Skip to content

Explore and analyse a dataset

Load a dataset, explore it in Python or a notebook, and report what you found.

← Analyse dataSkills for Explore and analyse a dataset

Need more than one? The Spreadsheets and data stack — 6 skills for this kind of work, added in one go.

  • explore-data

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

    Why this one: Profiles a new dataset before analysis

    From AnthropicInstructions only
  • exploratory-data-analysis

    Perform bounded, local exploratory analysis of explicitly supported scientific files.

    K-Dense-AIIncludes 13 scripts
  • jupyter-notebook

    Use when the user asks to create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script new_notebook.py to generate a clean…

    From OpenAIIncludes 3 scripts
  • data-scientist

    Expert data processing specialist with intelligent DuckDB/Polars selection for maximum performance.

    code-yeongyuIncludes 5 scripts
  • pandas-construction-analysis

    Comprehensive Pandas toolkit for construction data analysis.

    datadrivenconstructionContacts outside web addresses
  • data-science

    Data science and analytics expertise for statistical analysis, machine learning pipelines, data governance, business intelligence, predictive modeling,…

    travisjneumanInstructions only
  • data-analysis-standard

    Structure a product data analysis, metric deep-dive, funnel analysis, or cohort study.

    mohitagw15856Instructions only
  • operating-kicad-eda

    | Scenario | Use | Approach | |----------|-----|----------| | Create schematic from design doc | Yes | schematic() operations | |…

    telagodInstructions only
  • exploring-data

    Exploratory data analysis.

    oaustegardIncludes 9 scripts
  • fabric-pandas-perf-remediate

    Troubleshoot and optimize pandas performance in Microsoft Fabric Spark notebooks.

    PatrickGallucciIncludes 2 scripts
  • dataframely

    Best practices for polars data processing with dataframely.

    From QuantCoInstructions only
  • dse-loop

    Autonomous design space exploration loop for computer architecture and EDA.

    wanshuiyinInstructions only

See all 22 for “Explore and analyse a dataset”

Connectors for Explore and analyse a dataset

Connectors (MCP servers) link your AI to an outside tool or service — a different kind of add-on from a skill.

  • Camber - Remote Agentic Data Science

    Remote data science agents for Snowflake, Databricks & BigQuery in Claude/Cursor via MCP

    com.cambercloud.camber-mcpConnectorAsks for an API key
  • ai.myriade/myriade

    Explore and query your data warehouse through Myriade's AI data analyst agent.

    ai.myriadeConnectorHosted by the publisher