# duckdb

> Use this tool when you need to efficiently manage and analyze large datasets, solving problems related to data querying, filtering, and aggregation. DuckDB provides a columnar database management system, accepting SQL queries as input and returning queried data as output. It is ideal for use cases involving data science, analytics, and scientific computing, particularly when working with Git version control systems.

Canonical page: https://skillsregistry.net/skills/zerople-duckdb  
JSON: https://api.skillsregistry.net/v1/skills/zerople-duckdb

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/zerople/duckdb)

## 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": "zerople-duckdb"
    }
  }
}
```

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