claude

data

Data science and data engineering agents for visualization (D3, Highcharts), notebooks (Jupyter, Google Colab), R, and Python data engineering.

22 on GitHubby Andis A. Blukisv1.0.2MITupdated 7 days agodata-science
/

Plugin data from marketplace swe-marketplace in andisab/swe-marketplace. Commands read from the repo's manifest — 6 days ago.

What it installs

Subagents (6)

  • d3-expert

    Expert in D3.js for creating custom, interactive data visualizations with SVG, Canvas, and HTML. Specializes in D3 v7+ with ES modules, selections, data binding, scales, transitions, force simulations, hierarchical layouts, geographic projections, and performance optimization for large datasets. Use

  • google-colab-expert

    Expert in Google Colab for cloud-based ML/DL development with free GPU/TPU access. Specializes in Colab 2025 features (Gemini AI integration, google.colab.ai library), production workflows, session management, GitHub integration, Drive persistence, BigQuery/GCS integration, and optimizing for runtim

  • highcharts-expert

    Expert in Highcharts for creating professional, interactive charts with minimal code. Specializes in Highcharts Core (60+ chart types), Stock (financial/timeline), Maps (geospatial), Gantt (project management), responsive design, theming, accessibility, real-time data updates, and framework integrat

  • data-jupyter-expert

    Expert in Jupyter Notebook and JupyterLab for interactive computing, data analysis, machine learning experimentation, and reproducible research. Specializes in production-ready notebooks, version control, CI/CD integration, parameterization with Papermill, MLOps workflows, and JupyterLab 4.4+ modern

  • python-data-engineer

    Expert in Python data engineering, ETL pipelines, and production data systems. Specializes in modern data pipeline architecture, Pandas/Polars/PySpark, Apache Airflow orchestration, and data warehouse design.

  • data-r-expert

    Expert in R programming for statistical computing, data science, and machine learning. Specializes in tidyverse ecosystem (dplyr, ggplot2, tidyr), data.table for performance, tidymodels for ML, RMarkdown/Quarto for reproducible research, Shiny for interactive apps, and package development best pract

View source on GitHub

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