Claude Skills

Creates GitHub pull requests with properly formatted titles that pass the check-pr-title CI validation. Use when creating PRs, submitting changes for review, or when the user says /pr or asks to create a pull request.

This skill should be used when working with Rust code, reviewing Rust code, managing Rust dependencies, creating Rust projects, or fixing Rust compilation errors. It provides strict coding standards (especially FAIL FAST error handling), workspace architecture guidance, dependency management automation, and common Rust patterns.

Generate intelligent session IDs based on detected content source type.

Create non-generic, high-entropy frontend interfaces using Verbalized Sampling (VS) to break mode collapse and maximize design creativity.

Rephrase or completely rewrite content matching user's preferred tone, voice, and style.

Configure and use automated code quality tools (ruff, mypy, pre-commit) for scientific Python projects. Use when setting up linting, formatting, type checking, or automated quality gates. Ideal for enforcing code style, catching type errors, managing pre-commit hooks, or integrating quality checks in CI/CD pipelines.

Manage scientific Python dependencies and environments using pixi package manager with unified conda-forge and PyPI support. Use when setting up project environments, managing dependencies, creating reproducible workflows, or working with complex scientific packages requiring compiled libraries. Ideal for multi-environment projects, cross-platform development, and replacing conda/mamba workflows.

Master advanced declarative visualization with HoloViews. Use this skill when creating complex multi-dimensional visualizations, composing overlays and layouts, implementing interactive streams and selection, building network or hierarchical visualizations, or exploring data with dynamic maps and faceted displays.

Master geographic and mapping visualizations with GeoViews. Use this skill when creating interactive maps, visualizing point/polygon/line geographic data, building choropleth maps, performing spatial analysis (joins, buffers, proximity), working with coordinate reference systems, or integrating tile providers and basemaps.

Master AI-powered natural language data exploration with Lumen AI. Use this skill when building conversational data analysis interfaces, enabling natural language queries to databases, creating custom AI agents for domain-specific analytics, implementing RAG with document context, or deploying self-service analytics with LLM-generated SQL and visualizations.

Master interactive dashboard and application development with Panel and Param. Use this skill when building custom web applications with Python, creating reactive component-based UIs, handling file uploads and real-time data streaming, implementing multi-page applications, or developing enterprise dashboards with templates and theming.

Work with labeled multidimensional arrays for scientific data analysis using Xarray. Use when handling climate data, satellite imagery, oceanographic data, or any multidimensional datasets with coordinates and metadata. Ideal for NetCDF/HDF5 files, time series analysis, and large datasets requiring lazy loading with Dask.

Work with astronomical data using Astropy for FITS file I/O, coordinate transformations, physical units, precise time handling, and catalog operations. Use when processing telescope images, matching celestial catalogs, handling time-series observations, or building photometry/spectroscopy pipelines. Ideal for astronomy research requiring proper unit handling, coordinate frame transformations, and astronomical time scales.