Enhance Docs

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Enhance Docs is a specialized Claude Code skill designed to audit and refine technical documentation for both human developers and AI agents. It analyzes Markdown files for structural integrity, broken links, and optimal heading hierarchies while offering a dedicated AI mode to maximize RAG (Retrieval-Augmented Generation) readiness. By applying principles of token efficiency and 'position-aware' content placement, the skill ensures that critical information is easily retrievable by LLMs and remains clear for human readers, making it indispensable for maintaining high-quality project memory, READMEs, and agent instructions.

Características Principales

• Heading hierarchy and structure validation to ensure logical content flow
• 311 GitHub stars
• RAG optimization through intelligent chunking and semantic boundary detection
• Automated link validation for broken anchors and non-existent files
• Token efficiency auditing to reduce verbose prose and lower context costs
• Position-aware content analysis to prevent 'lost in the middle' retrieval issues

Casos de Uso

• Preparing project documentation for ingestion into a RAG-based AI search or support system
• Auditing large repositories to fix broken internal links and inconsistent Markdown formatting
• Condensing verbose developer guides into high-density technical references for AI agents