DuckDB Foundation publishes skills that help AI agents work with data through DuckDB, covering format conversion between CSV, Parquet, JSON, Excel and geospatial files, reading and profiling local and remote datasets, querying attached databases with SQL, exploring object storage such as S3 and R2, searching DuckDB documentation, and installing extensions. Their most popular skills center on practical data-file workflows, with a consistent focus on querying files in place rather than downloading them first.
Duckdb Skills
9 skills · 616 stars · MIT
Attach Db Attach a DuckDB database file for use with /duckdb-skills:query.
Convert CSV and Parquet Files to Excel and GridCraft .xlsx Turn CSV, Parquet, JSON or GeoJSON data into .xlsx, CSV or JSON in one command
Duckdb Docs Search DuckDB and DuckLake documentation and blog posts.
Install Duckdb Install or update DuckDB extensions.
Query Run SQL queries against the attached DuckDB database or ad-hoc against files.
Read File Read any data file (CSV, JSON, Parquet, Avro, Excel, spatial, SQLite) or remote URL (S3, HTTPS).
Read Memories Search past Claude Code session logs to recall prior decisions, patterns, or unresolved work.
S3 Explore Explore and query data on S3, Cloudflare R2, GCS, MinIO, or any S3-compatible storage.
Spatial Answer questions about spatial data using DuckDB.