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faion-python-developerfaion Python 开发者

Agent Skill

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。它适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令、生成脚本或分析数据处理逻辑。使用时需要确认项目虚拟环境、依赖版本和测试入口;涉及执行脚本、读写文件、访问数据库或调用外部 API 时,应先明确运行目录和输入输出范围,避免误改生产数据。

总安装

238

周安装

10

GitHub Stars

2

下载量

83
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:faion-python-developer(faion Python 开发者)
来源仓库:https://github.com/faionfaion/faion-network
仓库路径:skills/faion-python-developer
安装命令:
npx skills add https://github.com/faionfaion/faion-network --skill faion-python-developer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/faionfaion/faion-network --skill faion-python-developer

简介

faion-python-developer 处理 Django、FastAPI 等 Python 后端开发任务。

  • 可分析 manage.py 入口、依赖版本和测试覆盖率。
  • 避免直接修改生产数据库,建议先在沙箱环境验证脚本。
  • 安装命令:npx skills add https://github.com/faionfaion/faion-network --skill faion-python-developer。
  • 异步编程和并发处理需特别注意线程安全与资源竞争问题。

SKILL.md

Entry point: /faion-net — invoke this skill for automatic routing to the appropriate domain.

Python Developer Skill

Python development specializing in Django, FastAPI, async programming, and modern Python patterns.

Purpose

Handles all Python backend development including Django full-stack apps, FastAPI async APIs, pytest testing, and Python best practices.


Context Discovery

Auto-Investigation

Gather Python project context before asking questions:

SignalHow to CheckWhat It Tells Us
manage.pyGlob("**/manage.py")Django project
pyproject.tomlRead("pyproject.toml")Dependencies, Python version, tools
requirements.txtRead("requirements.txt")Dependencies (legacy setup)
settings/*.pyGlob("**/settings/*.py")Django settings structure
services/*.pyGlob("**/services/*.py")Service layer exists → follow pattern
conftest.pyGlob("**/conftest.py")pytest fixtures exist → check style
factories.pyGlob("**/factories.py")Factory Boy used for tests
tasks.py or celery.pyGlob("**/tasks.py")Celery async tasks used
.pre-commit-config.yamlGlob("**/.pre-commit-config.yaml")Pre-commit hooks, linting tools
mypy.ini or pyproject.toml [tool.mypy]Check for mypy configType checking enforced

Read existing code to understand patterns:

- Read a model file to see BaseModel pattern
- Read a service file to see service layer style
- Read a test file to see testing conventions
- Read serializers to see DRF patterns

Discovery Questions

Use AskUserQuestion for Python-specific decisions not clear from investigation.

Q1: Framework Choice (only if not detected)

question: "Which Python framework are you using?"
header: "Framework"
multiSelect: false
options:
  - label: "Django"
    description: "Full-featured web framework with ORM"
  - label: "FastAPI"
    description: "Modern async API framework"
  - label: "Flask"
    description: "Lightweight microframework"
  - label: "No framework (scripts/CLI)"
    description: "Pure Python application"

Routing:

  • "Django" → django-* methodologies
  • "FastAPI" → python-fastapi, python-async
  • "Flask" → python-web-frameworks
  • "No framework" → python-basics, python-code-quality

Q2: Code Placement (for new code in Django)

question: "What type of code are you writing?"
header: "Code Type"
multiSelect: false
options:
  - label: "Database operations (create/update/delete)"
    description: "Code that modifies data"
  - label: "Business logic (calculations, transformations)"
    description: "Pure functions, no side effects"
  - label: "API endpoint"
    description: "HTTP request handling"
  - label: "Background task"
    description: "Async/scheduled processing"
  - label: "Not sure"
    description: "I'll help you decide based on what it does"

Routing (Django decision tree):

  • "Database operations" → services/ directory
  • "Business logic" → utils/ directory (pure functions)
  • "API endpoint" → views/ or viewsets/
  • "Background task" → tasks/ with Celery
  • "Not sure" → Ask what the code does, apply decision tree

Q3: Async Requirements

question: "Does this need async/concurrent execution?"
header: "Async"
multiSelect: false
options:
  - label: "Yes, I/O bound (API calls, file ops)"
    description: "Multiple external calls that can run in parallel"
  - label: "Yes, background processing"
    description: "Long-running tasks that shouldn't block"
  - label: "No, synchronous is fine"
    description: "Simple request-response flow"
  - label: "Not sure"
    description: "I'll analyze and recommend"

