# Codebase Onboarding

> Analyze a codebase and generate onboarding documentation for engineers, tech leads, and contractors. Fast fact-gathering and repeatable onboarding outputs. Use when onboarding a new engineer, writing architecture-overview docs for a new project, or producing tech-lead briefings for unfamiliar repos.

- Skill: `thedixitjain/codebase-onboarding-4` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds add thedixitjain/codebase-onboarding-4`
- Raw SKILL.md: https://api.skillmd.com/api/skills/thedixitjain/codebase-onboarding-4/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- Author: thedixitjain (https://skillmd.com/u/thedixitjain)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/thedixitjain/codebase-onboarding-4

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# Codebase Onboarding

**Tier:** POWERFUL  
**Category:** Engineering  
**Domain:** Documentation / Developer Experience

---

## Overview

Analyze a codebase and generate onboarding documentation for engineers, tech leads, and contractors. This skill is optimized for fast fact-gathering and repeatable onboarding outputs.

## Core Capabilities

- Architecture and stack discovery from repository signals
- Key file and config inventory for new contributors
- Local setup and common-task guidance generation
- Audience-aware documentation framing
- Debugging and contribution checklist scaffolding

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## When to Use

- Onboarding a new team member or contractor
- Rebuilding stale project docs after large refactors
- Preparing internal handoff documentation
- Creating a standardized onboarding packet for services

---

## Quick Start

```bash
# 1) Gather codebase facts
python3 scripts/codebase_analyzer.py /path/to/repo

# 2) Export machine-readable output
python3 scripts/codebase_analyzer.py /path/to/repo --json

# 3) Use the template to draft onboarding docs
# See references/onboarding-template.md
```

---

## Recommended Workflow

1. Run `scripts/codebase_analyzer.py` against the target repository.
2. Capture key signals: file counts, detected languages, config files, top-level structure.
3. Fill the onboarding template in `references/onboarding-template.md`.
4. Tailor output depth by audience:
   - Junior: setup + guardrails
   - Senior: architecture + operational concerns
   - Contractor: scoped ownership + integration boundaries

---

## Onboarding Document Template

Detailed template and section examples live in:
- `references/onboarding-template.md`
- `references/output-format-templates.md`

---

## Common Pitfalls

- Writing docs without validating setup commands on a clean environment
- Mixing architecture deep-dives into contractor-oriented docs
- Omitting troubleshooting and verification steps
- Letting onboarding docs drift from current repo state

## Best Practices

1. Keep setup instructions executable and time-bounded.
2. Document the "why" for key architectural decisions.
3. Update docs in the same PR as behavior changes.
4. Treat onboarding docs as living operational assets, not one-time deliverables.

---

**Source:** [`alirezarezvani/claude-skills`](https://github.com/alirezarezvani/claude-skills) → `engineering/skills/codebase-onboarding/SKILL.md`

