RAG Audit Skill

What problem does it solve?

This Skill helps identify and fix common anti-patterns, performance issues, and best practice violations in Retrieval-Augmented Generation (RAG) implementations, ensuring more robust and efficient AI systems.

Core Features & Use Cases

• Code Analysis: Scans code for RAG components like embeddings, vector stores, and retrieval logic.
• Anti-Pattern Detection: Flags common mistakes in chunking, embedding, retrieval, and generation.
• Best Practices Check: Validates against industry standards for RAG pipelines.
• Actionable Recommendations: Provides specific fixes with code examples.
• Use Case: Before deploying a new RAG-powered chatbot, use this Skill to perform a comprehensive audit, catching potential issues like inefficient chunking or missing reranking stages, thereby improving its accuracy and performance.

Quick Start

Run a full audit on the current project's codebase to identify RAG anti-patterns.