mcpField
C
codebase-onboarding

codebase-onboarding

github.com/alirezarezvaniDevelopment28.9k709 installsUpdated 2d ago
Repository

About codebase-onboarding

A codebase-onboarding skill for engineers, tech leads, and contractors. It analyzes repository structure, languages, and configuration, then helps produce audience-tailored setup, architecture, and contribution documentation.

Key features

  1. 01Architecture and stack discovery
  2. 02Key file and config inventory
  3. 03Local setup guidance
  4. 04Audience-specific documentation
  5. 05Debugging and contribution checklists

Use cases

  1. 01Preparing onboarding for new engineers or contractors
  2. 02Refreshing docs after a major refactor
  3. 03Creating internal handoff materials
  4. 04Standardizing service onboarding packets

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/alirezarezvani/claude-skills --skill codebase-onboarding

After installing, type/codebase-onboardingin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
onboarding-template.md
output-format-templates.md
scripts/
codebase_analyzer.py

Details

From the project README

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.

Comments

Markdown supported