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rag-architect

Use when the user asks to design a RAG pipeline, choose a chunking strategy or embedding model, pick a vector database, or evaluate retrieval quality (precision@k, recall@k, NDCG). Examples: 'design a RAG system for our docs', 'what chunk…

  • Skills
  • General
  • 2

What it does and how to use it

A skill that teaches Claude Code to do general tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/alirezarezvani-claude-skills__rag-architect && curl -fsSL https://doutorai.pt/data/lib/skills__alirezarezvani-claude-skills__rag-architect.md -o .claude/skills/alirezarezvani-claude-skills__rag-architect/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

---
name: "rag-architect"
description: "Use when the user asks to design a RAG pipeline, choose a chunking strategy or embedding model, pick a vector database, or evaluate retrieval quality (precision@k, recall@k, NDCG). Examples: 'design a RAG system for our docs', 'what chunk size should I use for this corpus', 'evaluate my retriever against ground truth'. NOT for general LLM cost tuning (use llm-cost-optimizer) or agent loops over retrieval (use agenthub)."
---

# RAG Architect

Design, tune, and evaluate production RAG pipelines with three deterministic tools. Run the tools against the act

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