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what is meta-skills fr?

cheshiremew/meta-skills — explained in plain English

Analysis updated 2026-05-18

16PythonAudience · developerComplexity · 3/5LicenseSetup · moderate

tl;dr

A Python toolkit that helps you design, create, audit, and validate reusable instructions for AI agents, ensuring they perform specific tasks effectively before generating files.

vibe map

mindmap
  root((repo))
    What it does
      Design new skills
      Generate documentation
      Audit skill scope
      Validate behavior
    Use cases
      Initialize new skill
      Migrate old projects
      Refactor existing skill
      Check trigger conditions
    Setup
      Clone to skills directory
      Symlink for dev
      Restart Codex if needed
    Core principles
      Protected by default
      Explicit changes required
      Read-only invariants
    Audience
      AI agent builders
      Skill developers

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what do people make with this?

VIBE 1

Design and initialize a new AI agent skill from scratch with proper boundaries.

VIBE 2

Audit an existing skill's trigger conditions and action permissions for conflicts.

VIBE 3

Migrate reusable capabilities from old projects while keeping examples separate.

VIBE 4

Validate a skill's scripts, references, and metadata before deployment.

what's the stack?

Python

how it stacks up fr

cheshiremew/meta-skills920linjerry-stack/capital-studioadya84/ha-world-cup-2026
Stars161616
LanguagePythonPythonPython
Setup difficultymoderateeasyeasy
Complexity3/53/52/5
Audiencedeveloperresearchergeneral

Figures from each repo's GitHub metadata at analysis time.

how do i run it?

Difficulty · moderate time til it works · 30min

Requires cloning into a specific user-level skills directory and creating symlinks or junctions if developing from a separate location.

No license is provided, so you do not have permission to copy, modify, or distribute the code even though it is publicly visible.

in plain english

Meta-skills is a toolkit for working with Codex agent skills, which are reusable instructions that help AI agents perform specific tasks. Rather than simply checking folder structures or metadata, it focuses on understanding what a user actually needs a skill to do, what its responsibilities should be, and where its boundaries lie before generating files or validating behavior. The repository covers several core activities: designing and initializing a new skill from scratch, generating and maintaining the required documentation files, auditing a skill's trigger conditions and action permissions, migrating reusable capabilities from existing projects while keeping example materials separate, and validating scripts, references, metadata, and the final observable results a user would see. It also checks whether a skill's scope is too narrow, too broad, or has conflicting entry points. Installation involves cloning the repository into a specific user-level skills directory that Codex automatically discovers. For developers who want to keep working in a separate location, the README describes creating a directory junction on Windows or a symbolic link on POSIX systems so the source repository remains the single source of truth. If Codex does not immediately show the skill, restarting it usually resolves the discovery issue. Usage is straightforward. You can explicitly call meta-skills with a description of what you want to create, refactor, audit, migrate, or validate. Codex can also invoke it implicitly when a request matches the skill's description. The repository includes Python scripts for initializing a new skill, generating UI metadata, and running structural validation checks, though the README notes that structural checks do not replace real behavioral verification. The project keeps core principles in a protected, read-only section by default. Only when a user explicitly requests changes to those principles can the core content, lock file, and validation invariants be modified. The repository currently has no open source license, meaning public visibility does not automatically grant permission to copy, modify, or distribute the code.

prompts (copy fr)

prompt 1
Use meta-skills to help me design a new Codex agent skill for automatically summarizing long documents, including defining its scope and boundaries.
prompt 2
Audit my existing Codex agent skill to check if its trigger conditions are too broad or conflict with other skills, using the meta-skills validation approach.
prompt 3
Migrate a reusable document-processing capability from my old Python project into a new Codex agent skill using meta-skills, keeping example files separate.
prompt 4
Generate the required documentation files and UI metadata for my new Codex agent skill that helps users format and export markdown files.

Frequently asked questions

what is meta-skills fr?

A Python toolkit that helps you design, create, audit, and validate reusable instructions for AI agents, ensuring they perform specific tasks effectively before generating files.

What language is meta-skills written in?

Mainly Python. The stack also includes Python.

What license does meta-skills use?

No license is provided, so you do not have permission to copy, modify, or distribute the code even though it is publicly visible.

How hard is meta-skills to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is meta-skills for?

Mainly developer.

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