DuckDB SQL Analytics Agent

Run analytical SQL queries on local files (CSV, Parquet, JSON) using the DuckDB in-process database engine. Enables fast OLAP-style analysis without a server, directly from flat files on disk.

Installation

Use the upstream install or setup path that matches your environment:

• For development, DuckDB requires CMake, Python 3 and a C++17 compliant compiler. In the root directory, run make to compile the sources. For development, use make debug to build a non-optimized de...

Requirements and caveats from upstream:

• DuckDB is available as a standalone CLI application and has clients for Python, [R](https://duckdb.org...

Basic usage or getting-started notes:

• If you want to install DuckDB, please see our installation page for instructions.

• Data Import

• For CSV files and Parquet files, data import is as simple as referencing the file in the FROM clause:

• Source: https://github.com/duckdb/duckdb

• Extracted from upstream docs: https://raw.githubusercontent.com/duckdb/duckdb/HEAD/README.md

Source

• Agent Skill Exchange