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Found 201 Skills
Generate Python FastAPI code following project design patterns. Use when creating models, schemas, repositories, services, controllers, database migrations, authentication, or tests. Enforces layered architecture, async patterns, OWASP security, and Alembic migration naming conventions (yyyymmdd_HHmm_feature).
Manage and deploy the Algvex website for AItrader. 管理和部署 Algvex 网站。 Use this skill when: - Deploying or updating the Algvex website (部署或更新网站) - Configuring the web frontend or backend (配置前端或后端) - Managing Google OAuth setup (管理 Google OAuth 设置) - Troubleshooting website issues (排查网站问题) - Adding new features to the web interface (添加新功能) - Configuring Caddy reverse proxy (配置 Caddy 反向代理) Keywords: algvex, website, web, frontend, backend, deploy, Next.js, FastAPI, Caddy, 网站, 部署
Integration templates for FastAPI endpoints, Next.js UI components, and Supabase schemas for ML model deployment. Use when deploying ML models, creating inference APIs, building ML prediction UIs, designing ML database schemas, integrating trained models with applications, or when user mentions FastAPI ML endpoints, prediction forms, model serving, ML API deployment, inference integration, or production ML deployment.
You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint
Quick reference mapping global architecture concepts to Python/FastAPI/SQLAlchemy syntax. For concepts, see the global skills.
Advanced Python unit testing framework for customer support tech enablement, covering FastAPI, SQLAlchemy, PostgreSQL, async operations, mocking, fixtures, parametrization, coverage, and comprehensive testing strategies for backend support systems
Build MCP (Model Context Protocol) servers using the official Python SDK. Covers FastMCP high-level API with @mcp.tool(), @mcp.resource(), @mcp.prompt() decorators, FastAPI/Starlette integration, transports (stdio, SSE, streamable-http), and database integration.
Provides Complete patterns for testing async Python code with pytest: pytest-asyncio configuration, AsyncMock usage, async fixtures, testing FastAPI with AsyncClient, testing Kafka async producers/consumers, event loop and cleanup patterns. Use when: Testing async functions, async use cases, FastAPI endpoints, async database operations, Kafka async clients, or any async/await code patterns.
Full-stack development skill with six-layer architecture, supporting cross-layer modifications initiated from any layer. It automatically coordinates the collaboration of six layers: UI Layer/Frontend Service Layer/Frontend API Layer/Backend API Layer/Backend Service Layer/Data Layer, enabling cross-layer consistent code generation and refactoring. Suitable for Vue3+FastAPI+PostgreSQL tech stack
Comprehensive Python/FastAPI backend code review with optional parallel agents
API contract design conventions for FastAPI projects with Pydantic v2. Use during the design phase when planning new API endpoints, defining request/response contracts, designing pagination or filtering, standardizing error responses, or planning API versioning. Covers RESTful naming, HTTP method semantics, Pydantic v2 schema naming conventions (XxxCreate/XxxUpdate/XxxResponse), cursor-based pagination, standard error format, and OpenAPI documentation. Does NOT cover implementation details (use python-backend-expert) or system-level architecture (use system-architecture).
Modern Python project architecture guide for 2025. Use when creating Python projects (APIs, CLI, data pipelines). Covers uv, Ruff, Pydantic, FastAPI, and async patterns.