onboard

Analyze codebase architecture, patterns, and connectivity to update ARCHITECTURE.md.

5|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/yash-gadodia/claude-init --skill onboard-yash-gadodia
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: onboard
Source: https://github.com/yash-gadodia/claude-init/tree/main/.claude/skills/onboard
Command: npx skills add https://github.com/yash-gadodia/claude-init --skill onboard-yash-gadodia

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The onboard Skill addresses the challenge of quickly understanding and getting up to speed with new codebases by providing a detailed mental model of the architecture, key patterns, and connections.

Core Features & Use Cases

  • Comprehensive Architecture Analysis: Maps the codebase structure, identifying frameworks, languages, and key dependencies.
  • Data Layer Insights: Identifies schema files, entities, relationships, and ORM/query layers.
  • API Surface Understanding: Maps endpoints, handlers, authentication middleware, and validation.
  • Frontend Mapping (if applicable): Identifies pages, components, state management, and shared UI components.
  • ARCHITECTURE.md Freshness Check: Verifies the accuracy of the architectural documentation and suggests updates if needed.
  • Pattern Extraction: Pinpoints the happy path, error handling, authentication, testing, and deployment patterns.
  • Concise Onboarding Doc: Generates a brief, informative onboarding document with essential details.

Quick Start

Use the onboard skill to analyze the codebase focusing on 'auth' area.

Frequently Asked Questions about onboard

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I onboard to a new codebase and build a mental model of its architecture?

To onboard to a new codebase, you can analyze its architecture, key patterns, and connectivity to quickly build a mental model. This involves mapping frameworks, data layers, API surfaces, and frontend structures to understand the overall system.

What is the best way to analyze a codebase for architecture and pattern identification?

Analyzing a codebase for pattern identification involves mapping the structure to find frameworks, dependencies, and key data layers. The process extracts development patterns like the happy path, error handling, and authentication to ensure comprehensive understanding.

How do I check if my ARCHITECTURE.md documentation is up-to-date with the current codebase?

Checking ARCHITECTURE.md freshness involves verifying the accuracy of the architectural documentation against the actual codebase structure. If the documentation is outdated, the analysis suggests necessary updates to align with current frameworks and patterns.

Can I map frontend structures and API surfaces during codebase onboarding?

Yes, during codebase onboarding you can map API surfaces by identifying endpoints, handlers, and authentication middleware. If applicable, it also maps frontend structures by identifying pages, components, and state management.

Does codebase analysis work for identifying data layers and ORM query patterns?

Yes, codebase analysis works for identifying data layers by mapping schema files, entities, and relationships. It specifically targets ORM and query layers to provide insights into how data is structured and accessed within the application.