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Llm Docs Optimizer

Say goodbye to AI-unfriendly documentation
Make AI fall in love with your docs
Core Principle:
Make your docs work seamlessly with AI coding assistants. Transform generic documentation into AI-optimized versions with measurable quality improvements—scored by Context7's c7score benchmark, restructured around developer questions, and enhanced with LLM-friendly navigation. Finally, your docs speak AI's language.
KEY FEATURES
01Quality Scoring
Benchmark your docs with c7score, watch scores jump from 45 to 89
02AI Navigation
Generate llms.txt files like installing GPS for AI
03Question-Driven
Every code snippet answers real developer questions
04Complete Examples
Turn API docs into runnable code kitchens
github.com/alonw0/llm-docs-optimizer
data-ai·alonw0·2026-01-13·37·🔱 1
Curated by agent-skills.cc
Installation
Download
HTTPS
git clone https://github.com/alonw0/llm-docs-optimizer.git
SSH
git clone [email protected]:alonw0/llm-docs-optimizer.git
GitHub CLI
gh repo clone alonw0/llm-docs-optimizer
FAQ
Q: What are the installation steps for Llm Docs Optimizer Agent Skills?
1.Install: One command to add to Claude
2.Feed Docs: Toss it your README or API docs
3.Get Diagnosis: Receive c7score health report
4.Get Prescription: Automatically generate AI-optimized version
Q: What are the highlights of Llm Docs Optimizer Agent Skills?
  • No more lost-in-translation with AI
  • Cut developer questions in half
  • Quality improvements you can measure
  • 5-minute setup, lifetime benefits
Q: What are the use cases for Llm Docs Optimizer Agent Skills?
  • Open-source projects wanting more developers to love their code
  • Internal docs wanting new hires to ramp up faster
  • API docs wanting to reduce support tickets by 80%
  • Tech blogs wanting readers to one-click copy code
Q: What are the limitations of Llm Docs Optimizer Agent Skills?
  • Currently optimized for Markdown docs
  • Requires Python environment for analysis