「eac」の検索結果

Internationalize JavaScript apps with i18next. Use when adding translations, handling plurals, loading locale files dynamically, or i18n for React/Vue/Node.

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。

React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.

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。

Dispatch an explicit, user-dictated set of edits that spans TWO OR MORE zones of the GDD — the master spec, systems, content types, and flows — in one ordered pass. Writes nothing itself: it resolves each delta to its (target, zone), orders them so a system change lands before the content or flow that depends on it, delegates each to the owning skill (/unikit-gd-spec, /unikit-gd-system, /unikit-gd-content, /unikit-gd-flow), and closes with one /unikit-gd-verify pass. Use when you already know the changes and they touch more than one part of the design, e.g. "apply these GDD changes", "update the combat system and its loot and the boss flow". It also takes a /unikit-gd-review report file (applies its apply-ready bucket), and a bare /unikit-gd-apply reads the last /unikit-gd-verify output in the session. For a single-zone change call its owner directly; to research an open question use /unikit-gd-explore first.

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。

Enrich customer/lead profiles with business data using [LeadIQ](https://composio.dev/toolkits/leadiq), [RocketReach](https://composio.dev/toolkits/rocket-reach), or [Clearout](https://composio.dev/toolkits/clearout)

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。

Set up customer outreach sequences via [Lemlist](https://composio.dev/toolkits/lemlist), [Reply.io](https://composio.dev/toolkits/reply-io), or [Woodpecker](https://composio.dev/toolkits/woodpecker-co)

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。

Adopt declscope on an existing Go codebase and drive its diagnostics to zero. Read this when introducing declscope to a repository, when choosing its configuration, when running declscope shrink for the first time, or when clearing a declscope baseline. Covers sizing each rule before enabling it, reading the diagnostics as structure, the remedy for each shape, and the measurement traps that produce false confidence. For writing new code in a repository that already runs declscope, use declscope-authoring.

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。

Mobile-first design thinking and decision-making for iOS and Android apps. Touch interaction, performance patterns, platform conventions. Teaches principles, not fixed values. Use when building React Native, Flutter, or native mobile apps.

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 video compositions, animations, title cards, overlays, captions, voiceovers, audio-reactive visuals, and scene transitions in HyperFrames HTML. Use when asked to build any HTML-based video content, add captions or subtitles synced to audio, generate text-to-speech narration, create audio-reactive animation (beat sync, glow, pulse driven by music), add animated text highlighting (marker sweeps, hand-drawn circles, burst lines, scribble, sketchout), or add transitions between scenes (crossfades, wipes, reveals, shader transitions). Covers composition authoring, timing, media, and the full video production workflow. For dev-loop CLI commands (init, lint, inspect, preview, render) see the hyperframes-cli skill; for asset preprocessing commands (tts, transcribe, remove-background) see the hyperframes-media skill.

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。

Professional typography rules for UI design, web applications, software interfaces, and all screen-based text. Enforces timeless typographic correctness that LLMs consistently get wrong: proper quote marks, dashes, spacing, hierarchy, and layout. ENFORCEMENT MODE: When generating ANY HTML, CSS, React, JSX, or UI code containing visible text, auto-apply every rule in this skill silently — do not ask, do not explain, just produce correct typography. AUDIT MODE: When reviewing or improving existing interfaces or legacy code, flag violations and provide fixes. Trigger on: any HTML/CSS/React artifact creation, "build a landing page", "create a component", "design a UI", "fix the typography", "make this look professional", "review this layout", web design, presentation design, dashboard creation, document generation, or any task producing visible text for humans. Even if the user doesn't mention typography, apply these rules whenever generating UI output.

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。

React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.

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。

Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing depth to web experiences. Use when: 3D website, three.js, WebGL, react three fiber, 3D experience.

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。

Design, implement, and review XState v5 state machines and @xstate/react integrations in TypeScript. Use when modeling finite workflows, async actors, statecharts, guarded transitions, delayed transitions, actor systems, or machine-driven React behavior.

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。

TanStack Query (React Query) best practices for data fetching, caching, mutations, and server state management. Activate when building data-driven React applications with server state.

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。

Best practices for Remotion - Video creation in React

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。

Automate Beaconchain tasks via Rube MCP (Composio). Always search tools first for current schemas.

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。

Automate Beaconstac tasks via Rube MCP (Composio). Always search tools first for current schemas.

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。

Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".

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。

Jetpack Compose navigation expert with type-safe routes, Hilt DI, and MVVM/MVI architecture. Activate on: Jetpack Compose navigation, Compose type-safe routes, Hilt dependency injection, MVVM Android, MVI pattern, Compose state management, NavHost, ViewModel. NOT for: XML layouts (use frontend-architect), iOS SwiftUI (use swiftui-data-flow-expert), React Native (use react-native-architect).

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。

Design deployment-focused distillation systems that balance model size, accuracy, calibration, and cascade escalation under real resource limits. Best for teacher-student compression, threshold design, and failure-aware deployment. Activate on "model compression", "teacher- student", "distillation score", "cascade model", "edge deployment", or "model calibration". NOT for generic deep-learning overviews, prompt optimization, or training work without a concrete distillation objective.

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。

Flutter state management expert with BLoC/Cubit, Riverpod, Provider, and Navigation 2.0 (GoRouter). Activate on: Flutter state management, BLoC pattern, Cubit, Riverpod, Provider, GetX, GoRouter, Flutter navigation, flutter_bloc. NOT for: React Native (use react-native-architect), SwiftUI (use swiftui-data-flow-expert), Jetpack Compose (use jetpack-compose-navigation-expert).

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。

Apply practical DAG decomposition, transitive-edge reduction, and reachability indexing to dense dependency graphs. Use when low width and repeated queries justify preprocessing. NOT for cyclic graphs, one-off graph checks, or exact-minimum-chain requirements.

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。

Generates starter component code using design tokens. Creates React/Vue/Svelte components with proper token usage, variants, and accessibility built in.

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。

Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on "Milkdrop", "music visualization", "WebGL visualizer", "Butterchurn", "audio reactive", "FFT visualization", "spectrum analyzer". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.

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。

Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context windows as data structures. Deep comparison of A2A protocol, MCP, OpenAI function calling, and LangChain message types. Teaches when to use rigid schemas vs free-form with validation, typed vs untyped, streaming vs batch. Activate on: "agent message format", "agent communication schema", "agent-to-agent protocol", "A2A protocol", "MCP message format", "structured output for agents", "agent interop", "interchange format", "agent serialization", "task handoff format", "capability declaration". NOT for: what agents say to each other (use agent-conversation-protocols), orchestration topology (use multi-agent-coordination), building agent infrastructure (use agentic-infrastructure-2026).

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。