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SkillsMP a collecté 76 skills depuis uw-ssec/rse-plugins. Ouvrez un skill pour examiner sa source et ses détails.
uw-ssec/rse-pluginsAffichage de 36 skills collectés sur 76.
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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…
Langue du texte source : anglais
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,…
Langue du texte source : anglais
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…
Langue du texte source : anglais
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,…
Langue du texte source : anglais
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.
Langue du texte source : anglais
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…
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Generate structured benchmark reports with configuration comparisons, performance bias analysis, ranked recommendations, and trade-off explanations from Zarr chunking benchmark results.
Langue du texte source : anglais
Safely apply chunking configurations to Zarr datasets with validation, progress reporting, memory-bounded execution, and rollback safety. Supports local and cloud storage backends.
Langue du texte source : anglais
Generate synthetic Zarr datasets with configurable dimensions, shapes, data types, and compression for controlled chunking benchmarks. Supports local and cloud storage backends (S3, GCS).
Langue du texte source : anglais
Docker Compose patterns for multi-service research applications including web APIs, databases, message queues, Jupyter notebooks, and development workflows.
Langue du texte source : anglais
Container image publishing to GHCR, Docker Hub, ECR, and ACR with CI/CD automation, image tagging strategies, and multi-architecture builds.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Development container configuration for VS Code and GitHub Codespaces including devcontainer.json, features, multi-container setups, and language-specific templates for reproducible research environments.
Langue du texte source : anglais
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++.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Rootless container management with Podman including Docker CLI compatibility, systemd integration, pod management, Quadlet, and Podman Compose for research environments.
Langue du texte source : anglais
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…
Langue du texte source : anglais
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…
Langue du texte source : anglais
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,…
Langue du texte source : anglais
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…
Langue du texte source : anglais
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…
Langue du texte source : anglais
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,…
Langue du texte source : anglais
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…
Langue du texte source : anglais
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,…
Langue du texte source : anglais
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…
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais