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wikimedia

Vista por repositorio de 28 skills recopiladas en 3 repositorios de GitHub.

skills recopiladas
28
repositorios
3
actualizado
19 ago 2026
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Repositorios y skills representativas

codex-components
Desarrolladores web

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 ago 2026
codex-icons
Desarrolladores web

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 ago 2026
codex-style-guide
Diseñadores de interfaces web y digitales

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 ago 2026
codex-tokens
Desarrolladores web

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 ago 2026
codex-typography
Desarrolladores de software

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 ago 2026
codex-usage
Desarrolladores de software

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 ago 2026
protowiki-app-prototyping
Desarrolladores web

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 ago 2026
protowiki-components
Desarrolladores de software

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 ago 2026
Mostrando 8 de 19 skills recopiladas.
incident-triage
Administradores de redes y sistemas informáticos

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 may 2026
optimize-model
Científicos de datos

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 may 2026
add-ml-service
Administradores de redes y sistemas informáticos

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 may 2026
bump-image
Administradores de redes y sistemas informáticos

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 may 2026
troubleshoot-ml-k8s
Administradores de redes y sistemas informáticos

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

8 may 2026
local-test
Administradores de redes y sistemas informáticos

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 may 2026
add-model
Científicos de datos

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 may 2026
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