explore-data
Profile and explore a dataset to understand its shape, quality, and patterns
by anthropicsFree
Description
explore-data is a command from Anthropic's knowledge-work plugins, listed on skills.sh. It profiles a dataset to understand its shape, quality and patterns before any analysis begins. It is used when a new table or file is encountered, to check null rates, column distributions and the way the data is structured. The command is run with /explore-data followed by a table name or a file. Its workflow starts by accessing the data: if a data warehouse connection is available, the command reads the table through it, and otherwise it works from an uploaded file. A connectors guide explains which tools are connected. It suits analysts who receive unfamiliar data and want to know what is in it, where its gaps are, and whether it can be trusted, before they answer any question with it.…
Highlights
- Profiles shape, quality and patterns
- Null rates and column distributions
- Works from a warehouse table or a file
- Run before analysis starts
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explore-data FAQ
What does explore-data do?
It profiles a table or file to show its shape, quality and patterns before analysis.
How do I install it?
Run: npx skills add https://github.com/anthropics/knowledge-work-plugins --skill explore-data
How do I use it?
Run /explore-data with a table name or an uploaded file.
What does it check?
Shape, quality and patterns, including null rates and column distributions.
Has it been checked for security?
skills.sh lists three audits: Gen Agent Trust Hub Pass, Socket Pass and Snyk Pass.
What are the best explore-data alternatives?
Popular alternatives to explore-data include clickhouse-io, caveman-explore and receipts. See all explore-data alternatives