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rag-implementation

54.2

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.

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Also in: word ci cd

Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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skilz install wshobson/agents/rag-implementation
skilz install wshobson/agents/rag-implementation --agent opencode
skilz install wshobson/agents/rag-implementation --agent codex
skilz install wshobson/agents/rag-implementation --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/wshobson/agents
2. Copy the agent skill directory:
cp -r agents/plugins/llm-application-dev/skills/rag-implementation ~/.claude/skills/
View on GitHub

Need detailed installation help? Check our platform-specific guides:

Claude Desktop Guide Claude Code Guide Troubleshooting

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Agentic Skill Details

Owner
wshobson (GitHub)
Repository
agents
Type
Technical
Meta-Domain
productivity
Primary Domain
pdf
Market Score
54.2
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