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SkillsMP a collecté 76 skills depuis uw-ssec/rse-plugins. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 40 skills collectés sur 76.
This skill should be used when the user asks to "develop a download script", "debug data download", "fix download error", "create data pipeline template", "download template", "GAIA data pipeline", "download from S3", "access Zarr store", "cloud data access",…
Langue du texte source : anglais
HPC containerization with Singularity/Apptainer including definition files, .sif image management, MPI integration, GPU passthrough, Slurm job integration, and Docker image conversion.
Langue du texte source : anglais
Templates and guidance for creating community health files (README, CONTRIBUTING, LICENSE, CODE_OF_CONDUCT, SECURITY, CITATION.cff, issue/PR templates) for open-source research software projects in any language.
Langue du texte source : anglais
Manage scientific Python dependencies and environments with the pixi package manager: create environments, add conda-forge and PyPI packages, define and run tasks, and generate reproducible multi-platform lockfiles. Use when the user mentions pixi, pixi.toml,…
Langue du texte source : anglais
Create and publish distributable scientific Python packages following Scientific Python community best practices. Covers pyproject.toml, src layout, Hatchling, metadata, CLI entry points, and PyPI publishing.
Langue du texte source : anglais
Set up and maintain documentation for scientific Python packages. Covers Sphinx, MkDocs, NumPy-style docstrings, Diataxis framework, accessibility standards, and documentation hosting with Read the Docs.
Langue du texte source : anglais
Use when building a new type scale, converting fixed sizes to fluid clamp() values, choosing or pairing fonts, fixing readability issues (line height, measure, tracking), or encoding typography as design tokens / CSS custom properties.
Langue du texte source : anglais
Use when work context must transfer to another session or person. Triggers: create a handoff, hand off this work, summarize context for the next session, prepare a handoff.
Langue du texte source : anglais
Use when a result, experiment, or analysis must be reproducible by others or by a future session. Triggers: make this reproducible, capture provenance, pin the environment for this result, why can't I reproduce X.
Langue du texte source : anglais
Use when research or scientific code must be trustworthy — verifiably correct, regression-safe, and numerically stable. Triggers: harden this code, is this numerically correct, add regression tests vs known results, make the research code robust.
Langue du texte source : anglais
Use when an approved implementation plan (a docs/rse/specs/plan-*.md file) exists and the next step is writing the code. Triggers: implement the plan, execute the plan, start building, run the plan.
Langue du texte source : anglais
Use when an existing implementation plan needs changes before or during execution. Triggers: update the plan, change the plan, add a phase, revise scope, incorporate experiment results.
Langue du texte source : anglais
Use when a feature, refactor, or multi-file change needs to be designed before coding. Triggers: plan X, design the implementation, how should we build X, create an implementation plan.
Langue du texte source : anglais
Use when you need to understand how an existing codebase works and/or survey external prior work (papers, methods, tools) before planning or changing something. Traces function call paths, maps module dependencies, searches academic papers and documentation,…
Langue du texte source : anglais
Use when the best technical approach is genuinely uncertain and a head-to-head prototype comparison is needed before committing to a design. Triggers: should I use X or Y, compare approaches, benchmark, which is faster or simpler.
Langue du texte source : anglais
Use when starting or continuing ANY research-software task — understanding or modifying code, surveying prior art, planning, experimenting, implementing, validating, reproducing, or hardening — and before reading code to "just check", before editing, or…
Langue du texte source : anglais
Use when an implementation is (claimed) complete and must be checked against its plan before shipping. Triggers: validate the implementation, verify it matches the plan, is the implementation correct, check before PR.
