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wikimedia
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wikimedia

3개 GitHub 저장소에서 수집된 27개 skills를 저장소 단위로 보여줍니다.

수집된 skills
27
저장소
3
업데이트
2026-07-10
저장소 탐색

저장소와 대표 skills

codex-components
소프트웨어 개발자

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, tabs, lookup, etc., or when you're picking between similar components ("Lookup vs TypeaheadSearch?").

2026-07-10
codex-tokens
웹 개발자

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 through [data-theme]. Use when picking a colour / spacing / type value, debugging a dark-mode regression, or asking "what's the token for X?".

2026-07-10
codex-usage
웹·디지털 인터페이스 디자이너

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 when picking UI primitives, importing Codex, asking "should I write custom CSS?", or matching a Figma design with Codex assets.

2026-07-10
protowiki-components
웹 개발자

Catalog of every shipped component in src/components/ — the three single-concern layout wrappers (ChromeWrapper, SpecialPageWrapper, PlainWrapper), the chrome primitives (ChromeHeader, ChromeFooter), Article surfaces (`ArticleWrapper` + `ArticleRenderer`, ArticleLive, ArticleSnapshot, ArticleCustom, ArticleHeader), dashboard layout (`Dashboard`, `DashboardModule`), attribution (`AttributionCard`, `useAttributionSignals`), and Search — including hand-authored article HTML in `ArticleRenderer`'s default slot (see `src/prototypes/template-article-custom/`) and newcomer homepage templates (`template-dashboard`, `template-homepage`). Use when picking a wrapper, composing a page, looking up props/slots/events for any ProtoWiki component, or asking "what components does ProtoWiki ship?".

2026-07-10
protowiki-create-prototype
소프트웨어 개발자

How to add a new prototype to ProtoWiki via file-based routing — create a folder under src/prototypes/, register nothing, and the gallery picks it up from definePage meta (category, order, hidden, spotlight). Never AI-generate gallery title or description — ask the author or omit (title falls back to folder name). Use when asked to "build a prototype", "add a new page", "make a demo", or any variant that creates a new prototype experience under src/prototypes/.

2026-07-10
protowiki-getting-started
소프트웨어 개발자

Orientation for the ProtoWiki repo — what it is, the Vite + Vue 3 + Codex + GitHub Pages stack, where code lives, where skills live, and the first thing to do. Use when first opening this repo, when asked "what is ProtoWiki" or "how does this repo work", or when an agent needs a high-level map before doing anything else.

2026-07-10
protowiki-skins
소프트웨어 개발자

How desktop (Vector 2022) vs mobile (Minerva) skins work in ProtoWiki — the boot-time resolution of ?skin= URL param + viewport into a data-skin attribute on <html>, the per-component skin prop for embedding mobile previews on desktop pages, and the read-only useSkin() hook. Use when adding skin-specific styles, embedding a mobile preview, debugging the responsive breakpoint, or wiring a "show mobile" toggle.

2026-07-10
protowiki-theme
소프트웨어 개발자

How light / dark theming works in ProtoWiki — boot-time resolution of ?theme= URL param + prefers-color-scheme into a data-theme attribute on <html>, the runtime-injected Codex token sets scoped to [data-theme], the per-component theme prop for subtree overrides (including full-route demos), and the read-only useTheme() hook. Use when adding theme-specific styles, embedding a dark snippet on a light page, debugging colour cascades, or wiring a "preview in dark" toggle.

2026-07-10
이 저장소에서 수집된 skills 18개 중 상위 8개를 표시합니다.
incident-triage
네트워크·컴퓨터 시스템 관리자

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 — including generic phrasing ("investigate this issue") when context (Phabricator task, pasted alert, log snippet) points at LiftWing, even with no alert string. Always trigger on: LiftWingServiceErrorRate, KubernetesDeploymentUnavailableReplicas, KubernetesPodCrashLooping; any namespace under revscoring*, revertrisk*, articletopic-outlink, or other ML-serve; clusters ml-serve-eqiad, ml-serve-codfw, ml-staging-codfw. SKIP only when modifying code without diagnosing a runtime incident. Pulls Prometheus via Grafana's anonymous datasource proxy; correlates with Gerrit merges in `inference-services` and `deployment-charts` (Phab IDs from `Bug:` footers). Read-only.

2026-05-19
optimize-model
데이터 과학자

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 latency for a model.

2026-05-15
add-ml-service
네트워크·컴퓨터 시스템 관리자

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 inference service for the first time.

2026-05-15
bump-image
네트워크·컴퓨터 시스템 관리자

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 you need to update the corresponding values.yaml file(s) to deploy it.

2026-05-13
troubleshoot-ml-k8s
네트워크·컴퓨터 시스템 관리자

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

2026-05-08
local-test
네트워크·컴퓨터 시스템 관리자

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.

2026-05-07
add-model
데이터 과학자

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.

2026-05-07
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