Routing:

  • "I/O bound" → python-async, asyncio patterns
  • "Background processing" → django-celery or FastAPI BackgroundTasks
  • "Synchronous" → Standard patterns
  • "Not sure" → Analyze task characteristics

Q4: Type Safety Level

question: "What level of type safety do you want?"
header: "Types"
multiSelect: false
options:
  - label: "Strict (full type hints, mypy strict)"
    description: "Maximum type safety, catch errors early"
  - label: "Gradual (key interfaces typed)"
    description: "Type public APIs, internal can be looser"
  - label: "Minimal (match existing code)"
    description: "Follow project's current style"

Routing:

  • "Strict" → python-type-hints strict mode, Protocol, TypedDict
  • "Gradual" → Type annotations on public functions
  • "Minimal" → Match existing codebase style

Q5: Testing Approach (for new features)

question: "How should we approach testing?"
header: "Testing"
multiSelect: false
options:
  - label: "TDD (tests first)"
    description: "Write tests before implementation"
  - label: "Tests after implementation"
    description: "Write tests once code works"
  - label: "Match existing test coverage"
    description: "Follow project's testing patterns"
  - label: "No tests needed"
    description: "Spike/prototype, tests later"

Routing:

  • "TDD" → tdd-workflow, write test first
  • "Tests after" → django-pytest or python-testing-pytest
  • "Match existing" → Read conftest.py, follow patterns
  • "No tests" → Skip testing methodologies

When to Use

  • Django projects (models, services, API, testing)
  • FastAPI async APIs
  • Python async patterns and concurrency
  • Python type hints and strict typing
  • Python testing with pytest
  • Python code quality and tooling

Methodologies

CategoryMethodologyFile
Django Core
Django standardsDjango coding standards, project structuredjango-coding-standards.md
Django modelsModel design, base model patternsdjango-base-model.md
Django models referenceModel fields, managers, migrationsdjango-models.md
Django servicesService layer architecturedjango-services.md
Django APIDRF patterns, serializers, viewsetsdjango-api.md
Django testingDjango test patterns, factoriesdjango-testing.md
Django pytestpytest-django, fixtures, parametrizedjango-pytest.md
Django celeryAsync tasks, queues, beatdjango-celery.md
Django qualityCode quality, linting, formattingdjango-quality.md
Django importsImport organization, circular importsdjango-imports.md
Django decision treeFramework selection, when to use Djangodjango-decision-tree.md
Django decompositionBreaking down Django monolithsdecomposition-django.md
FastAPI
FastAPI basicsRoutes, dependencies, validationpython-fastapi.md
Web frameworksDjango vs FastAPI vs Flask comparisonpython-web-frameworks.md
Async Python
Async basicsasyncio, await, event looppython-async.md
Async patternsConcurrent patterns, asyncio best practicespython-async-patterns.md
Type Safety
Type hintsGradual typing, annotationspython-type-hints.md
Python typingTypedDict, Protocol, Genericpython-typing.md
Testing
pytest basicsFixtures, parametrize, markerspython-testing-pytest.md
Python Core
Python basicsLanguage fundamentals, patternspython-basics.md
Python overviewQuick referencepython.md
Python modern 2026Python 3.12/3.13 featurespython-modern-2026.md
Python code qualityruff, mypy, black, isortpython-code-quality.md
Poetry setupDependency management, pyproject.tomlpython-poetry-setup.md

Tools

  • Frameworks: Django 5.x, FastAPI 0.1x, Flask
  • Testing: pytest, pytest-django, pytest-asyncio, factory-boy
  • Type checking: mypy, pyright
  • Linting: ruff, flake8, pylint
  • Formatting: black, isort
  • Package management: poetry, pip-tools, uv

Related Sub-Skills

Sub-skillRelationship
faion-backend-developerDatabase patterns (PostgreSQL, Redis)
faion-api-developerREST/GraphQL API design
faion-testing-developerAdvanced testing patterns
faion-devtools-developerArchitecture patterns, code quality

Integration

Invoked by parent skill faion-software-developer when working with Python code.


*faion-python-developer v1.0 | 24 methodologies*

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能力 2

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能力 3

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能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.56%
按下载量换算31

Claude

31.43%
按下载量换算26

Cursor

17.43%
按下载量换算14

Gemini CLI

9.36%
按下载量换算8

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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