1,844 件 ・ 関連度順
概要と使いどころ
Core firmware context for the Megahub ESP32 project. Use when working on PlatformIO configuration, build scripts, library structure, main.cpp, or general ESP32 firmware development. Covers build system, project structure, common pitfalls, and debugging.
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。
LEGO Powered Up protocol context for the Megahub project. Use when working on LEGO device communication, lpfuart library, UART parsing, motor control, sensor modes, device initialization, or debugging UART noise/corruption issues.
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。
Generate React/Next.js component test skeletons (RTL) from specifications.
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。
Generate generic React component test skeletons (RTL) from specifications.
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。
Documentation conventions for generating high-quality AI agent skills from TypeScript source. Use when preparing a library for skill generation, auditing JSDoc quality, fixing audit warnings, writing @useWhen/@avoidWhen/@never tags, or asking about documentation conventions for skills. Use this even if the user just says 'audit my docs', 'improve my JSDoc', or 'make my skills better'.
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。
Documentation conventions for generating high-quality AI agent skills from TypeScript source. Use when preparing a library for skill generation, auditing JSDoc quality, fixing audit warnings, writing @useWhen/@avoidWhen/@never tags, or asking about documentation conventions for skills.
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。
Install or synchronize BMS差分 from a beatoraja-compatible difficulty table, optionally download missing parent songs, and place charts into matching music folders without overwriting existing files. Use for 難易度表 URL, header.json, url_diff, or beatoraja差分 installation requests; do not use for ordinary BMS library organization unrelated to a difficulty table.
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。
shadcn_flutter UI component library for building accessible, themed Flutter interfaces. Use when integrating shadcn components, configuring design system theming, or building consistent widget layouts.
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Builds React Native and Expo apps in TypeScript — navigation with React Navigation or Expo Router, lists, forms, styling, gestures and animations with Reanimated, safe areas, accessibility and localization; networking with TanStack Query, response validation, persistence with MMKV, AsyncStorage, SQLite and secure storage; permissions, push notifications, deep links, background tasks, native modules and config plugins; performance with Hermes and the React profiler; and release with EAS Build, EAS Submit and EAS Update or bare Gradle and Xcode builds. Use when writing or changing React Native code, adding a native capability, configuring Expo, preparing a store build or an over-the-air update, or when the user asks how to do something in React Native, even if they do not name the library.
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。
Builds native Android apps with the Android team's guides — Jetpack Compose UI, adaptive layouts, edge-to-edge, Compose styles, migrating XML views to Compose, Navigation 3 and predictive back; Android Gradle Plugin 9 upgrades, R8 keep rule analysis, profiling with Android Studio and Perfetto, and the Android CLI; Google Play policy compliance, Play Billing upgrades and the Engage SDK; Credential Manager restore and verified email; CameraX and Media3 Cast; App Functions and the ML Kit GenAI Prompt API; Wear OS, Android TV and display glasses. Use when writing, upgrading or auditing native Android (Kotlin) code for any of these topics, even if the user does not name the library.
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。
Infrastructure as Codeベストプラクティスに従って、AWS、Azure、GCPインフラ用の再利用可能なTerraformモジュールを構築します。インフラモジュール作成、クラウドプロビジョニング標準化、再利用可能なIaCコンポーネント実装時に使用します。
Implement comprehensive testing strategies using Jest, Vitest, and Testing Library for unit tests, integration tests, and end-to-end testing with mocking, fixtures, and test-driven development. Use when writing JavaScript/TypeScript tests, setting up test infrastructure, or implementing TDD/BDD 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。
Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.
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。
Azure Key Vault Keys SDK for .NET. Client library for managing cryptographic keys in Azure Key Vault and Managed HSM. Use for key creation, rotation, encryption, decryption, signing, and verification.
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。
Azure Identity SDK for .NET. Authentication library for Azure SDK clients using Microsoft Entra ID. Use for DefaultAzureCredential, managed identity, service principals, and developer credentials.
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。
Azure Event Grid SDK for .NET. Client library for publishing and consuming events with Azure Event Grid. Use for event-driven architectures, pub/sub messaging, CloudEvents, and EventGridEvents.
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。
Azure OpenAI SDK for .NET. Client library for Azure OpenAI and OpenAI services. Use for chat completions, embeddings, image generation, audio transcription, and assistants.
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Use Kanpeki component library in React projects. Activate when user wants to add, use, customize, or compose accessible UI components from Kanpeki (@kanpeki/*). Covers installation, component patterns, forms, theming, and dark mode with React Aria Components + Tailwind CSS 4.1 + CVA.
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 cloud architecture diagrams as code — creating, modifying, or reviewing infrastructure diagrams using the Python Diagrams library. Covers AWS, Azure, GCP, Kubernetes, on-premises, and SaaS provider nodes. Generates PNG/SVG architecture diagrams from Python code with Graphviz rendering.
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 working with Aws Cdk Deep — aWS CDK application and stack management. Covers stack synthesis, CloudFormation template inspection, diff analysis, deployment orchestration, context values, asset management, and construct library usage. Use when managing CDK apps, debugging synthesis errors, reviewing stack diffs, or analyzing deployed CloudFormation resources.
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。
Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.
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Core Python library for astronomy/astrophysics: units with dimensional analysis, celestial coordinate transforms (ICRS/Galactic/AltAz/FK5), FITS I/O, tables (FITS/HDF5/VOTable/CSV), cosmology (Planck18, distance/age), precise time (UTC/TAI/TT/TDB, Julian, barycentric), WCS pixel-world mapping, model fitting. For general tables use pandas/polars; for radio interferometry use CASA.
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。
NVIDIA RAG Blueprint deployment, configuration, troubleshooting, and shutdown guidance for Docker, Helm, and library-based RAG stacks.
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Use this skill alongside figma-use when the task involves translating an application page, view, or multi-section layout into Figma. Triggers: 'write to Figma', 'create in Figma from code', 'push page to Figma', 'take this app/page and build it in Figma', 'create a screen', 'build a landing page in Figma', 'update the Figma screen to match code', 'convert this modal/dialog/drawer/panel to Figma'. This is the preferred workflow skill whenever the user wants to build or update a full page, modal, dialog, drawer, sidebar, panel, or any composed multi-section view in Figma from code or a description. Discovers design system components, variables, and styles from Code Connect files, existing screens, and library search, then imports them and assembles views incrementally section-by-section using design system tokens instead of hardcoded values.
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。