LLM Documentation Generator FAQs

Question 1

How does multi-agent consultation improve documentation?

Accepted Answer

The skill orchestrates multiple LLMs to research the codebase in parallel. By synthesizing these diverse perspectives, it produces richer, more accurate, and more human-readable narrative content than a single-pass scan.

Question 2

What does the LLM Documentation Generator skill do?

Accepted Answer

It generates comprehensive, navigable, and sharded documentation—including architecture guides, tutorials, and reference topics—by using multi-agent LLM consultation to analyze your source code directly.

Question 3

What are the benefits of 'sharded' documentation output?

Accepted Answer

Unlike monolithic README files, sharded output organizes content into specific directories like architecture/, guides/, and reference/. This makes the documentation more navigable, easier to maintain, and scalable as your project grows.

Question 4

Can I resume a documentation scan if it is interrupted?

Accepted Answer

Yes. The skill features state-based resumability via a project-doc-state.json file. If a long-running analysis is interrupted, you can simply run the resume command to pick up from the last completed checkpoint.

Question 5

When should I use this skill instead of a basic README?

Accepted Answer

Use this skill for complex projects where you need to explain the 'why' behind the code. It is ideal for creating onboarding guides, system architecture overviews, and narrative design documentation that requires synthesis and interpretation.

LLM Documentation Generator

LLM Documentation Generator

About

Key Features

Use Cases

About

Key Features

Use Cases