# yzma-duckdb-rag

> yzma-duckdb-rag — innomon-yzma-duckdb-rag. Use this tool when you need to generate text based on relevant information retrieved from a database, leveraging the capabilities of Retrieval-Augmented Generation (RAG) to solve complex natural language processing tasks. It takes in queries and database connections as inputs and produces generated text as output. Ideal for use cases where you need to automate text generation, such as chatbots or content creation, with the added benefit of version control through git integration.

Canonical page: https://skillsregistry.net/skills/innomon-yzma-duckdb-rag  
JSON: https://api.skillsregistry.net/v1/skills/innomon-yzma-duckdb-rag

## Description

A Retrieval-Augmented Generation (RAG) system implemented in Go

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/innomon/yzma-duckdb-rag)

## 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": "innomon-yzma-duckdb-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/innomon-yzma-duckdb-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/innomon-yzma-duckdb-rag/pull`

---
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