python-pro
Build Modern Python Applications with Expert Guidance
Python developers struggle with outdated practices and fragmented tooling knowledge. This skill delivers production-ready expertise in Python 3.12+, modern tooling like uv and ruff, async patterns, and performance optimization in one comprehensive resource.
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Testar
A utilizar "python-pro". Set up a FastAPI project with user authentication
Resultado esperado:
- Project structure with pyproject.toml configured for uv, ruff, mypy, pytest
- FastAPI app with JWT authentication endpoints (login, register, refresh)
- Pydantic models for request/response validation with proper type hints
- Password hashing with bcrypt and secure token generation
- Test suite with pytest fixtures for authentication testing
A utilizar "python-pro". Optimize slow data processing loop
Resultado esperado:
- Profile analysis identifying the bottleneck in the iteration
- Refactored code using generator expressions for memory efficiency
- Vectorized alternative using NumPy for numerical operations
- Benchmark comparison showing 10x performance improvement
- Explanation of when to use each optimization approach
Auditoria de Segurança
SeguroThis is a prompt-only skill containing only instructional text in SKILL.md with no executable code. Static analysis scanned 0 files with 0 lines of code, detecting no security patterns. The skill provides Python development guidance and best practices without any file system access, network calls, or command execution. Safe for publication.
Pontuação de qualidade
O Que Você Pode Construir
Backend API Development
Build production-ready REST and GraphQL APIs with FastAPI, including authentication, validation, async database access, and automatic OpenAPI documentation.
Code Modernization
Migrate legacy Python codebases to modern standards including type hints, async patterns, updated dependency management with uv, and ruff-based linting.
Performance Optimization
Profile and optimize Python applications for latency and throughput using cProfile, py-spy, async patterns, and caching strategies.
Tente Estes Prompts
Help me create a new Python project with modern tooling. I need uv for package management, ruff for linting and formatting, mypy for type checking, and pytest for testing. Generate the pyproject.toml configuration and explain each tool's purpose.
Review this synchronous Python code and refactor it to use async/await patterns with asyncio. Identify which operations are I/O-bound and would benefit from async. Include proper error handling and explain the performance implications.
Design a FastAPI application with full type safety using Pydantic v2 models, dependency injection, custom exception handlers, and async database access with SQLAlchemy 2.0. Include comprehensive test examples with pytest fixtures.
Profile this Python application to identify bottlenecks. Recommend specific optimizations for memory usage, CPU-bound operations, and database queries. Include before/after benchmarks and explain the trade-offs of each optimization strategy.
Melhores Práticas
- Use type hints throughout your codebase with mypy strict mode for early error detection
- Prefer composition over inheritance and follow SOLID principles for maintainable code
- Write tests with pytest achieving greater than 90 percent coverage for critical paths
Evitar
- Avoid bare except clauses that catch all exceptions including SystemExit and KeyboardInterrupt
- Do not use mutable default arguments in function definitions
- Never store secrets in source code or use environment variables without validation