alonw0/llm-docs-optimizer
55 stars · Last commit 2025-11-17
A Claude Code plugin that optimizes documentation for AI coding assistants like Claude, GitHub Copilot, and other LLMs. Makes your docs more effective through c7score optimization, llms.txt generation, question-driven restructuring, and automated quality scoring.
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# LLM Docs Optimizer A Claude Code skill that makes your documentation work seamlessly with AI coding assistants. Transform generic docs into AI-optimized documentation with measurable quality improvements—scored by [Context7's c7score benchmark](https://www.context7.ai/c7score), structured around developer questions, and enhanced with [LLM-friendly navigation](https://llmstxt.org/). [](https://claude.ai/code) [](https://www.python.org/downloads/) [](LICENSE) ## Why Use This? **The Problem:** Standard documentation often fails with AI coding assistants. Generic API references, incomplete examples, and poor structure make it hard for tools like Claude and GitHub Copilot to help developers effectively. **The Solution:** This skill transforms your documentation to work seamlessly with AI tools by: - **Measurable Quality:** Score your docs against Context7's c7score benchmark and track improvements (e.g., 45 → 89/100) - **Better AI Retrieval:** Organize content around developer questions so LLMs can find the right answers - **Complete Examples:** Transform API references into runnable, practical code snippets - **LLM-Friendly Navigation:** Generate standardized llms.txt files that help AI understand your project structure