chdb-datastore
Use when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas. Provides chDB DataStore — same pandas API, ClickHouse engine underneath. Also handles reading from S3, MySQL, PostgreSQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake as DataFrames and joining across sources. TRIGGER when: user mentions DataFrame, parquet, csv, "fast pandas", "speed up pandas", or cross-source DataFrame joins; user imports `chdb.datastore` or `from datastore import DataStore`. SKIP this skill for raw SQL syntax (use chdb-sql instead), ClickHouse server administration, or non-Python DataStore API work.
A bundle nobody here opened
Its publisher serves this as an archive. Nothing in this catalog fetches it, unpacks it or looks inside, so everything on this page is what its publisher says it holds, and no more.
Skill
These are the publisher's own words, read from what they serve at their own address.
The publisher's own address
https://clickhouse.com/.well-known/agent-skills/chdb-datastore.tar.gz
This catalog links to it and never serves a copy, so what you get is whatever clickhouse.com is serving now.
What its publisher says you would ask it
- join MySQL and Postgres data in Python without a server
- query parquet files in S3 as a pandas DataFrame
- speed up my slow pandas code on a large dataset