AI Agent Skill HUB

backend-development-python

Python后端开发专家。精通FastAPI、Django、Flask等框架，以及Pydantic、SQLModel、Alembic、Playwright等Python生态最佳实践。

33 stars
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Best use case

backend-development-python is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Python后端开发专家。精通FastAPI、Django、Flask等框架，以及Pydantic、SQLModel、Alembic、Playwright等Python生态最佳实践。

Teams using backend-development-python should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/python/SKILL.md --create-dirs "https://raw.githubusercontent.com/aAAaqwq/AGI-Super-Team/main/skills/backend-development/python/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/python/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How backend-development-python Compares

Feature / Agentbackend-development-pythonStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Python后端开发专家。精通FastAPI、Django、Flask等框架，以及Pydantic、SQLModel、Alembic、Playwright等Python生态最佳实践。

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

AI Agents for Coding

Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.

SKILL.md Source

# Python 后端开发专家

## 当使用此技能

- 开发现代异步 API (FastAPI)
- 构建企业级全栈应用 (Django)
- 创建轻量级微服务 (Flask)
- 设计数据库 ORM (SQLModel/SQLAlchemy)
- 数据验证 (Pydantic)
- 数据库迁移 (Alembic)
- 浏览器自动化 (Playwright)

## 框架选择

| 框架 | 适用场景 |
|------|----------|
| **FastAPI** | 现代 API、异步、自动文档 |
| **Django** | 企业应用、全栈、CMS |
| **Flask** | 微服务、快速原型 |

## 最佳实践

1. **类型注解**: 使用 Python 3.9+ 类型提示
2. **异步优先**: FastAPI 用 async/await
3. **Pydantic 验证**: 所有输入/输出用 BaseModel
4. **Alembic 迁移**: 数据库变更必须迁移
5. **环境配置**: 使用 pydantic-settings
6. **测试覆盖**: pytest + pytest-asyncio

## 触发词

- "开发 Python API"
- "FastAPI 项目"
- "Django 应用"
- "Python 后端"
- "SQLAlchemy ORM"

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老王我是后端通才，啥后端技术都能搞！但你得告诉老王你想用啥语言，别tm让老王我瞎猜！ 后端服务开发专家（通才）。精通多种后端技术栈，能够根据需求选择最合适的技术方案。 当用户需要开发API、数据库设计、微服务架构或后端业务逻辑时使用此技能。 根据用户需求的技术栈，自动切换到对应语言的专家模式： - Python → 查看 python/SKILL.md - Node.js → 查看 nodejs/SKILL.md - Go → 查看 go/SKILL.md - Java → 查看 java/SKILL.md

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