「esp」の検索結果

Focused Signals scout for PostHog projects running surveys. Watches active surveys for score regressions (NPS / CSAT / rating drops), response-volume drops, abandonment spikes, and targeting drift, AND aggregates open-text responses into recurring themes the team should know about (clusters of complaints, praise, feature requests). Emits findings only when a theme or anomaly clears the confidence bar; otherwise writes durable memory and closes out empty. Self-contained peer in the signals-scout-* fleet — no dependencies on other skills.

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Guides systematic implementation of new sustainability metrics in OSS Sustain Guard using the plugin-based metric system. Use when adding metric functions to evaluate project health aspects like issue responsiveness, test coverage, or security response time.

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Use when you need to design, review, or improve REST APIs with Quarkus REST (Jakarta REST) — including resource classes, HTTP methods, status codes, request/response DTOs, Bean Validation, exception mappers, optional runtime OpenAPI exposure (SmallRye), contract-first generation from OpenAPI, content negotiation, pagination, sorting and filtering, API versioning, idempotency (Idempotency-Key), optimistic concurrency (ETag / If-Match), HTTP caching (Cache-Control), API deprecation (Sunset / Deprecation headers), RFC 7807 Problem Details, ISO-8601 for time in contracts, and security-aware boundaries. This should trigger for requests such as Review or improve JAX-RS resources in a Quarkus project; Design HTTP APIs with validation and error handling on Quarkus; Add API versioning, idempotency, ETag concurrency, or deprecation headers; Implement pagination, sorting, or RFC 7807 Problem Details error responses. Part of cursor-rules-java project

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Official HeyGen plugin for OpenClaw — adds HeyGen as a first-class provider for the built-in video_generate tool. Identity-first avatar videos: pick an avatar_id, a voice, a script, and get an on-brand presenter video back. Use when: (1) generating a video where a specific avatar/person speaks specific lines, (2) "make a video of me / our brand presenter", (3) outreach, announcements, pitch decks, product walkthroughs, or any presenter-led video, (4) needing landscape or portrait output with deterministic aspect ratios, (5) integrating HeyGen into an OpenClaw agent through the standard provider interface (no bespoke REST glue required). Covers: HeyGen v3 Video Agent (api.heygen.com), avatar-presenter video, identity-preserving video, talking-head AI video, scripted avatar narration, brand spokesperson video. NOT for: cinematic b-roll (use Veo / Runway / Kling), video translation, TTS-only, streaming avatars, or photo-to-talking-head v2 pipelines.

日本語の概要は準備中です。原文の説明を表示しています。

Upstash サーバーレスデータプラットフォームリファレンス。 @upstash/redis — REST API、pipelining、transactions、JSON、Search、グローバルレプリケーション。 @upstash/ratelimit — Fixed Window、Sliding Window、Token Bucket、limit、blockUntilReady。 QStash — publishJSON、schedules、queues、DLQ、URL Groups、callbacks、flow-control。 @upstash/vector — upsert、query、ANN、hybrid index、sparse index、embedding models、namespace。 Rust 製ローカル vector DB エンジン fandhe-db とは別（こちらはマネージド SaaS の JS SDK）。 @upstash/workflow — durable execution、serve、context.run/sleep/call/invoke、waitForEvent、parallel steps、agents。 Upstash Search — search、upsert、fetch、range、filtering、reranking、algorithm、@upstash/search。 Upstash Box — サンドボックス、agent、filesystem、git、browser（CDP/AI actions/recordings）、network policy、snapshots、schedules。

Windows アプリ開発 (Win32 / WPF / WinForms 相互運用) の相互運用・近代化リファレンス。 Win32 API, CreateWindowExW, WNDPROC, メッセージループ, COM (IUnknown, CoCreateInstance, ComPtr), CsWin32, windows-rs, C++/WinRT (winrt::com_ptr, IAsyncOperation, IDL, ABI 相互運用), C#/WinRT (cswinrt, ComWrappers, AOT/trimming, WindowNative), XAML Islands (DesktopWindowXamlSource, DesktopChildSiteBridge, WindowsXamlManager), WPF/WinForms 相互運用 (HwndHost, HwndSource, WindowsFormsHost, ElementHost), UWP から Windows App SDK / WinUI 3 への 移行 (namespace mapping, AppWindow, DispatcherQueue, .NET Upgrade Assistant)。

OpenAI API (developers.openai.com) の画像・動画生成リファレンス。 image generation（gpt-image, Images API `images.generate` / `images.edit`）、 image edit（mask, reference images）、image generation tool（Responses API 組み込み）、 vision（画像入力, image tokens, vision fine-tuning）、 video generation（Sora, `sora-2` / `sora-2-pro`, videos エンドポイント）、 extend / edits, characters。

OpenAI API (developers.openai.com) の Responses API リファレンス。 text generation, embeddings, structured outputs, streaming, function calling, programmatic tool calling, conversation state, prompt caching, reasoning models, background mode, compaction, multi-agent。 webhooks, error codes, rate limits, Realtime API server controls。 公式 SDK (Python / JavaScript(JS) / .NET / Java / Go / Ruby), openai CLI。 Chat Completions / Assistants からの移行, deprecations。

GitHub 公式ドキュメント リファレンス。 REST API、GraphQL API、GitHub Actions (workflow, jobs, steps, expressions)、 Webhooks、GitHub Apps、gh CLI、認証 (PAT / GITHUB_TOKEN / OAuth Apps)、 pull requests, issues, projects (Projects v2), releases, Codespaces, Packages, Copilot API, security (code scanning / secret scanning / Dependabot), activity (events / notifications)。

