fastapi-clean-architecture
Build modular FastAPI applications using Clean Architecture, including domain-driven design, dependency injection, repository patterns, and testing strategies for scalable Python backend services.
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253 skills found
Build modular FastAPI applications using Clean Architecture, including domain-driven design, dependency injection, repository patterns, and testing strategies for scalable Python backend services.
Analyze Kubernetes controller code to generate contract-compliant dependency graph artifacts for the Kamera coverage strategy.
A standardized fullstack pattern for Next.js features, integrating GET API routes, server actions, SWR data fetching, and React Hook Form with Zod validation.
Initialize and configure Trigger.dev in your project. Essential for setting up the SDK, project configuration, directory structure, and your first background task.
Stripe payment integration patterns for checkout, webhooks, and subscriptions. Ensures safe API usage, idempotency, signature verification, and testing compliance.
Standardized workflow and guidelines for Laravel 11/12 application development, including stack detection, dependency management, and integration with Laravel Boost tools.
Build and manage MCP servers using the FastMCP framework. Guide for creating tools, resources, prompts, Claude Desktop integration, and deployment with Python and TypeScript.
Automated generation of project documentation from codebase analysis, ensuring accuracy, consistency, and alignment with VilnaCRM architecture patterns.
Optimize Node.js performance via Redis caching, clustering, profiling, and monitoring to build fast, scalable, and efficient backend services.
Webpack reference tool for frontend developers. Provides guides, troubleshooting, performance tips, and best practices for configuration and project management.
CLI tools for Svelte 5 documentation lookup and code analysis. Automate Svelte component creation, debugging, and linting with real-time documentation retrieval and code autofixing.
Scaffold complex, multi-step coding tasks into actionable implementation plans and execute them autonomously using a Claude-driven bash loop.