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Data Directory

Query these datasets with Claude

Install a skill and Claude can query this data directly with DuckDB — the catalogs, the schemas and the query patterns, with nothing between it and the files.

For your AI agentRecommended

npx skills add your-org/data-directory

Installs the query-datasets skill — the catalog URLs, the schemas and the query patterns — into Claude Code, Codex or any agent that reads skills.

For your machine

curl -fsSL https://data.bunnytech.app/skill.sh | sh

Checks for the DuckDB CLI, writes a ./datadirectory/ folder with an attach script and per-dataset notes, then connects to all 2 published catalogs and prints the schema it finds. It never installs anything without asking.

Both end up in the same place. Read the script before you run it — it is generated from the published manifests, so it cannot describe data that is not there.

Playground

Scoped to Daily city weather forecasts — no other dataset is attached

DuckDB SQL against Daily city weather forecasts, run in this tab straight against object storage. Completion knows the schema — start typing a table name. To work on something else, pick another dataset.

⌘↵
TablesPick columns, then build the query

daily_weather — One row per city per forecast day, as of the run day. A full daily snapshot of the forecast horizon: re-running a day rewrites exactly that day for exactly those cities, so the history of what was forecast when is preserved and comparable.

all 19 columns
Puts it in the editor and runs it, capped at 20 rows
SELECT *
FROM daily_weather
LIMIT 20

Read-only · one statement · capped at 1,000 rows

Immutable, sorted Parquet snapshots. Fastest first query — the browser reads only the row groups it needs.