codebase-onboarding
affaan-m/everything-claude-code
Analyze unfamiliar codebases and generate structured onboarding guides with architecture maps and starter CLAUDE.md files.
What is codebase-onboarding?
Systematically analyzes a codebase through reconnaissance, architecture mapping, and convention detection to produce a structured onboarding guide and project-specific CLAUDE.md. Use when joining a new project, setting up Claude Code in a repo for the first time, or needing to understand an unfamiliar codebase quickly.
- Detects package manifests, frameworks, entry points, and directory structure without reading every file
- Maps tech stack, architecture patterns, and key directories to understand project organization
- Identifies naming conventions, code patterns, error handling styles, and git workflows from existing code
- Generates a scannable 2-minute onboarding guide with tech stack, architecture, entry points, and common tasks
- Creates or enhances a project-specific CLAUDE.md with detected conventions and build/test commands
- Traces request lifecycle from entry point through validation, business logic, and database access
How to install codebase-onboarding
npx skills add https://github.com/affaan-m/everything-claude-code --skill codebase-onboardingHow to use codebase-onboarding
- 1.Run reconnaissance to detect package manifests, frameworks, entry points, and directory structure
- 2.Map the architecture by identifying tech stack, architecture pattern, key directories, and data flow
- 3.Detect conventions by analyzing naming patterns, code styles, error handling, and git workflows
- 4.Generate an onboarding guide with overview, tech stack table, architecture, entry points, and common tasks
- 5.Create or enhance CLAUDE.md with detected stack, code style, testing patterns, build commands, and conventions
Use cases
- First time opening a project with Claude Code to understand its structure and conventions
- Joining a new team or repository and needing a quick structural overview
- Generating a CLAUDE.md for a project that lacks one or updating an existing one
- Onboarding a new developer by providing architecture context and key entry points
- Setting up Claude Code in an existing repo with clear conventions and common task commands
- Developers joining new projects or teams
- Engineering leads setting up Claude Code for their team
- Developers working across multiple codebases who need quick context
- Teams establishing project conventions and documentation
codebase-onboarding FAQ
Skip the git conventions section and note that git history is unavailable or too shallow to detect conventions. Focus on code-based patterns instead.
No. Use Glob and Grep for reconnaissance, and read selectively only when signals are ambiguous. Trust actual code over config files when they conflict.
Read it first, preserve existing project-specific instructions, and clearly call out what was added or changed rather than replacing it entirely.
Keep it scannable in 2 minutes—typically under 100 lines. Details belong in the code, not the guide. Focus on structural insight the README lacks.
Flag it as unknown rather than guessing. For example, say 'Could not determine test runner' instead of making an incorrect assumption.
Full instructions (SKILL.md)
Source of truth, from affaan-m/everything-claude-code.
name: codebase-onboarding description: Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo. metadata: origin: ECC
Codebase Onboarding
Systematically analyze an unfamiliar codebase and produce a structured onboarding guide. Designed for developers joining a new project or setting up Claude Code in an existing repo for the first time.
When to Use
- First time opening a project with Claude Code
- Joining a new team or repository
- User asks "help me understand this codebase"
- User asks to generate a CLAUDE.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*, tsconfig.json, Makefile, Dockerfile,
docker-compose*, .github/workflows/, .env.example, CI configs
6. Test structure detection
→ tests/, test/, __tests__/, *_test.go, *.spec.ts, *.test.js,
pytest.ini, jest.config.*, vitest.config.*
Phase 2: Architecture Mapping
From the reconnaissance data, identify:
Tech Stack
- Language(s) and version constraints
- Framework(s) and major libraries
- Database(s) and ORMs
- Build tools and bundlers
- CI/CD platform
Architecture Pattern
- Monolith, monorepo, microservices, or serverless
- Frontend/backend split or full-stack
- API style: REST, GraphQL, gRPC, tRPC
Key Directories Map the top-level directories to their purpose:
<!-- Example for a React project — replace with detected directories -->src/components/ → React UI components
src/api/ → API route handlers
src/lib/ → Shared utilities
src/db/ → Database models and migrations
tests/ → Test suites
scripts/ → Build and deployment scripts
Data Flow Trace one request from entry to response:
- Where does a request enter? (router, handler, controller)
- How is it validated? (middleware, schemas, guards)
- Where is business logic? (services, models, use cases)
- How does it reach the database? (ORM, raw queries, repositories)
Phase 3: Convention Detection
Identify patterns the codebase already follows:
Naming Conventions
- File naming: kebab-case, camelCase, PascalCase, snake_case
- Component/class naming patterns
- Test file naming:
*.test.ts,*.spec.ts,*_test.go
Code Patterns
- Error handling style: try/catch, Result types, error codes
- Dependency injection or direct imports
- State management approach
- Async patterns: callbacks, promises, async/await, channels
Git Conventions
- Branch naming from recent branches
- Commit message style from recent commits
- PR workflow (squash, merge, rebase)
- If the repo has no commits yet or only a shallow history (e.g.