Langue du texte source : anglais
Dependency and lockfile supply-chain security review with 2025–2026 attack campaign patterns. Use when reviewing package.json, pyproject.toml, requirements.txt, pixi.toml, conda-lock.yml, or any lockfile; when evaluating a new dependency for addition; or when…
Langue du texte source : anglais
Ecosystem-specific supply-chain gotchas for npm, PyPI, conda/pixi, cargo, and Go. Use when reviewing package.json + .npmrc, pyproject.toml + setup.py, pixi.toml + conda-lock.yml, Cargo.toml + .cargo/config.toml, or go.mod + GOPROXY config — any time a…
Langue du texte source : anglais
Hardened GitHub Actions release workflow patterns for supply-chain security. Use when reviewing or writing GitHub Actions release workflows (.github/workflows/*.yml). Contains SHA-pinning, OIDC trusted publishing, two-job build/publish split,…
Langue du texte source : anglais
Incident-response runbook for supply-chain compromises. Use when an advisory, CVE, GHSA, or campaign report names a dependency or GitHub Action this project uses; when responding to a Shai-Hulud-style maintainer takeover; or when a TeamPCP-style tag hijack is…
Langue du texte source : anglais
SBOM generation and provenance verification for research software releases. Use when reviewing or writing release workflows that publish to PyPI, npm, GHCR, or similar registries; when verifying a downstream artifact's signatures or attestations; or when…
Langue du texte source : anglais
Supply chain threat posture assessment for projects and packages. Use when reviewing a project's .github/workflows/*.yml, package.json, pyproject.toml, requirements.txt, pixi.toml, or lockfiles for exposure to active 2025–2026 campaigns. Covers Shai-Hulud…
Langue du texte source : anglais
Use when designing or analyzing an A/B test, calculating sample size for an experiment, evaluating whether a variant won, debugging surprising experiment results, or choosing between frequentist and Bayesian analysis for a design change.
Langue du texte source : anglais
Use when auditing a web interface for WCAG 2.2 AA/AAA compliance, fixing reported accessibility violations, verifying ARIA usage, checking keyboard navigation or color contrast, or preparing accessibility documentation for a release.
Langue du texte source : anglais
Use when defining a brand color palette, generating accessible shade scales, mapping semantic color tokens, building dark mode variants, or validating WCAG contrast compliance across a color system.
Langue du texte source : anglais
Use when implementing or extending a shared component library — scaffolding new components with CVA variants, writing Storybook stories, wiring visual regression, or auditing existing components for state and a11y coverage.
Langue du texte source : anglais
Use when starting a new frontend project and choosing a CSS approach, refactoring inconsistent CSS, hitting specificity wars, integrating a component library, adding theming/dark mode, or deciding between BEM, Tailwind, CSS Modules, or CSS-in-JS.
Langue du texte source : anglais
Use when analyzing a product's UI/UX to extract transferable patterns, benchmarking your own design against a category leader, looking up how a specific product (Stripe, Linear, Notion, Apple, Spotify, Netflix, Tinder, Airbnb, etc.) solves a design problem,…
Langue du texte source : anglais
Use when packaging a design for developer implementation, writing component specifications, running design QA against a built UI, exporting assets from Figma, or resolving design-vs-code drift before a release.
Langue du texte source : anglais
Use when running a heuristic evaluation, structuring a design critique, selecting which design framework to apply for a given project context, or auditing a UI against Gestalt/Nielsen/Rams principles.
Langue du texte source : anglais
Use when bootstrapping a new design system from scratch, auditing an existing UI for systemization, setting up Storybook + Style Dictionary scaffolding, or defining governance and versioning for a shared component system.
Langue du texte source : anglais
Use when implementing or refactoring design tokens, setting up Style Dictionary, defining a three-tier token architecture, wiring multi-platform output (web/iOS/Android), or auditing existing tokens for naming and reference integrity.
Langue du texte source : anglais
Use when implementing or scaffolding a reusable UI component in React, Vue, Svelte, or Web Components/Lit; when porting a design across frameworks; or when a component needs hooks, composables, reactive state, slots, or shadow-DOM encapsulation.
Langue du texte source : anglais
Use when laying out a page or component, choosing between CSS Grid and Flexbox, setting up a column grid, aligning nested components to a parent grid, or building responsive card/dashboard layouts.
Langue du texte source : anglais
Use when structuring a new site/app's content, when users report "I can't find anything," when running a card sort or tree test, or when auditing navigation labels and taxonomy for an existing product.
Langue du texte source : anglais
Use when adding or fixing UI animation, choosing duration/easing for a transition, debugging janky motion, implementing micro-interactions or page transitions, or auditing motion for prefers-reduced-motion compliance.
Langue du texte source : anglais
Use when building or refactoring an interface that must work across phone, tablet, and desktop; setting breakpoints; sizing touch targets; serving responsive images; or testing layout across viewports.
Langue du texte source : anglais
Use when auditing an existing interface for usability issues, when running a heuristic evaluation or cognitive walkthrough, when scoring an SUS survey, or when prioritizing UX bugs by severity.
Langue du texte source : anglais
Use when visualizing a user's end-to-end experience for a specific scenario, identifying pain points and emotion lows, aligning teams on user flow, planning improvements to onboarding/checkout/support, or producing a service blueprint.
Langue du texte source : anglais