# genpark-natural-language-cte-sql-synthesizer-skill

> genpark-natural-language-cte-sql-synthesizer-skill — alpha-park-genpark-natural-language-cte-sql-synthesizer-skill. Use this tool when you need to convert natural language queries into complex Common Table Expression (CTE) ANSI SQL statements, solving data analysis and querying problems by taking human-readable input and generating executable SQL code as output, ideal for data scientists and developers working with large datasets. It streamlines the SQL writing process, reducing errors and improving productivity. This skill is particularly useful when working with complex data queries and git version control systems.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-natural-language-cte-sql-synthesizer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-natural-language-cte-sql-synthesizer-skill

## Description

Natural language to complex CTE ANSI SQL synthesizer (Julius AI / SQL)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Alpha-Park/genpark-natural-language-cte-sql-synthesizer-skill)

## 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": "alpha-park-genpark-natural-language-cte-sql-synthesizer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-natural-language-cte-sql-synthesizer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-natural-language-cte-sql-synthesizer-skill/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