rag-implementation

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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Installation for Agentic Skill

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Claude Code (CLI) Fast

skilz install varunisrani/skills-claude/rag-implementation

OpenCode (CLI) Fast

skilz install varunisrani/skills-claude/rag-implementation --agent opencode

OpenAI Codex (CLI) Native

skilz install varunisrani/skills-claude/rag-implementation --agent codex

Gemini CLI (Project) Project

skilz install varunisrani/skills-claude/rag-implementation --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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For Claude Desktop Easy

Download Agent Skill ZIP

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

Manual Installation

1. Clone the repository:

git clone https://github.com/varunisrani/skills-claude

2. Copy the agent skill directory:

cp -r skills-claude/claude_code_skills/ai-llm/rag-implementation/rag-implementation ~/.claude/skills/

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

Claude Desktop Guide Claude Code Guide Troubleshooting

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Agentic Skill Details

Owner: varunisrani (GitHub)
Repository: skills-claude
Type: Non-Technical
Meta-Domain: general
Primary Domain: general
Sub-Domain: ci cd rag generation
Market Score: 19

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