uw-ssec/rse-plugins - 2ページ

user-research

Use when planning or running user interviews, building personas or JTBD job stories, designing a competitive audit, synthesizing research data, or framing insights and How-Might-We questions for ideation.

原文の言語: 英語

ux-writing

Use when writing or auditing UI copy — button labels, error messages, empty states, onboarding flows, confirmation dialogs, tooltips, success toasts — or when establishing voice and tone documentation for a product.

原文の言語: 英語

visual-design

Use when designing or coding a new interface that needs a distinctive aesthetic direction, when reviewing visuals for hierarchy/brand alignment, or when an existing UI feels generic ("AI slop") and needs production-grade visual polish.

原文の言語: 英語

wireframing

Use when sketching a new screen before visual design, when restructuring an existing page's content priority, when validating layout feasibility with engineering, or when communicating responsive behavior across breakpoints.

原文の言語: 英語

user-persona-discovery

Creative user persona discovery through ideation and exploration. Use for open-ended brainstorming sessions to elucidate and reveal user personas for cultural probes in research through design. This is useful for settings for thinking about a range of user…

原文の言語: 英語

cloud-storage-backends

Configure Zarr stores on cloud object storage services. Covers S3, GCS, Azure Blob backends via fsspec (s3fs, gcsfs, adlfs), the high-performance Rust-based obstore library, Icechunk for versioned cloud storage, authentication patterns, caching strategies,…

原文の言語: 英語

compression-codecs

Configure and optimize compression for Zarr arrays. Covers all numcodecs compressors (Blosc, Zstd, LZ4, Gzip, LZMA, BZ2), pre-compression filters (Delta, Quantize, FixedScaleOffset, PackBits), codec pipelines, Blosc thread safety, and the trade-offs between…

原文の言語: 英語

data-migration

Migrate data between formats with a focus on converting HDF5 and NetCDF datasets to Zarr. Covers xarray-based conversion, direct zarr.copy operations, VirtualiZarr for reference-based virtual Zarr stores, kerchunk for legacy workflows, validation strategies,…

原文の言語: 英語

zarr-fundamentals

Work with the Zarr array storage format for chunked, compressed, N-dimensional arrays. Covers array creation, hierarchical groups, metadata/attributes, advanced indexing modes, data types, thread/process safety, sharding, and Zarr v2 vs v3 differences.

原文の言語: 英語

zarr-xarray-integration

Integrate Zarr with xarray and Dask for labeled, multi-dimensional scientific data workflows. Covers reading and writing Zarr stores with xarray, append and region-write operations, multi-file virtual datasets, Dask chunk alignment with Zarr chunks, encoding…

原文の言語: 英語

access-pattern-analysis

Identify, formalize, and prioritize data access patterns for multi-dimensional Zarr datasets. Translates user workflow descriptions into benchmark-ready pattern definitions with xarray operation mappings.

原文の言語: 英語

chunking-strategy

Benchmark and optimize Zarr chunking strategies for multi-dimensional scientific datasets. Measures wall-clock time, peak memory, and I/O metrics across spatial, time-series, and spectral access patterns following Nguyen et al. (2023) methodology.

原文の言語: 英語

performance-reporting

Generate structured benchmark reports with configuration comparisons, performance bias analysis, ranked recommendations, and trade-off explanations from Zarr chunking benchmark results.

原文の言語: 英語

rechunking

Safely apply chunking configurations to Zarr datasets with validation, progress reporting, memory-bounded execution, and rollback safety. Supports local and cloud storage backends.

原文の言語: 英語

synthetic-data

Generate synthetic Zarr datasets with configurable dimensions, shapes, data types, and compression for controlled chunking benchmarks. Supports local and cloud storage backends (S3, GCS).

原文の言語: 英語

compose-orchestration

Docker Compose patterns for multi-service research applications including web APIs, databases, message queues, Jupyter notebooks, and development workflows.

原文の言語: 英語

container-registries

Container image publishing to GHCR, Docker Hub, ECR, and ACR with CI/CD automation, image tagging strategies, and multi-architecture builds.

原文の言語: 英語

container-security

Container security scanning with Trivy and Grype, image hardening, supply chain security with SBOM generation, signing with cosign, and CI integration for automated vulnerability detection.

原文の言語: 英語

devcontainers

Development container configuration for VS Code and GitHub Codespaces including devcontainer.json, features, multi-container setups, and language-specific templates for reproducible research environments.

原文の言語: 英語

dockerfile-patterns

Core Dockerfile best practices including multi-stage builds, layer caching, security hardening, base image selection, and language-specific patterns for Python, Node, Rust, R, Go, Julia, and C/C++.

原文の言語: 英語

gpu-containers

GPU-enabled container configuration for NVIDIA CUDA and AMD ROCm workloads including driver compatibility, runtime setup, multi-GPU, and framework-specific images for PyTorch and TensorFlow.

原文の言語: 英語

podman

Rootless container management with Podman including Docker CLI compatibility, systemd integration, pod management, Quadlet, and Podman Compose for research environments.

原文の言語: 英語

advanced-rendering

Master high-performance rendering for large datasets with Datashader. Use this skill when working with datasets exceeding 100M+ points, optimizing visualization performance, or implementing efficient rendering strategies with rasterization and colormapping…

原文の言語: 英語

colormaps-styling

Master color management and visual styling with Colorcet. Use this skill when selecting appropriate colormaps, creating accessible and colorblind-friendly visualizations, applying consistent themes, or customizing plot aesthetics with perceptually uniform…

原文の言語: 英語

data-visualization

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,…

原文の言語: 英語

geospatial-visualization

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…

原文の言語: 英語

lumen-ai

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…

原文の言語: 英語

lumen-dashboards

Master declarative, no-code data dashboards with Lumen YAML specifications. Use this skill when building standard data exploration dashboards, connecting multiple data sources (files, databases, APIs), creating interactive filters and cross-filtering,…

原文の言語: 英語

panel-dashboards

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…

原文の言語: 英語

parameterization

Master declarative parameter systems with Param for type-safe configuration. Use this skill when building parameterized classes with automatic validation, creating reactive dependencies with @param.depends, implementing watchers for side effects,…

原文の言語: 英語

plotting-fundamentals

Master quick plotting and interactive visualization with hvPlot. Use this skill when creating basic plots (line, scatter, bar, histogram, box), visualizing pandas DataFrames with minimal code, adding interactivity and hover tools, composing multiple plots in…

原文の言語: 英語

documentation-validation

Documentation quality assurance tools and strategies for research software projects. Covers prose linting (Vale), link checking (HTMLProofer), Markdown validation (markdownlint), code example testing, container-based instruction validation, and CI integration.

原文の言語: 英語

astropy-fundamentals

Work with astronomical data using AstroPy for FITS file I/O, coordinate transformations, physical units, precise time handling, catalog cross-matching, photutils photometry, and specutils spectroscopy.

原文の言語: 英語

xarray-for-multidimensional-data

Work with labeled multidimensional arrays for scientific data analysis using Xarray. Covers NetCDF/HDF5/Zarr I/O, Dask integration for large datasets, DataTree, and geospatial raster operations with rioxarray.

原文の言語: 英語

code-quality-tools

Configure and use automated code quality tools (ruff, mypy, pre-commit) for scientific Python projects. Covers linting rules, type checking configuration, formatting, and CI integration.

原文の言語: 英語

python-testing

Write and organize tests for scientific Python packages using pytest. Covers fixtures, parametrization, numerical testing with NumPy utilities, property-based testing with Hypothesis, and CI integration.

原文の言語: 英語