rag-implementation

Name: rag-implementation
Rating: 1.0 (1 reviews)
Author: Microck

20.5

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 Microck/ordinary-claude-skills/rag-implementation

OpenCode (CLI) Fast

skilz install Microck/ordinary-claude-skills/rag-implementation --agent opencode

OpenAI Codex (CLI) Native

skilz install Microck/ordinary-claude-skills/rag-implementation --agent codex

Gemini CLI (Project) Project

skilz install Microck/ordinary-claude-skills/rag-implementation --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding agents

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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/Microck/ordinary-claude-skills

2. Copy the agent skill directory:

cp -r ordinary-claude-skills/skills_categorized/llm-ai/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: Microck (GitHub)
Repository: ordinary-claude-skills
Type: Non-Technical
Meta-Domain: general
Primary Domain: general
Sub-Domain: cd rag generation
Market Score: 20.5

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