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exploratory-data-analysis

Open source alternatives to exploratory-data-analysis

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

    Open source

  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 exploratory-data-analysis

E

exploratory-data-analysis

Perform comprehensive exploratory data analysis on scientific data files across

exploratory-data-analysis is an agent skill from the davila7 claude-code-templates collection, listed on skills.sh. It performs an exploratory data analysis of scientific data files across more than 200 file formats, in several domains. The skill detects the type of each file automatically, then runs analysis specific to that format, extracting metadata and assessing data quality and integrity. It reports statistical summaries and distributions, suggests visualisations and points to downstream analyses that the data could support. The results are written as a markdown report, which is suitable for documentation and for planning the next analysis. The skill's own text says when to use it, so the agent loads it for work on scientific data files rather than for general coding. It suits researchers and data scientists who receive an unfamiliar scientific data file and need a first report on what is in it before they start modelling.

View exploratory-data-analysisAll AI Skills apps
Price
Free
Made by
davila7
Category
AI Skills
Website
github.com/davila7/claude-code-templates/exploratory-data-analysis