codebase-onboarding

Launch five explore agents to document codebase structure and output ONBOARDING.md.

2|Updated Apr 3, 2026

Search Tags:#automation #documentation #onboarding #codebase #parallel #exploration #synthesis

Ready to run

npx skills add https://github.com/kscius/KS-Cursor-Orchestrator --skill codebase-onboarding-kscius

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codebase-onboarding
Source: https://github.com/kscius/KS-Cursor-Orchestrator/tree/main/skills/codebase-onboarding
Command: npx skills add https://github.com/kscius/KS-Cursor-Orchestrator --skill codebase-onboarding-kscius

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Onboarding a codebase is often slow and error-prone. This skill accelerates that process by running parallel explorations to map architecture, data models, APIs, authentication, and deployment, and then synthesizing findings into a comprehensive onboarding document.

Core Features & Use Cases

Launch five explore subagents in parallel to investigate architecture & structure, data models & database, API routes & endpoints, authentication & authorization, and deployment & infrastructure.
Synthesize results into a cohesive onboarding document for quick team ramp-up.
Save the document as ONBOARDING.md at the project root for easy sharing and future reference.

Quick Start

Launch five explore subagents in parallel for architecture, data models, API routes, authentication, and deployment, then synthesize results into ONBOARDING.md.

Frequently Asked Questions about codebase-onboarding

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

FAQPage Schema

How do I automate codebase onboarding and generate documentation for a new project?▼

Automate codebase onboarding by launching five parallel explore subagents to investigate architecture, data models, APIs, authentication, and deployment, then synthesizing their findings into a single ONBOARDING.md file at the project root.

What is the best way to map a monorepo's architecture and data models for team ramp-up?▼

Mapping a monorepo's architecture is best done through parallel exploration agents that investigate structure, database schemas, API routes, and deployment infrastructure, compiling findings into a cohesive onboarding document for quick team ramp-up.

Can I document API routes and authentication flows across diverse tech stacks automatically?▼

Yes, you can document API routes and authentication flows across diverse stacks by applying parallel exploration agents that investigate endpoints and authorization mechanisms, then aggregating results into a shared ONBOARDING.md file.

How does parallel codebase exploration work for generating an onboarding document?▼

Parallel codebase exploration works by orchestrating five specialized subagents simultaneously to examine different system layers like data models and deployment, then aggregating their results into a comprehensive synthesized onboarding document.

Does this codebase onboarding approach work for monorepos with multiple frameworks?▼

Yes, this codebase onboarding approach applies to monorepos and diverse stacks by launching parallel exploration tasks that map architecture, APIs, and infrastructure independently before compiling the results.

What are the limitations of using automated parallel exploration for codebase documentation?▼

Automated parallel exploration for codebase documentation focuses on architecture, data models, APIs, authentication, and deployment, meaning it synthesizes these specific structural layers into ONBOARDING.md rather than providing deep runtime behavioral analysis.