Uw Ssec Rse Plugins
uw-ssec-rse-plugins is a Claude Code plugin for the Build phase that bundles eight research-software engineering skills for scientific Python, geospatial data, visualization, and project lifecycle.
by uw-ssec · github.com/uw-ssec/rse-plugins
Install UW SSEC research-software engineering plugins so coding agents help with scientific Python, geospatial data, visualization, and RSE project lifecycle.
Add it to Claude Code
Install the plugin in Claude Code. One command, paste-ready.
/plugin install uw-ssec-rse-plugins@uw-ssec/rse-pluginsBuilt to be called by your agent
Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.
Retrieve this entry with skillselion.get_details("plugin:uw-ssec/rse-plugins") and the paste-ready config with skillselion.get_install_config("plugin:uw-ssec/rse-plugins").
What it does
uw-ssec-rse-plugins is a community Claude Code plugin collection from UW SSEC aimed at research software engineering with AI-enabled agents. The bundle spans eight plugins and keywords that read like a scientific computing syllabus: multidimensional arrays, cloud-native storage, chunking and compression, xarray and Zarr workflows, and interactive visualization through the Holoviz ecosystem. It also encodes research-through-design, project lifecycle management, validation, benchmarking, and documentation practices—material solo researchers and small RSE teams need when turning notebooks into maintainable software. Builders working on climate, geospatial, astronomy, or environmental data products can use these plugins to keep agents aligned with domain formats and RSE norms instead of generic web-app advice. It is intermediate to advanced: expect Python, scientific libraries, and comfort with array-centric data models. Install when your product is research software, not a simple CRUD SaaS.
Highlights
- 8-plugin Research Software Engineering bundle for coding agents (uw-ssec/rse-plugins)
- Scientific Python ecosystem coverage: xarray, Zarr, HDF5, NetCDF, Dask, Astropy-adjacent domains
- Holoviz stack skills: HoloViews, GeoViews, hvPlot, Panel, Datashader, Bokeh, Lumen dashboards
- Project lifecycle, onboarding, design methodology, and community-health oriented workflows
- Domain tags span climate, hydrology, geospatial, astronomy, and environmental datasets
Why builders use it
Researchers shipping Python software waste time when generic coding agents ignore NetCDF/Zarr realities, Holoviz patterns, and RSE lifecycle expectations.
After you add the plugins, your agent can follow domain-aware RSE guidance across data handling, visualization, documentation, validation, and project handoff.
At a glance
- Type - Plugin in Development Tools.
- Adoption - 0 installs, 20 stars, 0 votes.
FAQ
Who is uw-ssec-rse-plugins for?
It is for research software engineers and solo scientists using coding agents to build, document, and validate Python research applications.
When should I use uw-ssec-rse-plugins?
Use it during Build and early Ship when working with xarray-style data, scientific visualization, cloud-native storage, and formal RSE project practices.
How do I add uw-ssec-rse-plugins to my agent?
Install the eight plugins from the uw-ssec/rse-plugins GitHub repository into Claude Code per repo instructions, then enable skills matching your domain (e.g., geospatial, climate, visualization).
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