duckdb
CommunityIn-process SQL analytics on data.
Authorsilvainfm
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables fast, in-process SQL analytics directly on data files (CSV, Parquet, JSON) and Python DataFrames (pandas, Polars) without loading data into memory or running a separate database server.
Core Features & Use Cases
- Direct file analytics: Run SQL queries on data files (CSV, Parquet, JSON) without importing.
- DataFrame SQL: Query pandas or Polars DataFrames via SQL for seamless analytics workflows.
- Advanced analytics: Use joins, aggregations, window functions, and CTEs on mixed data sources.
- Ad-hoc exploration: Quickly explore datasets and generate insights without heavy setup.
Quick Start
Use this skill to run a simple SQL query on a CSV file, for example: SELECT category, AVG(price) AS avg_price FROM 'sales.csv' GROUP BY category
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: duckdb Download link: https://github.com/silvainfm/claude-skills/archive/main.zip#duckdb Please download this .zip file, extract it, and install it in the .claude/skills/ directory.