Local RAG system management with RLAMA. Create semantic knowledge bases from local documents (PDF, MD, code, etc.), query them using natural language, and manage document lifecycles. This skill should be used when building local knowledge bases, searching personal documents, or performing document Q&A. Runs 100% locally with Ollama - no cloud, no data leaving your machine.
Quickly install rlama AI skill to your development environment via command line
Source: tdimino/claude-code-minoan.
RLAMA (Retrieval-Augmented Language Model Adapter) provides fully local, offline RAG for semantic search over your documents.
Query an existing RAG system with a natural language question:
Get raw chunks without local LLM generation. Claude reads the chunks directly and synthesizes a stronger answer than local models can produce.
Local RAG system management with RLAMA. Create semantic knowledge bases from local documents (PDF, MD, code, etc.), query them using natural language, and manage document lifecycles. This skill should be used when building local knowledge bases, searching personal documents, or performing document Q&A. Runs 100% locally with Ollama - no cloud, no data leaving your machine. Source: tdimino/claude-code-minoan.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/tdimino/claude-code-minoan --skill rlamaLocal RAG system management with RLAMA. Create semantic knowledge bases from local documents (PDF, MD, code, etc.), query them using natural language, and manage document lifecycles. This skill should be used when building local knowledge bases, searching personal documents, or performing document Q&A. Runs 100% locally with Ollama - no cloud, no data leaving your machine. Source: tdimino/claude-code-minoan.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/tdimino/claude-code-minoan --skill rlama Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/tdimino/claude-code-minoan