If you use pandas to work with tables of data, you might have noticed it can be slow on large files. This skill gives you a drop-in replacement that runs much faster. It uses the ClickHouse engine under the hood but keeps the same pandas commands you already know.
You can read data from many places like parquet files, CSV, JSON, or databases such as MySQL and PostgreSQL. Then you can filter, group, sort, and join tables just like before. The big difference is speed. Your code runs much faster without any new syntax to learn.
This tool is great for anyone who does data analysis in Python and wants to handle bigger datasets without rewriting their scripts. Just change your import line and keep working.
Global
mkdir -p ~/.claude/skills/chdb-datastoreProject
mkdir -p .claude/skills/chdb-datastoreSource Repository
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