LLM Docs Optimizer

A Claude Code plugin that optimizes documentation for AI coding assistants such as Claude, GitHub Copilot and other LLMs. Standard docs often fail with these tools because generic API references, incomplete examples and poor structure make answers hard to find. The plugin addresses this through c7score optimization, llms.txt generation, question driven restructuring and automated quality scoring. It reorganizes content around developer questions, turns API references into runnable examples and generates llms.txt files with LLM friendly navigation. A demo video, a quick install and a manual install route are provided. Written in Python and released under the MIT license, it is aimed at maintainers who want their documentation to work well when a coding assistant reads it. It targets teams whose users now ask a coding assistant first, so the pages a person never opens still get read correctly by the tool.