affaan-m/everything-claude-code/codebase-onboarding

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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.

Install

npx vskill@latest install affaan-m/everything-claude-code/codebase-onboarding

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 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
markdown
# 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.

markdown
# 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

  1. Don't read everything — reconnaissance should use Glob and Grep, not Read on every file. Read selectively only for ambiguous signals.
  2. Verify, don't guess — if a framework is detected from config but the actual code uses something different, trust the code.
  3. Respect existing CLAUDE.md — if one already exists, enhance it rather than replacing it. Call out what's new vs existing.
  4. Stay concise — the onboarding guide should be scannable in 2 minutes. Details belong in the code, not the guide.
  5. 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

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
109,111
Repository forks
14,237
Repository npm downloads, 7 days
980
7-day trend score
75

Stars and forks are for the whole GitHub repository, not this skill alone. Downloads are for the repository's npm package. Refreshed 22 Mar 2026, 7 months ago.

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