How does it handle file paths?

It uses verified absolute paths to ensure that Claude can reliably find and interact with database files across different directories without manual searching.

Does this skill support SQL queries?

Yes, it includes a 'Quick CLI' section with pre-formatted DuckDB commands for listing tables, querying repositories, and checking data counts.

What is the 'Hatchery' series mentioned in the skill?

The Hatchery series consists of specialized DuckDB databases covering scientific domains like geometry, topology, probability, and category theory.

What is the primary purpose of Duck Agent?

Duck Agent is designed to provide quick, verified access to a variety of DuckDB databases and code libraries, specifically within the IES (Integrated Ecosystem) environment.

Can I use this for Python data analysis?

Yes, the skill explicitly indexes Python utility libraries used for production ingestion and incremental synchronization within the DuckDB ecosystem.

Duck Agent

Name: Duck Agent
Author: plurigrid

byplurigrid

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Database Management

Streamlines the discovery, access, and querying of local DuckDB databases and associated Python utility libraries.

About

Duck Agent is a specialized utility for Claude Code designed to manage complex DuckDB ecosystems with verified absolute paths. It provides a centralized index for diverse datasets, including the 'Hatchery' series for scientific modeling, music topologies, and GitHub interaction data. By offering pre-configured CLI shortcuts and linking directly to production ingestion pipelines, this skill allows researchers and developers to bypass manual path finding and jump straight into data analysis. It also features advanced mathematical integration with graph theory and category theory frameworks for sophisticated data modeling tasks.

Key Features

Quick-access CLI shortcuts for table inspection and data querying
2 GitHub stars
Advanced support for graph theory and Cat# compositional coherence
Verified absolute path mapping for high-performance DuckDB access
Seamless integration with Python-based DuckDB utility libraries
Comprehensive indexing of specialized 'Hatchery' scientific databases

Use Cases

Navigating and querying large-scale local DuckDB indices like the master hatchery
Automating data ingestion and synchronization using verified utility scripts
Managing complex topological and algebraic data structures within a scientific workflow

About

Key Features

Quick-access CLI shortcuts for table inspection and data querying
2 GitHub stars
Advanced support for graph theory and Cat# compositional coherence
Verified absolute path mapping for high-performance DuckDB access
Seamless integration with Python-based DuckDB utility libraries
Comprehensive indexing of specialized 'Hatchery' scientific databases

Use Cases

Navigating and querying large-scale local DuckDB indices like the master hatchery
Automating data ingestion and synchronization using verified utility scripts
Managing complex topological and algebraic data structures within a scientific workflow