Wiki Onboarding Guide Generator FAQs

Question 1

Are the generated Mermaid diagrams editable?

Accepted Answer

The skill generates Mermaid.js code, which is easily rendered in most Markdown viewers (like GitHub and VS Code) and can be manually updated as your architecture evolves.

Question 2

Can I use this for legacy codebase analysis?

Accepted Answer

Absolutely. By triggering the /deep-wiki:onboard command, the AI will perform a deep analysis of the repository to extract the underlying design patterns, data flows, and technical debt.

Question 3

Does it support my specific programming language?

Accepted Answer

Yes, it automatically scans for build files like package.json, Cargo.toml, or requirements.txt to detect your primary language and provide language-specific code examples and patterns.

Question 4

How does the skill ensure the documentation is accurate?

Accepted Answer

The skill uses grounded citations, referencing specific file paths and line numbers for every architectural claim or code pattern described to ensure the wiki reflects the actual state of the code.

Question 5

What documents does the Wiki Onboarding skill create?

Accepted Answer

It generates two complementary guides: a Principal-Level guide focused on architectural philosophy and design rationale, and a Zero-to-Hero guide for practical environment setup and contributor workflows.

Wiki Onboarding Guide Generator

Key Features

Use Cases

Diagram Maker & Visualizer

Interview Practice Assistant

Healthcare EMR Development Patterns