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.
Scanned 9/5/2026
Install to Claude Code
npx -y skills add alirezarezvani/claude-skills --skill codebase-onboarding --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Codebase Onboarding?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/alirezarezvani-codebase-onboarding-claude-skills)More formats (shields.io, HTML) on the badges page.
---
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, writing architecture-overview docs for a new project, or producing tech-lead briefings for unfamiliar repos."
---
# 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.

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!