1.3万 件 ・ 関連度順
概要と使いどころ
Use when creating, configuring, reviewing, or debugging Vite-based frontend projects, vite.config.ts, env variables, dev server proxy, HMR, plugin ordering, library mode, dependency pre-bundling, bundle splitting, or Vite build performance. Use framework-specific skills for React/Vue component architecture; Chinese triggers include Vite configuration, vite.config, Vite build, Vite performance.
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 building, reviewing, or improving frontend UI that needs product-specific design direction, design-system generation, Master/Page overrides, distinctive visual identity, anti-generic interface choices, first-screen hierarchy, UI polish, chart UX, interaction states, responsive behavior, or visual QA. Interface polishing, interactive 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。
Use when designing or reviewing Vue 3 + TypeScript project structure, SFC/component boundaries, composables organization, route composition, Pinia ownership, API/error/styling defaults, directives, or repository-wide Vue conventions. Prefer narrower skills for forms, data fetching, tests, accessibility, virtualization, animation, or security deep dives; Chinese triggers include Vue 3 project specification, Vue component architecture.
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 the user asks for general frontend code review, PR review, merge-readiness assessment, architecture maintainability, type-safety, rendering/state risks, style consistency, testability gaps, or a cross-cutting review summary. Delegate deep security, accessibility, E2E, or performance investigations to their specialized skills; Chinese triggers include code review, code review, review.
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 diagnosing structural maintainability problems in existing frontend code before deciding how to refactor it, especially when evidence, false-positive checks, and candidate transformations are needed without editing business code.
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 selecting or composing behavior-preserving refactoring techniques after structural evidence is known, especially when multiple candidate transformations, preconditions, or ordering choices must be compared.
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 behavior-preserving frontend refactoring focuses on function API shape, flags, dependencies, mutability, construction, or command/function trade-offs, and the selected technique needs family-specific mechanics, risks, and JavaScript/TypeScript/React/Vue adaptation.
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 designing or reviewing React + TypeScript project structure, feature/module boundaries, component architecture, hooks organization, routing composition, state/API/error/styling defaults, or repository-wide React conventions. Prefer narrower skills for forms, data fetching, tests, accessibility, virtualization, animation, or security deep dives; Chinese triggers include React project specification, React component architecture.
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 behavior-preserving frontend refactoring focuses on variable meaning, field naming, derived state, or reference/value identity, and the selected technique needs family-specific mechanics, risks, and JavaScript/TypeScript/React/Vue adaptation.
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 or editing diagrams, charts, visual assets, posters, UI mockups, product images, infographics, academic figures, comics, avatars, storyboards, brand boards, or image-edit workflows, especially when exported PNGs need visual QA and bounded self-repair. Prefer deterministic Mermaid/SVG/HTML/canvas sources for text-heavy diagrams; use HTML technical diagrams for browser-ready system blueprints, architecture, deployment topology, agent runtime, memory flow, before-after architecture, workflow, sequence, data-flow, lifecycle, runbook, PII/data-lineage, and state-machine diagrams. Do not use for ordinary UI polish without generated imagery.
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 behavior-preserving frontend refactoring focuses on legacy OO hierarchies, subtype responsibilities, superclass extraction/collapse, or delegation, and the selected technique needs family-specific mechanics, risks, and JavaScript/TypeScript/React/Vue adaptation.
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 creating or reviewing Next.js 14+ App Router projects, file routes, layouts, server/client component boundaries, SSR/SSG/ISR, streaming, metadata, middleware, server actions, or Next-specific data fetching. For generic client React component architecture, apply the project's React conventions separately; Chinese triggers include Next.js, App Router.
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 behavior-preserving frontend refactoring focuses on function structure, naming, parameters, shared context, or phase boundaries, and the selected technique needs family-specific mechanics, risks, and JavaScript/TypeScript/React/Vue adaptation.
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 behavior-preserving frontend refactoring focuses on behavior/data ownership, statement placement, loops, or dead-code knowledge, and the selected technique needs family-specific mechanics, risks, and JavaScript/TypeScript/React/Vue adaptation.
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 creating or reviewing Nuxt 3 projects, file routes, pages, layouts, SSR/SSG/SPA behavior, Nuxt data fetching, route middleware, plugins, modules, server routes, or Nuxt-specific Vue 3 conventions. For generic Vue component architecture, apply the project's Vue conventions separately; Chinese triggers include Nuxt, Nuxt 3.
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 behavior-preserving frontend refactoring focuses on record, collection, value, responsibility, delegation, or algorithm boundaries, and the selected technique needs family-specific mechanics, risks, and JavaScript/TypeScript/React/Vue adaptation.
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。
Persistent Codex-style goal tracking for pi. Use when the user explicitly asks to set, continue, audit, pause, resume, complete, or inspect a long-running goal.
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。
Upgrade the vendored NeMo-Skills slice to a newer upstream commit. Use when the user asks to "bump vendored", "sync NeMo-Skills", "update vendored sha", "upgrade NS", or wants to pull a specific upstream fix. Inside the sgl-eval repo.
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 for BayeSED3 galaxy / AGN SED synthesis/analysis, priors, Results analysis, evidence comparison, advanced run modes, Launcher Inspect (`results` / `plot` / `priors`), and assembling Launcher Run argv. Trigger on vague asks like "how do I fit this galaxy?"
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。
Manage Google Security Operations (SecOps) SOAR cases throughout their lifecycle. Use when listing, creating, inspecting, updating, or closing SOAR cases; adding investigative comments and notes; updating case priority or description; or linking and grouping security alerts within cases. Supports both remote Google SecOps MCP tools and local fallback tools. Don't use for SIEM UDM searches or detection rule 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。
Provides guidance for migrating Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers migration to Airflow 2.11.1 (MSAA Gen 2 and 3) and Airflow 3 (MSAA Gen 3), including environment inspection, GCS download/upload and scanning patterns for breaking changes. Use when migrating the DAG code to newer Airflow version. Don't use when checking DAG run failures unrelated to code migration.
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。
Configures PromQL-based Service Level Objective (SLO) alerting policies for Google Cloud resources registered in App Hub or individually specified. Generates Terraform output. Use when the user asks to configure an SLO or Service Level Objective. Don't use for standard alerting policies.
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。
Discovers requirements and designs an end-to-end governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark (Lightning Engine). Use when designing data science and analytics workflows across structured and unstructured distributed data (including in S3, Azure Blob, AlloyDB, and Iceberg), establishing metadata governance with Knowledge Catalog aspect types, or grounding agentic IDEs (VS Code, Antigravity) by using the Google Cloud Data Agent Kit. Don't use for provisioning borderless data lakehouse infrastructure (use google-cloud-solution-agentic-ai-borderless-data-lakehouse instead).
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。
Deploys a baseline landing zone foundation for a Google Cloud Organization, establishing security guardrails using Organization Policies, resource hierarchy folders and projects, billing association, and centralized logging and monitoring. Deploys Google Cloud's recommended security controls and architecture. Use when setting up a new Google Cloud Organization or establishing a secure, enterprise-grade landing zone foundation. Don't use for individual project onboarding (use google-cloud-recipe-onboarding or product-specific skills instead).
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。