rag-implementer

Implement retrieval-augmented generation systems. Use when building knowledge-intensive applications, document search, Q&A systems, or need to ground LLM responses in external data. Covers embedding strategy, vector stores, retrieval pipelines, and evaluation.

$ 설치

git clone https://github.com/daffy0208/ai-dev-standards /tmp/ai-dev-standards && cp -r /tmp/ai-dev-standards/skills/rag-implementer ~/.claude/skills/ai-dev-standards

// tip: Run this command in your terminal to install the skill