architecting-python
Write ADRs for Python architecture decisions. Use when making architecture decisions or writing ADRs.
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Write ADRs for Python architecture decisions. Use when making architecture decisions or writing ADRs.
Multi-agent planning workflow for complex tasks. Use when tasks affect multiple subsystems, require extensive codebase exploration, or when context limits may become an issue.
Agentic Workflow Pattern
Create technical implementation plans with chosen tech stack and architecture decisions
Backend engineer focused on simplicity, bug elimination, and clean code. Use when user mentions "simplify backend", "fix backend bugs", "clean up code", or "make backend perfect".
Design, evaluate, and document software architectures including system design, design patterns, architecture patterns, scalability planning, and technology selection. Use when designing systems, choosing archit...
Use Databuddy feature flags for React, Node.js, and Vue applications. Use when implementing feature flags, A/B testing, gradual rollouts, or user-targeted feature toggles.
Break down PM story into backend tasks following LAYERED ARCHITECTURE order: Data Models → Database → Repository → Service → API → Validation → Tests. UNIQUE VALUE: Ensures proper dependency order and separati...
Master Temporal workflow orchestration using the Python SDK. Use PROACTIVELY for workflow design, microservice orchestration, long-running processes, saga pattern implementation, distributed transactions, or an...
Core principles and project structure for React 19 SPA development. Covers stack overview, project organization, agent execution rules, and authoritative sources. Use when planning new projects, onboarding, or...
Performance optimization, accessibility, and security best practices for React apps. Covers code-splitting, React Compiler patterns, asset optimization, a11y testing, and security hardening. Use when optimizing...
React 19 specific patterns including React Compiler optimization, Server Actions, Forms, and new hooks. Use when implementing React 19 features, optimizing components, or choosing between Actions vs TanStack Qu...
Configure Vite, TypeScript, Biome, and Vitest for React 19 projects. Covers build configuration, strict TypeScript setup, linting/formatting, and testing infrastructure. Use when setting up new projects or upda...
Expert in the Laravel ecosystem (v11+), specializing in full-stack development using TALL (Tailwind, Alpine, Laravel, Livewire) or VILT (Vue, Inertia, Laravel, Tailwind) stacks. Deep mastery of Database optimiz...
Complete full-stack development with Next.js 13+, React, Firebase, Tailwind CSS, and payment integration (Stripe, JazzCash, EasyPaisa). Build production-ready e-commerce platforms, SaaS applications, and scalab...
Integrate TanStack Router with TanStack Query for optimal data fetching. Covers route loaders with query prefetching, ensuring instant navigation, and eliminating request waterfalls. Use when setting up route l...
Integrate Apidog + OpenAPI specifications with your React app. Covers MCP server setup, type generation, and query layer integration. Use when setting up API clients, generating types from OpenAPI, or integrati...
Use the Databuddy React SDK for Next.js and React applications. Use when implementing analytics tracking in React components, setting up the Databuddy component in layouts, or using React hooks for event tracki...
Provides guidelines for implementing internationalization (i18n) in frontend applications using Paraglide JS and the shared @eridu/i18n package.
Comprehensive TanStack Query v5 patterns for async state management. Covers breaking changes, query key factories, data transformation, mutations, optimistic updates, authentication, testing with MSW, and anti-...
React patterns, anti-patterns, and performance optimization. Use when writing React components, reviewing React code, or debugging React issues.
Wayland環境でのGUI自動化。スクリーンショット取得、テキスト入力、クリップボード操作のパターン集
Playwright MCPを使用したブラウザ自動化。ページ操作、スクリーンショット、フォーム入力のパターン集
Creates Scheduled Jobs in Windows Task Scheduler
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。