Agent skill · Design & Presentation

codebase-onboarding

Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CODEX.md. Use when joining a new project or setting up OpenAI Codex for the first time in a repo.

mturacgithub.com/mturacGitHub ↗
codexcopilotcursorMIT
Install
npx skills add mturac/everything-openai-codex --skill codebase-onboarding --agent codex

Same command for any agent — swap --agent for claude-code, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/codebase-onboarding/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 84
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Codebase Onboarding Systematically analyze an unfamiliar codebase and produce a structured onboarding guide. Designed for developers joining a new project or setting up OpenAI Codex in an existing repo for the first time. ## When to Use - First time opening a project with OpenAI Codex - Joining a new team or repository - User asks "help me understand this codebase" - User asks to generate a CODEX.md for a project - User says "onboard me" or "walk me through this repo" ## How It Works ### Phase 1: Reconnaissance Gather raw signals about the project without reading every file. Run these checks in parallel: ``` 1. Package manifest detection → package.json, go.mod, Cargo.toml, pyproject.toml, pom.xml, build.gradle, Gemfile, composer.json, mix.exs, pubspec.yaml 2. Framework fingerprinting → next.config.*, nuxt.config.*, angular.json, vite.config.*, django settings, flask app factory, fastapi main, rails config 3. Entry point identification → main.*, index.*, app.*, server.*, cmd/, src/main/ 4. Directory structure snapshot → Top 2 levels of the directory tree, ignoring node_modules, vendor, .git, dist, build, __pycache__, .next 5. Config and tooling detection → .eslintrc*, .prettierrc*

What's inside
Steps it walks through
  1. When to Use
  2. How It Works
  3. Phase 1: Reconnaissance
  4. Phase 2: Architecture Mapping
  5. Phase 3: Convention Detection
  6. Phase 4: Generate Onboarding Artifacts
  7. Best Practices
  8. Anti-Patterns to Avoid
  9. Examples
  10. Example 1: First time in a new repo
  11. Example 2: Generate CODEX.md for existing project
  12. Example 3: Enhance existing CODEX.md
More from everything-openai-codex
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About this skill
What does the codebase-onboarding skill do?

Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CODEX.md. Use when joining a new project or setting up OpenAI Codex for the first time in a repo.

How do I install it?

Run `npx skills add mturac/everything-openai-codex --skill codebase-onboarding --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From mturac/everything-openai-codex, a repository with 84 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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