Enhance Docs FAQs

Question 1

What is RAG optimization in documentation?

Accepted Answer

RAG (Retrieval-Augmented Generation) optimization involves structuring content into self-contained, appropriately sized chunks with clear semantic boundaries, making it easier for AI retrieval systems to index and retrieve the most relevant information.

Question 2

What is the benefit of the --ai mode?

Accepted Answer

AI mode prioritizes aggressive token reduction and information density. It replaces verbose prose with tables and lists, ensuring your documentation fits within LLM context windows while remaining highly informative for agents.

Question 3

Does this skill modify my files automatically?

Accepted Answer

Only if you include the --fix flag. By default, it generates a report. When the fix flag is used, it only applies changes to high-certainty issues like malformed links, inconsistent headings, or redundant phrases.

Question 4

How does 'position-aware' content work?

Accepted Answer

Based on research showing LLMs often miss information in the middle of long documents, this skill identifies critical content buried in middle sections and suggests moving it to the beginning or end for better visibility.

Question 5

Which files does this skill typically analyze?

Accepted Answer

It targets standard Markdown files like README.md, user guides in /docs, and AI-specific documentation like CLAUDE.md or AGENTS.md.

Enhance Docs

Key Features

Use Cases

Enhance Docs

Key Features

Use Cases