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python

Develop secure Python backend services with Pydantic, SQLAlchemy, and cryptography.

45|4|Updated Nov 25, 2025
Search Tags:#tdd#performance#security#fastapi#python#backend
One-click install
npx skills add https://github.com/martinholovsky/claude-skills-generator --skill python-martinholovsky
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python
Source: https://github.com/martinholovsky/claude-skills-generator/tree/main/skills/python
Command: npx skills add https://github.com/martinholovsky/claude-skills-generator --skill python-martinholovsky

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pydantic, email-validator, cryptography, argon2-cffi, PyJWT, sqlalchemy, asyncpg, httpx, bandit, pytest, pytest-asyncio, hypothesis, safety, pip-audit, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a robust framework for developing secure, maintainable, and high-performance Python backend services, addressing common vulnerabilities and performance bottlenecks.

Core Features & Use Cases

  • Secure Coding Practices: Enforces TDD, type safety, and defense-in-depth principles.
  • Performance Optimization: Leverages async programming, generators, and efficient data structures.
  • Use Case: Develop a secure FastAPI microservice for user authentication and data management, ensuring protection against common web vulnerabilities and optimizing response times.

Quick Start

Implement a secure user creation endpoint using FastAPI and Pydantic validation.

Frequently Asked Questions about python

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a secure FastAPI backend with Pydantic validation?▼

Secure FastAPI backends by enforcing type safety and defense-in-depth principles. Use Pydantic for data validation and leverage async programming to optimize response times in user authentication and data management microservices.

What's the best way to prevent common vulnerabilities in Python API development?▼

Prevent Python API vulnerabilities using defense-in-depth principles and TDD. Mitigate risks in database interaction, file operations, and subprocess execution using cryptography libraries, Argon2 hashing, and JWT for secure authentication.

How does Test Driven Development work with Python backend services?▼

Test Driven Development for Python backend services enforces secure and maintainable code. Use pytest, pytest-asyncio, and hypothesis to validate type safety and security logic before implementation, ensuring robust vulnerability mitigation.

Do I need asyncpg and SQLAlchemy for performant Python database interactions?▼

Use asyncpg and SQLAlchemy for performant Python database interactions. They enable async database access, which combined with efficient data structures and generators, resolves performance bottlenecks in backend services.

Can I use bandit and pip-audit to secure Python dependencies?▼

Use bandit and pip-audit to secure Python dependencies and code. These tools identify vulnerabilities and enforce security standards, complementing PyJWT and cryptography libraries to protect against common web vulnerabilities.

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