# sqlmind

> sqlmind — veloceai-sqlmind. Use this tool when you need to generate SQL queries or interact with databases in a more intelligent way, solving problems such as complex query generation and database schema management. It takes in natural language inputs and outputs optimized SQL queries, supporting 10 different dialects and integrating with Git. Ideal for use cases where LLM agents require a robust SQL interface, such as data analysis or database-driven applications.

Canonical page: https://skillsregistry.net/skills/veloceai-sqlmind  
JSON: https://api.skillsregistry.net/v1/skills/veloceai-sqlmind

## Description

SQL intelligence layer for LLM agents — phase-locked generation, property graph schema, 10 dialects, MCP server

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/VeloceAI/sqlmind)

## 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": "veloceai-sqlmind"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/veloceai-sqlmind` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/veloceai-sqlmind/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