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llm-docs-optimizer

Optimize project documentation for c7score and generate llms.txt navigation files.

3|2|Updated Feb 11, 2026
Search Tags:#documentation#optimization#llm#readme#llms.txt#c7score
One-click install
npx skills add https://github.com/Paxeer-Network/Sidiora-Perpetual-Protocol --skill llm-docs-optimizer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llm-docs-optimizer
Source: https://github.com/Paxeer-Network/Sidiora-Perpetual-Protocol/tree/main/.windsurf/skills/llm-docs-optimizer
Command: npx skills add https://github.com/Paxeer-Network/Sidiora-Perpetual-Protocol --skill llm-docs-optimizer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of documentation not being easily understood or utilized by AI coding assistants and Large Language Models (LLMs), leading to less effective AI-assisted development.

Core Features & Use Cases

  • C7Score Optimization: Improves documentation quality based on Context7's benchmark, focusing on question-answering capabilities, clarity, and formatting.
  • llms.txt Generation: Creates LLM-friendly navigation files that help AI agents quickly understand project structure and find relevant information.
  • Use Case: A developer wants to ensure their project's README and documentation are easily discoverable and understandable by tools like GitHub Copilot or Claude. This Skill can analyze the existing docs, suggest improvements, and even generate an llms.txt file for better AI integration.

Quick Start

Use the llm-docs-optimizer skill to optimize the README.md file for c7score and generate an llms.txt file.

Frequently Asked Questions about llm-docs-optimizer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize README files for better LLM understanding and retrieval?▼

Optimizing README files for LLM understanding involves restructuring content based on common developer questions to improve clarity. This Skill analyzes existing documentation to enhance AI discoverability and generate a navigation file for coding assistants.

What is an llms.txt file and how does it help AI coding assistants?▼

An llms.txt file is an LLM-friendly navigation file that helps AI agents quickly understand project structure and locate relevant information. It serves as a roadmap for coding assistants like Copilot to retrieve codebase context efficiently.

How do I improve my project's c7score metrics for AI documentation?▼

Improving c7score metrics requires enhancing documentation quality based on Context7's benchmark, focusing on question-answering capabilities and formatting. This Skill analyzes your docs and suggests structural improvements to boost retrieval performance.

Can I use this to generate llms.txt files for an existing codebase?▼

Yes, you can use this Skill to analyze existing project documentation and automatically generate an llms.txt file. It restructures content to ensure your current codebase is easily discoverable by AI coding assistants and large language models.

Does optimizing documentation for LLMs require restructuring the entire project?▼

Optimizing documentation for LLMs does not require restructuring the entire project, only refining the README and docs content. The Skill focuses on formatting, clarity, and generating navigation files to improve AI understanding without altering source code.

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