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概要と使いどころ
Instrument applications with Azure Application Insights and OpenTelemetry for end-to-end observability. Use this skill when users ask about telemetry, tracing, metrics, logging, or monitoring setup. Covers SDK setup, correlation, sampling, dashboards, and alerts per OpenTelemetry standards.
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。
Perform comprehensive technical reviews of Ruby on Rails applications. Runs automated analysis tools (RubyCritic, Brakeman, bundler-audit, Gitleaks, Debride, linters, SimpleCov, Rails stats, Rails ERD), analyzes code for architecture, security, authorization (Pundit/CanCanCan), dead code, and design issues, and produces a structured markdown report with prioritized findings and a 0-10 score. Use when the user requests a tech review, code audit, project assessment, or quality analysis of a Rails application.
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 proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing applications for better maintainability.
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。
Deep knowledge about deploying applications to AWS (EC2, ECS, S3, CloudFront, Cloud Run).
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。
Deep knowledge about deploying applications to Google Cloud Platform (Cloud Run, App Engine, Compute Engine).
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。
Deep knowledge about deploying applications to Kubernetes clusters using kubectl, helm, and manifests.
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。
Deep knowledge about deploying applications to Cloudflare (Pages, Workers, Wrangler).
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。
Deep knowledge about deploying applications to Fly.io (MicroVMs, Docker).
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。
Deep knowledge about deploying applications to Railway (PaaS, Docker, Nixpacks).
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。
Deep knowledge about deploying applications to Coolify (self-hosted PaaS).
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。
Deep knowledge about deploying applications to Baremetal servers or Virtual Private Servers (VPS) using SSH, SCP, Rsync, and PM2/Systemd.
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。
Deep knowledge about deploying applications to Vercel (Next.js, static sites, edge functions).
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。
Deep knowledge about deploying applications to Netlify (static sites, edge functions, serverless functions).
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。
Summarizes biotech patent families and disputes into litigation-ready intelligence briefs. Trigger when the user provides patent applications, issued patents, PTAB filings, prosecution histories, licensing materials, or litigation documents in biotechnology domains and requests a summary, risk assessment, or FTO analysis.
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。
Session-persistent browser automation via Playwright CLI — form filling, screenshots, data extraction, multi-step flows. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information across multiple requests. NOT for AI-driven long-autonomous flows (see mk:agent-browser); NOT for generating .spec.ts E2E code (see mk:qa-manual).
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。
Frontend development guidelines for React/TypeScript applications. Modern patterns including Suspense, lazy loading, useSuspenseQuery, file organization with features directory, MUI v7 styling, TanStack Router, performance optimization, and TypeScript best practices. Use when creating components, pages, features, fetching data, styling, routing, or working with frontend 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。
Create beautiful, accessible user interfaces with shadcn/ui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs. Use when building user interfaces, implementing design systems, creating responsive layouts, adding accessible components (dialogs, dropdowns, forms, tables), customizing themes and colors, implementing dark mode, generating visual designs and posters, or establishing consistent styling patterns across 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。
Deploy applications to Vercel with auto-detection and preview URLs
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。
Spring Boot 4.0 patterns for enterprise Java 25 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。
Django patterns for production-ready Python web 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。
Install and configure PostHog analytics SDK in React Native applications, including event tracking, feature flags, user identification, and error tracking. Use when the user needs to add PostHog analytics, session recording, or feature flags to a React Native app.
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。
PostHog integration for React Router v6 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。
Expert in SQLite embedded database development for Tauri/desktop applications with focus on SQL injection prevention, migrations, FTS search, and secure data handling
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。
Patterns for vibe coding that produce production-quality output instead of garbage. Covers prompt engineering for AI coding, verification without reading every line, accept/reject/refine decision framework, architectural guardrails, context management (CLAUDE.md, .cursor/rules), TDD-driven vibe coding, screenshot-driven development, diff review discipline, and the anti-patterns that destroy quality. Activate on: "vibe coding", "AI coding quality", "Claude Code workflow", "AI-assisted development", "how to use AI for coding", "coding with AI", "agentic engineering workflow", "AI code quality", "vibe code without garbage", "production quality AI code", "CLAUDE.md setup", "cursorrules setup", "pre-commit hooks for AI", "TDD with AI", "test-driven vibe coding". NOT for: multi-person collaborative coding sessions (use cooperative-vibe-coding), building AI/LLM applications (use ai-engineer), prompt engineering for non-coding LLM use cases (use prompt-engineer).
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。