rag-workflow-planner

# RAG Workflow Planner ## What this skill does This skill walks through your RAG use case requirements and designs a complete, production-ready Retrieval-Augmented Generation pipeline. It recommends a chunking strategy, embedding model, vector store, retrieval approach, and reranking strategy — each choice justified against your specific requirements. The output includes an ASCII architecture diagram, a component-by-component breakdown, and a starter code outline. Use this when you're starting a new RAG project or when an existing RAG pipeline is producing poor retrieval quality and you want a systematic redesign. ## How to use ### Claude Code / Cline Copy this file to `.agents/skills/rag-workflow-planner/SKILL.md` in your project root. Then describe your use case and ask: - *"Use the RAG Workflow Planner skill to design a pipeline for our customer support chatbot."* - *"Plan a RAG architecture for our internal knowledge base search using the RAG Workflow Planner skill."* The more detail you provide about document types, query patterns, and latency requirements, the more precise the output. ### Cursor Add the "Prompt / Instructions" section to your `.cursorrules` file. Describe your RAG use case in the chat. ### Codex Describe your use case and answer the requirements questions in the instructions below, then include the full instructions. Codex will produce the architecture design. ## The Prompt / Instructions for the Agent When asked to design a RAG pipeline, ...