# chql-chat

> chql-chat — adamadone-chql-chat. Use this tool when you need to convert natural language queries into DSL queries, leveraging the Convex backend and MCP architecture to streamline complex query processes. It solves problems related to query formulation and execution, accepting natural language inputs and producing DSL queries as outputs. Ideal for use cases where users require an intuitive interface for querying complex data systems, such as git repositories.

Canonical page: https://skillsregistry.net/skills/adamadone-chql-chat  
JSON: https://api.skillsregistry.net/v1/skills/adamadone-chql-chat

## Description

Natural language to DSL query converter with Convex backend and MCP architecture.

## Trust

- **Trust score (0–1):** 0.92
- **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/Adamadone/chql-chat)

## 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": "adamadone-chql-chat"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adamadone-chql-chat` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adamadone-chql-chat/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