3,618 件 ・ 関連度順
概要と使いどころ
Architecture diagram authoring for cloud infrastructure and declared data catalogs. Use when rendering Azure IaC or DS_CATALOG_V1 relationships as caller-selected ASCII or Mermaid diagrams.
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。
Evaluate system boundaries and architectural tradeoffs. Use for architecture decisions, design reviews, and ADRs.
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。
Architecture specialist for software/system design, module and service boundaries, tradeoff analysis, and stakeholder synthesis. Uses context-aware methods such as diagnostic routing, design-twice comparison, ATAM-style risk analysis, CBAM-style prioritization, and ADR-style decision records.
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。
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.
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。
Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns.
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。
SERP-based semantic topic clustering for content architecture planning. Groups keywords by actual Google SERP overlap (not text similarity), designs hub-and-spoke content clusters with internal link matrices, and generates interactive visualizations. Optionally executes content creation if claude-blog is installed. Use when user says "topic cluster", "content cluster", "semantic clustering", "pillar page", "hub and spoke", "content architecture", "keyword grouping", or "cluster plan".
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。
Modular design, interface stability, dependency management, AI-code health. Triggers: architecture, design, structure, modules, dependencies, coupling, system design.
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。
Plans and builds end-to-end Fabric data platforms on the Bronze, Silver, and Gold medallion pattern: ingestion to analytics, PySpark and Delta layers, pipeline orchestration, per-layer Spark tuning, Materialized Lake View versus notebook choices for Silver and Gold, and Direct Lake handoff. Use for layered architecture design, planning and recommendations. For questions over an existing Power BI report use fabriciq.
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。
Specify plant models for closed-loop simulation: system specs, architecture, build plans, validation plans. Use when creating, updating, or reviewing plant model specifications, planning plant model architecture, or planning plant model validation.
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 mentions SwiftUI architecture review, separation of concerns, testability issues, or "logic in view" problems.
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。
Implement zero-trust network architecture. Configure identity-based access, micro-segmentation, and continuous verification. Use when implementing modern security architectures.
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。
Backend API design, database architecture, microservices patterns, and test-driven development. Use for designing APIs, database schemas, or backend system 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。
Backend plugin architecture, DeviceInterface, dynamic loading, and command encoding.
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。
Meta-skill for combining Three.js, GSAP ScrollTrigger, React Three Fiber, Motion, and React Spring for complex 3D web experiences. Use when building applications that integrate multiple 3D and animation libraries, requiring architecture patterns, state management, and performance optimization across the stack. Triggers on tasks involving library integration, multi-library architectures, scroll-driven 3D experiences, physics-based 3D animations, or complex interactive 3D applications.
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。
When the user wants to decide domain structure for multiple products or brands—subfolder vs subdomain vs independent domain. Also use when the user mentions "subfolder vs subdomain," "subdirectory vs subdomain," "multiple products domain," "multiple websites," "brand architecture," "branded house," "house of brands," "where to host product," "domain structure," or "hub-spoke domain." For brand SERP, use multi-domain-brand-seo.
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 the dispatcher PCF for a third-party `.ppmplugin` (wrap-runtime) control. Runs `pac pcf init` in the pcf/ subfolder, rewrites ControlManifest.Input.xml from ARCHITECTURE §6, and writes index.ts derived from ARCHITECTURE §4 (message contract), §8 (PCF surface), §9 (error UX) — no placeholders. The bridge dispatches the composite key `<name>/<receiver>` to `NativeModules.<nativeModule>.<method>` via the host-injected `window.PowerApps.NativeExtension.sendAsync` global (never `cordova.exec` — not in the PCF sandbox); also emits a `PowerAppsNativeExtension.d.ts` ambient declaration. Responses are peeled with `extractResponse`. Emits structured JSON debug/error logs. Validated by `npm run build`. **Local only** — does not deploy. Needs only `pac` CLI. Run after the native module exists. Uses npm (not pnpm).
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 the structure of a website or product including sitemap, navigation, URL structure, content types, taxonomy, and labeling. Use this skill whenever the user asks to plan a sitemap, design navigation, structure URLs, define content types, build taxonomies, design site search, or organize content at the system level. Triggers on sitemap, site structure, navigation, IA, information architecture, URL structure, content types, taxonomy, categorization, breadcrumbs, hub pages, faceted navigation, site search, labeling. Also triggers when content is being created without a structural plan, or when an existing site's structure is being audited or restructured.
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。
Designing conversational flows for website chatbots and AI agents. Intent recognition architecture, branching logic, fallback handling, escalation to human, conversation analytics. Honest about scripted-bot (rigid trees, fail edge cases), hallucinating-bot (LLM without structure, makes things up), and structured-guided-conversation (LLM-powered with intent architecture and fallback discipline) patterns. Distinguishes chatbot DESIGN (this skill) from chatbot IMPLEMENTATION (engineering and platform work). Triggers on chatbot, conversational AI, AI agent, chat widget, intent design, conversational flow, bot escalation, LLM grounding. Also triggers when a chatbot is hallucinating, when a scripted bot is failing edge cases, or when a chatbot is being scoped for the first time.
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。
Architecture Decision Record documentation
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。
This skill should be used when the user asks to "analyze this codebase", "document this service", "generate technical docs", "I inherited this code", "help me understand this system", "create docs for this project", "what does this system look like", "onboard me to this codebase", "this codebase has no docs", "visualize the architecture from code", or any explicit request to produce structured documentation or architecture diagrams from an existing codebase. Specifically optimized for AWS workloads (CDK, CloudFormation, Terraform) with source-of-truth citations. Do NOT activate for code reviews, single-function explanations, generating new code, or general coding tasks.
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。
Brand strategy covering positioning, identity, brand architecture, messaging frameworks, and governance. Use when developing brand positioning, creating messaging frameworks, auditing brand health, or building brand 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。
Fullstack development toolkit with project scaffolding for Next.js/FastAPI/MERN/Django stacks and code quality analysis. Use when scaffolding new projects, analyzing codebase quality, or implementing fullstack architecture patterns.
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 AWS serverless architectures for startups with IaC. Use when designing serverless architecture, writing CloudFormation, optimizing AWS costs, setting up CI/CD, or migrating to AWS across Lambda, API Gateway, and DynamoDB.
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, review, and validate Azure cloud architectures. Use when choosing Azure compute, storage, networking, or identity services, or applying the Azure Well-Architected Framework to a workload.
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。