duckdb
✓Fast in-process analytical database for SQL queries on DataFrames, CSV, Parquet, JSON files, and more. Use when user wants to perform SQL analytics on data files or Python DataFrames (pandas, Polars), run complex aggregations, joins, or window functions, or query external data sources without loading into memory. Best for analytical workloads, OLAP queries, and data exploration.
Installation
SKILL.md
DuckDB is a high-performance, in-process analytical database management system (often called "SQLite for analytics"). Execute complex SQL queries directly on CSV, Parquet, JSON files, and Python DataFrames (pandas, Polars) without importing data or running a separate database server.
See the polars skill for more Polars-specific operations and the references/integration.md file for detailed integration examples.
Fast in-process analytical database for SQL queries on DataFrames, CSV, Parquet, JSON files, and more. Use when user wants to perform SQL analytics on data files or Python DataFrames (pandas, Polars), run complex aggregations, joins, or window functions, or query external data sources without loading into memory. Best for analytical workloads, OLAP queries, and data exploration. Source: silvainfm/claude-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/silvainfm/claude-skills --skill duckdb Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/silvainfm/claude-skills --skill duckdb- Source
- silvainfm/claude-skills
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is duckdb?
Fast in-process analytical database for SQL queries on DataFrames, CSV, Parquet, JSON files, and more. Use when user wants to perform SQL analytics on data files or Python DataFrames (pandas, Polars), run complex aggregations, joins, or window functions, or query external data sources without loading into memory. Best for analytical workloads, OLAP queries, and data exploration. Source: silvainfm/claude-skills.
How do I install duckdb?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/silvainfm/claude-skills --skill duckdb Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/silvainfm/claude-skills
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01