Skills Plugins MCP Prompt Model 博客 我的中心
Development #python #api

python-dev

Python 开发规范。当用户操作 .py、pyproject.toml、requirements.txt、setup.py 文件, 或涉及 FastAPI、Django、Flask、pytest、asyncio 开发时触发。 包含 PEP 8 风格、类型注解、异常处理、测试规范、异步编程、性能优化等。

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

Get

https://deepseekmodel.com/api/download.php?id=doccker-cc-use-exp-cursor-skills-python-dev-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name python-dev description Python 开发规范。当用户操作 .py、pyproject.toml、requirements.txt、setup.py 文件, 或涉及 FastAPI、Django、Flask、pytest、asyncio 开发时触发。 包含 PEP 8 风格、类型注解、异常处理、测试规范、异步编程、性能优化等。 Python 开发规范 参考来源: PEP 8、Google Python Style Guide 工具链 black . # 代码格式化 isort . # import 排序 mypy . # 静态类型检查 ruff check . # 快速 linter(推荐) pytest -v # 运行测试 pytest --cov=src # 覆盖率 命名约定 类型 规则 示例 模块/包 小写下划线 user_service.py 类名 大驼峰 UserService , HttpClient 函数/变量 小写下划线 get_user_by_id , user_name 常量 全大写下划线 MAX_RETRY_COUNT 私有 单下划线前缀 _internal_method 类型注解 from typing import Optional , List , Dict from dataclasses import dataclass @dataclass class User : id : int name: str email: Optional [ str ] = None def find_user_by_id ( user_id: int ) -> Optional [User]: ... # Python 3.10+ 可用新语法 def greet ( name: str | None = None ) -> str : return f"Hello, {name or 'World' } " 异常处理 # ✅ 好:捕获具体异常 try : user = repository.find_by_id(user_id) except DatabaseError as e: logger.error( f"Failed to find user {user_id} : {e} " ) raise ServiceError( f"Database error: {e} " ) from e # ✅ 好:上下文管理器 with open ( "file.txt" , "r" ) as f: content = f.read() # ❌ 差:裸 except try : do_something() except : pass 测试规范(pytest) import pytest from unittest.mock import Mock class TestUserService : @pytest.fixture def user_service ( self ): repository = Mock() return UserService(repository) def test_find_by_id_returns_user ( self, user_service ): expected = User( id = 1 , name= "test" ) user_service.repository.find_by_id.return_value = expected result = user_service.find_by_id( 1 ) assert result == expected # 参数化测试 @pytest.mark.parametrize( "input,expected" , [ ( 1 , 1 ), ( 2 , 4 ), ( 3 , 9 ), ] ) def test_square ( input , expected ): assert square( input ) == expected 异步编程 import asyncio async def fetch_user ( user_id: int ) -> User: async with aiohttp.ClientSession() as session: async with session.get( f"/api/users/ {user_id} " ) as response: data = await response.json() return User(**data) # 限制并发数 async def fetch_with_limit ( user_ids: list [ int ], limit: int = 10 ) -> list [User]: semaphore = asyncio.Semaphore(limit) async def fetch_one ( uid: int ) -> User: async with semaphore: return await fetch_user(uid) return await asyncio.gather(*[fetch_one(uid) for uid in user_ids]) 性能优化 场景 方案 大数据处理 使用生成器 yield 字符串拼接 使用 ''.join() 查找操作 使用 set 或 dict 并发 I/O 使用 asyncio CPU 密集 使用 multiprocessing 项目结构 project/ ├── src/ │ └── myproject/ │ ├── __init__.py │ ├── models/ │ ├── services/ │ └── utils/ ├── tests/ │ ├── conftest.py │ └── test_*.py ├── pyproject.toml └── README.md
Keywords that activate this skill. Click one to copy it.

This skill does not provide trigger words.

The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

验证码 --

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。