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code-onboard

Generate onboarding reports explaining repository purpose, execution flow, and architecture boundaries.

1|Updated Mar 6, 2026
Search Tags:#data flow#developer productivity#module boundaries#repository analysis#architecture map#code onboarding
One-click install
npx skills add https://github.com/pycode4micro/bushserver --skill code-onboard
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-onboard
Source: https://github.com/pycode4micro/bushserver/tree/main/src/bushserver/seeds/skills/package/code-onboard
Command: npx skills add https://github.com/pycode4micro/bushserver --skill code-onboard

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you quickly understand an unfamiliar repository by producing a reliable high-level model of what the project is, how it runs, how modules are divided, how data flows, and where a new contributor should start.

Core Features & Use Cases

  • Big-picture onboarding: Builds an efficient mental model without trying to read the whole repo first.
  • Architecture and flow mapping: Guides you to scan, then trace key call paths and data movement across selected modules.
  • Contributor-focused guidance: Produces an onboarding report meant to orient you toward responsible entry points and priorities for next steps (without jumping into review or debugging).

Quick Start

Use code-onboard when you are facing an unfamiliar GitHub repository and need a structured onboarding report that explains the project’s purpose, runtime flow, module boundaries, data flow, and suggested starting points.

Frequently Asked Questions about code-onboard

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

FAQPage Schema
How do I understand an unfamiliar codebase before making changes?▼

You can generate an onboarding report that explains project purpose, execution flow, and architecture boundaries. This builds an efficient mental model of an unfamiliar codebase without reading the entire repository.

What is the best way to map module boundaries and data flow in a repository?▼

The best way to map module boundaries and data flow is using a scan-first workflow that traces key call paths and data movement across selected modules. This separates confirmed facts from inferred and unconfirmed items during repository analysis.

How do I onboard new contributors to a software engineering project?▼

To onboard new contributors, produce an orientation report mapping module responsibilities, call-chain context, and data-flow mapping. This guides them toward responsible entry points and priorities for next steps without jumping into debugging.

Can I analyze a GitHub repository architecture without cloning and reading the whole codebase?▼

Yes, you can analyze a GitHub repository by scanning the codebase to generate a high-level architecture map. This provides rapid orientation by explaining the project's purpose, runtime flow, and module divisions without reading every file.

Does code-onboard work for rapid orientation when I need to trace call-chain context?▼

Code-onboard works for rapid orientation by tracing key call paths and data movement across selected modules. It generates a structured onboarding report mapping call-chain context and architecture boundaries for contributor onboarding.

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