Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
安装
npx skills add wshobson/agents --skill rag-implementationnpx skills add wshobson/agents --skill rag-implementation -a claude-code -gnpx skills add wshobson/agents --skill rag-implementation -a codex -ggemini skills install https://github.com/wshobson/agents.git --path plugins/llm-application-dev/skills/rag-implementationgh skill install wshobson/agents rag-implementationgit clone --depth 1 https://github.com/wshobson/agents /tmp/wshobson__agents
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/wshobson__agents/plugins/llm-application-dev/skills/rag-implementation ~/.claude/skills/rag-implementation # Claude Code
cp -R /tmp/wshobson__agents/plugins/llm-application-dev/skills/rag-implementation ~/.agents/skills/rag-implementation # Codex, Cursor, Gemini CLI, Copilot, OpenCode