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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, writi...

Version1.0.0
LicenseMIT
Token count~652
UpdatedJun 4, 2026

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.

Install

Quick install

via npx skills · works with 57+ agents
npx skills add https://github.com/alirezarezvani/claude-skills/tree/main/engineering/skills/codebase-onboarding
Or pick agent:
npx skills add alirezarezvani/claude-skills --skill codebase-onboarding --agent claude-code
npx skills add alirezarezvani/claude-skills --skill codebase-onboarding --agent cursor
npx skills add alirezarezvani/claude-skills --skill codebase-onboarding --agent codex
npx skills add alirezarezvani/claude-skills --skill codebase-onboarding --agent opencode
npx skills add alirezarezvani/claude-skills --skill codebase-onboarding --agent github-copilot
npx skills add alirezarezvani/claude-skills --skill codebase-onboarding --agent windsurf
More install options

Shorthand — useful for multi-skill repos:

npx skills add alirezarezvani/claude-skills --skill codebase-onboarding

Manual — clone the repo and drop the folder into your agent's skills directory:

git clone https://github.com/alirezarezvani/claude-skills.git
cp -r claude-skills/engineering/skills/codebase-onboarding ~/.claude/skills/
How to use: Once installed, ask your agent to "use the codebase-onboarding skill" or describe what you want (e.g. "Analyze a codebase and generate onboarding documentation for engineers, tech lea"). Requires Node.js 18+.

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

---

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

# 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.

SKILL.md source

---
name: codebase-onboarding
description: 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, writi...
---

# 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

---

## 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.

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