# airy

> airy — tinrab-airy. Use this tool when you need to interact with databases using AI, solving problems such as data retrieval and management. It accepts database queries as input and outputs relevant data, providing a user-friendly interface for database interactions. Ideal for use cases where automated data analysis and retrieval are required, such as data science and development projects.

Canonical page: https://skillsregistry.net/skills/tinrab-airy  
JSON: https://api.skillsregistry.net/v1/skills/tinrab-airy

## Description

An AI tool for interacting with databases.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **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/tinrab/airy)

## 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": "tinrab-airy"
    }
  }
}
```

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