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3 件の GitHub リポジトリにある 27 件の収集済み skills をリポジトリ単位で表示します。

収集済み skills
27
リポジトリ
3
更新
2026-07-10
リポジトリエクスプローラー

リポジトリと代表的な skills

codex-components
ソフトウェア開発者

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
ウェブ開発者

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
ウェブ・デジタルインターフェースデザイナー

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
ウェブ開発者

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
ソフトウェア開発者

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
ソフトウェア開発者

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
ソフトウェア開発者

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
ソフトウェア開発者

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
このリポジトリの収集済み skills 18 件中、上位 8 件を表示しています。
incident-triage
ネットワーク・コンピュータシステム管理者

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
データサイエンティスト

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
ネットワーク・コンピュータシステム管理者

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
ネットワーク・コンピュータシステム管理者

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
ネットワーク・コンピュータシステム管理者

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
ネットワーク・コンピュータシステム管理者

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
データサイエンティスト

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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