# rag-architect

> Use this tool when you need to design and implement retrieval-augmented generation models, solving problems related to information retrieval and text generation. It provides comprehensive tools and knowledge for designing, accepting inputs such as model specifications and generating outputs like optimized model architectures. Ideal for use cases requiring efficient and effective text generation, such as chatbots, language translation, and content creation.

Canonical page: https://skillsregistry.net/skills/alirezarezvani-rag-architect  
JSON: https://api.skillsregistry.net/v1/skills/alirezarezvani-rag-architect

## Description

The RAG (Retrieval-Augmented Generation) Architect skill provides comprehensive tools and knowledge for designing.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-05-18

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/alirezarezvani-rag-architect)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alirezarezvani-rag-architect"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alirezarezvani-rag-architect` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alirezarezvani-rag-architect/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
