DuckDB Foundation
Official@duckdb · Amsterdam, The Netherlands
High-performance analytical database engine optimized for local and cloud-based file processing, schema exploration, and rapid SQL-based data retrieval.
Agent Skills by DuckDB Foundation
Showing 6 vetted skills indexed across 1 GitHub repositories.
install-duckdb
Installs and updates DuckDB CLI extensions from core or community repositories.
spatial
Answer spatial questions with DuckDB spatial extension and Overture Maps data.
query
Execute SQL or natural language queries against DuckDB databases and data files.
read-memories
Search past Claude Code session logs to retrieve context and insights.
read-file
Read CSV, JSON, and Parquet files from local paths or S3 and GCS.
attach-db
Attach DuckDB databases and explore schemas for interactive SQL querying.
Frequently Asked Questions About DuckDB Foundation
FAQPage SchemaWhat specific data formats can be processed using these capabilities?▼
These capabilities support direct reading and querying of CSV, JSON, and Parquet files. Data can be ingested from local file systems or remote object storage buckets, including S3 and GCS, allowing for seamless integration into existing analytical environments without requiring complex data migration.
Which technical personas benefit most from these database capabilities?▼
Data engineers, analysts, and researchers benefit most from these capabilities. The functionality is designed for professionals who require rapid, local-first SQL execution on large datasets, schema inspection for relational databases, and the ability to extract insights from structured session logs or distributed file storage.
What are the primary prerequisites for running these database operations?▼
The primary prerequisite is an environment capable of executing the database engine binary. Users must ensure local or network access to the target data files, such as Parquet or JSON, and possess valid credentials if accessing private S3 or GCS buckets for remote file retrieval.