Motion アニメーションライブラリ (旧 Framer Motion) リファレンス。 React コンポーネント motion, AnimatePresence, AnimateView, LayoutGroup, LazyMotion, MotionConfig, Reorder。hooks useAnimate, useScroll, useSpring, useTransform, useMotionValue, useInView。 vanilla JS API animate, scroll, inView, hover, press, stagger, spring, timeline, motionValue。Vue 版 (motion-v) v-motion ディレクティブ, useScroll 等の composable, Motion+ 限定コンポーネント (Carousel, Cursor, Ticker, Typewriter, AnimateNumber)。transitions / layout / drag / gestures / SVG / scroll アニメーション、accessibility, performance, bundle 最適化, troubleshooting。

AppKit macOS ネイティブ UI フレームワークリファレンス。 NSApplication, NSWindow, NSViewController, NSView, NSMenu, NSToolbar, NSTableView, NSOutlineView, NSCollectionView, NSControl, NSStackView, NSScrollView, Diffable Data Source, target-action, responder chain。

Android アプリ開発 (Kotlin) のテストリファレンス。JUnit4, Espresso, テストピラミッド。 テストダブル, Mockito, MockK, Truth, Robolectric, coroutines/Flow/ViewModel テスト。 AndroidJUnit4, ActivityScenario, FragmentScenario, UiAutomator, AndroidTestOrchestrator。 createComposeRule, Compose UI テスト同期。

EditorConfig (エディタ設定統一フォーマット) リファレンス。 .editorconfig ファイル、glob パターン、root、 indent_style / indent_size / tab_width、end_of_line, charset、 trim_trailing_whitespace, insert_final_newline, max_line_length。

visionOS / iOS 空間コンピューティングリファレンス。RealityKit、ARKit、visionOS SwiftUI API。 Entity, ModelEntity, AnchorEntity, Component, RealityView, MeshResource, Material, System, EntityAction, GaussianSplatComponent, ComputeGraphComponent, PhysicsJointsComponent, ForceEffectComponent, ClothBodyComponent, NavigationComponent, NavigationMeshComponent, NavigationController, ImmersiveSpace, ImmersionStyle, Model3D, WindowGroup, VolumetricWindowStyle, ObjectTrackingProvider, RoomTrackingProvider, ARSession, ARWorldTrackingConfiguration, ARKitSession, WorldTrackingProvider, HandTrackingProvider, SceneReconstructionProvider。

CodeConductor pagespeed workflow

日本語の概要は準備中です。原文の説明を表示しています。

Audits Tailwind CSS usage ensuring mobile-first responsive utilities and clean classes.

日本語の概要は準備中です。原文の説明を表示しています。

Web Performance Engineering — analyzes Core Web Vitals using the PageSpeed Insights API (PSI v5) and applies the 80/20 principle: identify the 20% of changes that produce 80% of the performance gain. Produces a prioritized markdown report with quantified estimates and framework-specific code. Trigger: When auditing page speed, analyzing Core Web Vitals, or optimizing web performance for any URL.

日本語の概要は準備中です。原文の説明を表示しています。

Audit web pages for performance optimization following PageSpeed Insights guidelines. Use when analyzing page performance, optimizing web applications, reviewing performance metrics, implementing Core Web Vitals improvements, or when the user mentions page speed, performance optimization, Lighthouse scores, or Core Web Vitals.

日本語の概要は準備中です。原文の説明を表示しています。

Use when generating REST controllers, response wrappers, DTOs, error handlers, or any HTTP-facing code. Defines response envelope, HTTP status mapping, pagination, and versioning.

日本語の概要は準備中です。原文の説明を表示しています。

Advogado especialista em todas as areas do Direito brasileiro: familia, criminal, trabalhista, tributario, consumidor, imobiliario, empresarial, civil e constitucional.

日本語の概要は準備中です。原文の説明を表示しています。

Responde dimensão, proporção, área segura, tipografia mínima e contagem de slides por plataforma. Use quando o usuário perguntar "qual o tamanho", "que dimensão", "quantos slides", "área segura", "cabe texto onde", "especificação do formato", ou quando outra skill precisar validar medidas. Fonte única desses números.

日本語の概要は準備中です。原文の説明を表示しています。

Create consistent, scalable design systems using Tailwind CSS utility classes with custom themes, design tokens, and responsive design patterns. Use when building design systems, implementing custom themes, creating reusable utility patterns, configuring Tailwind theme extensions, implementing dark mode, building responsive layouts, creating design tokens, using arbitrary values, or establishing consistent spacing and typography scales.

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Score LLM and agent outputs using LLM-as-judge techniques — direct scoring against rubrics or pairwise comparison between two outputs. Includes built-in bias mitigation for position bias, length bias, and self-enhancement bias. Load when the user asks to score an output, judge a response, evaluate against a rubric, compare two outputs, do direct scoring, run pairwise comparison, or says "rate this", "which response is better", "score this against the rubric", "judge this output", "LLM as judge this". Sub-skill of eval-output orchestrator.

日本語の概要は準備中です。原文の説明を表示しています。

Orchestrator for the eval-output skill suite — evaluate LLM and agent outputs for quality, accuracy, helpfulness, and safety using structured rubrics and LLM-as-judge techniques. Load when the user says "evaluate this output", "score this response", "run an eval", "LLM as judge", "evaluate agent output", "how good is this response", "rate this answer", "eval this", or provides an LLM output that should be assessed for quality. Single entry point for all output evaluation workflows.

日本語の概要は準備中です。原文の説明を表示しています。