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explore-data

Open source alternatives to explore-data

24 open source AI Skills apps to use instead, best rated first.

Top picks

  1. G

    github-ops

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    github-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify

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  2. O

    opensource-pipeline

    Launch

    opensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st

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  3. A

    andrej-karpathy-skills

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    andrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis

    Open source

  4. M

    microsoft/markitdown

    Launch

    markitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve

    Open source

  5. O

    od-contribute

    Launch

    od-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the

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  6. G

    github-deep-research

    Launch

    github-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive

    Open source

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About explore-data

E

explore-data

Profile and explore a dataset to understand its shape, quality, and patterns

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.

View explore-dataAll AI Skills apps
Price
Free
Made by
anthropics
Category
AI Skills
Website
github.com/anthropics/knowledge-work-plugins/explore-data