6 boosters for "data-science" — open source, verified from GitHub, ready to install
This skill guides developers in building LLM-powered applications using Claude and Anthropic SDKs, with smart triggering based on API imports and user intent. Ideal for developers looking to integrate Claude into their projects with language-specific best practices.
Cursor rules that provide AI coding agents with guidance for developing the Streamlit library itself (backend, frontend, protobufs), rather than building Streamlit applications.
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FHIRy is a Python package that converts FHIR healthcare data into pandas DataFrames, enabling data scientists and healthcare developers to perform analytics, machine learning, and AI on standardized health records. It's ideal for researchers and engineers working with health data who need quick, programmatic access to structured clinical datasets.
Automates cleanup of JupyterHub Docker environments by stopping containers and removing orphaned resources. Ideal for data scientists and ML engineers managing local Jupyter development platforms who need to free up disk space and reset their environments.
MCP Analytics provides searchable analytics tools and interactive HTML reports integrated with Claude via the Model Context Protocol, enabling developers to embed data analysis and visualization capabilities into AI-powered applications.
