

What's inside

  • SKILL.md

Redistributed unmodified from garrytan/gbrain under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.