git clone --depth 1), skip this section and note "Git history unavailable or too shallow to detect conventions"
Phase 4: Generate Onboarding Artifacts
Produce two outputs:
Output 1: Onboarding Guide
# Onboarding Guide: [Project Name]
## Overview
[2-3 sentences: what this project does and who it serves]
## Tech Stack
<!-- Example for a Next.js project — replace with detected stack -->
| Layer | Technology | Version |
|-------|-----------|---------|
| Language | TypeScript | 5.x |
| Framework | Next.js | 14.x |
| Database | PostgreSQL | 16 |
| ORM | Prisma | 5.x |
| Testing | Jest + Playwright | - |
## Architecture
[Diagram or description of how components connect]
## Key Entry Points
<!-- Example for a Next.js project — replace with detected paths -->
- **API routes**: `src/app/api/` — Next.js route handlers
- **UI pages**: `src/app/(dashboard)/` — authenticated pages
- **Database**: `prisma/schema.prisma` — data model source of truth
- **Config**: `next.config.ts` — build and runtime config
## Directory Map
[Top-level directory → purpose mapping]
## Request Lifecycle
[Trace one API request from entry to response]
## Conventions
- [File naming pattern]
- [Error handling approach]
- [Testing patterns]
- [Git workflow]
## Common Tasks
<!-- Example for a Node.js project — replace with detected commands -->
- **Run dev server**: `npm run dev`
- **Run tests**: `npm test`
- **Run linter**: `npm run lint`
- **Database migrations**: `npx prisma migrate dev`
- **Build for production**: `npm run build`
## Where to Look
<!-- Example for a Next.js project — replace with detected paths -->
| I want to... | Look at... |
|--------------|-----------|
| Add an API endpoint | `src/app/api/` |
| Add a UI page | `src/app/(dashboard)/` |
| Add a database table | `prisma/schema.prisma` |
| Add a test | `tests/` matching the source path |
| Change build config | `next.config.ts` |
Output 2: Starter CLAUDE.md
Generate or update a project-specific CLAUDE.md based on detected conventions. If CLAUDE.md already exists, read it first and enhance it — preserve existing project-specific instructions and clearly call out what was added or changed.
# Project Instructions
## Tech Stack
[Detected stack summary]
## Code Style
- [Detected naming conventions]
- [Detected patterns to follow]
## Testing
- Run tests: `[detected test command]`
- Test pattern: [detected test file convention]
- Coverage: [if configured, the coverage command]
## Build & Run
- Dev: `[detected dev command]`
- Build: `[detected build command]`
- Lint: `[detected lint command]`
## Project Structure
[Key directory → purpose map]
## Conventions
- [Commit style if detectable]
- [PR workflow if detectable]
- [Error handling patterns]
Best Practices
- Don't read everything — reconnaissance should use Glob and Grep, not Read on every file. Read selectively only for ambiguous signals.
- Verify, don't guess — if a framework is detected from config but the actual code uses something different, trust the code.
- Respect existing CLAUDE.md — if one already exists, enhance it rather than replacing it. Call out what's new vs existing.
- Stay concise — the onboarding guide should be scannable in 2 minutes. Details belong in the code, not the guide.
- Flag unknowns — if a convention can't be confidently detected, say so rather than guessing. "Could not determine test runner" is better than a wrong answer.
Anti-Patterns to Avoid
- Generating a CLAUDE.md that's longer than 100 lines — keep it focused
- Listing every dependency — highlight only the ones that shape how you write code
- Describing obvious directory names —
src/doesn't need an explanation - Copying the README — the onboarding guide adds structural insight the README lacks
Examples
Example 1: First time in a new repo
User: "Onboard me to this codebase"
Action: Run full 4-phase workflow → produce Onboarding Guide + Starter CLAUDE.md
Output: Onboarding Guide printed directly to the conversation, plus a CLAUDE.md written to the project root
Example 2: Generate CLAUDE.md for existing project
User: "Generate a CLAUDE.md for this project"
Action: Run Phases 1-3, skip Onboarding Guide, produce only CLAUDE.md
Output: Project-specific CLAUDE.md with detected conventions
Example 3: Enhance existing CLAUDE.md
User: "Update the CLAUDE.md with current project conventions"
Action: Read existing CLAUDE.md, run Phases 1-3, merge new findings
Output: Updated CLAUDE.md with additions clearly marked
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