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wikimedia

Repository-Ansicht von 28 gesammelten Skills in 3 GitHub-Repositories.

gesammelte Skills
28
Repositories
3
aktualisiert
19. Aug. 2026
Repository-Explorer

Repositories und repräsentative Skills

codex-components
Webentwickler

Catalogue of every Codex Vue component shipped via @wikimedia/codex — what each component is for, the most common props/slots/events, and which ones to reach for in typical Wikipedia UI patterns. Use when you need a button, input, dialog, menu, message, card,…

19. Aug. 2026
codex-icons
Webentwickler

How to use the Codex icon library (@wikimedia/codex-icons) — import a `cdxIcon…` constant, render it through CdxIcon, and look up the right name in the full icon list (references/icons.md) or the upstream catalogue. Covers bidi-aware icons, the langCodeMap…

19. Aug. 2026
codex-style-guide
Web- und digitale Schnittstellendesigner

The Wikimedia / Codex Style Guide — the design-decision companion to the Codex toolkit. Covers the four design principles (Design with Others, For Curious Humans, Trustworthy, Content First), accessibility, bidirectionality, visual styles (colour usage,…

19. Aug. 2026
codex-tokens
Webentwickler

The Codex CSS custom-property design tokens (color, spacing, typography, border, shadow, transition) shipped via @wikimedia/codex-design-tokens — what each token name means, how to use them in templates and CSS, and how the light / dark token sets cascade…

19. Aug. 2026
codex-typography
Softwareentwickler

The single most important text rule in Codex — every piece of text must use exactly ONE of the 9 canonical text styles (Heading 1–4, Body, Small, Figure caption, Block quote, Cite). Each style is a fixed combination of font-family, font-size, font-weight, and…

19. Aug. 2026
codex-usage
Softwareentwickler

How to use the Wikimedia Codex design system in any frontend — prefer Codex Vue components over custom DOM, lean on the bundled tokens / icons / base CSS, match Figma designs by reusing the same Codex assets, and know when (rarely) to write per-app CSS. Use…

19. Aug. 2026
protowiki-app-prototyping
Webentwickler

How to prototype the Wikipedia mobile apps in ProtoWiki — declare `platform: 'app'`, wrap in AppChromeWrapper instead of ChromeWrapper, read articles with `<ArticleLive app>`, and branch iOS vs Android off the app OS preference (`?os=`, `config.appPlatform`,…

19. Aug. 2026
protowiki-components
Softwareentwickler

Catalog of every shipped component in src/components/ — the single-concern layout wrappers (ChromeWrapper, SpecialPageWrapper, PlainWrapper, MobileWrapper), web chrome primitives (ChromeHeader, VectorChromeHeader, MinervaChromeHeader, ChromeFooter), app…

19. Aug. 2026
Es werden 8 von 19 gesammelten Skills angezeigt.
incident-triage
Netzwerk- und Computersystemadministratoren

Triage Wikimedia ML inference-services incidents at a time T (now or past). TRIGGER on "investigate / triage / debug / post-mortem / what happened" when the subject is a LiftWing alert, ML-serve namespace, error spike, latency regression, or pod crash —…

19. Mai 2026
optimize-model
Datenwissenschaftler

Analyze a model server's Python code and its deployment chart to identify performance bottlenecks and optimization opportunities for CPU and GPU (AMD MI300X, ROCm, vLLM) inference services on KServe. Use when you want to improve inference throughput or…

15. Mai 2026
add-ml-service
Netzwerk- und Computersystemadministratoren

Scaffold a new LiftWing ML service in operations/deployment-charts. Handles both adding to an existing namespace (append inference_services entry) and creating a brand-new namespace (full helmfile scaffold). Use when an engineer wants to deploy a new…

15. Mai 2026
bump-image
Netzwerk- und Computersystemadministratoren

Bump the Docker image tag for one or more LiftWing inference services in operations/deployment-charts after a new image is published by Jenkins. Use when a patch has merged in inference-services, PipelineBot has posted a new image tag on the Gerrit CL, and…

13. Mai 2026
troubleshoot-ml-k8s
Netzwerk- und Computersystemadministratoren

Help pinpoint why a Wikimedia ML KServe/Knative InferenceService deployment is not working on ml-serve or ml-staging Kubernetes clusters.

8. Mai 2026
local-test
Netzwerk- und Computersystemadministratoren

Build and run a model server locally via Docker Compose, then test it with curl. Use when the engineer wants to test a model server locally before committing.

7. Mai 2026
add-model
Datenwissenschaftler

Scaffold a new KServe model server from scratch — create the model.py, Blubber config, Docker Compose service, pipeline config, and CI wiring. Use when the engineer wants to add a new inference service model to this repo.

7. Mai 2026
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