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dignified-pythondignified Python 测试

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

23,164

周安装

995

GitHub Stars

137

下载量

8,119
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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:dignified-python(dignified Python 测试)
来源仓库:https://github.com/dagster-io/skills
仓库路径:skills/dignified-python
安装命令:
npx skills add https://github.com/dagster-io/skills --skill dignified-python
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/dagster-io/skills --skill dignified-python

简介

dignified-python 提供一套明确的 Python 编码惯例,强调类型安全、错误预防与路径抽象。

  • 适用于新项目初始化、代码重构或跨团队协作时统一风格标准。
  • 可通过询问“这段代码是否符合规范?”等方式触发,返回具体改进点与替代写法示例。
  • 虽然通用 Python 指南,但在 Dagster 项目中仍推荐遵循以减少运行时意外。
  • 注意不同宿主可能对 Python 版本支持有限,默认聚焦 3.10–3.13 特性。

SKILL.md

Dignified Python

Opinionated Python guidance for writing clean, maintainable, modern Python code (versions 3.10-3.13).

When to Use This Skill

Auto-invoke when users ask about:

  • "make this pythonic" / "is this good python"
  • "type hints" / "type annotations" / "typing"
  • "LBYL vs EAFP" / "exception handling"
  • "pathlib vs os.path" / "path operations"
  • "CLI patterns" / "click usage"
  • "code review" / "improve this code"
  • Any Python code quality or standards question

Note: This skill is general-purpose Python style guidance, not Dagster-specific. It captures one explicit, LBYL-leaning set of conventions; project conventions can override it when needed.

When to Use This Skill vs. Others

User NeedUse This SkillAlternative Skill
"make this pythonic"✅ Yes - Python standards
"is this good python"✅ Yes - code quality
"type hints"✅ Yes - typing guidance
"LBYL vs EAFP"✅ Yes - exception patterns
"pathlib vs os.path"✅ Yes - path handling
"best practices for dagster"❌ No/dagster-best-practices
"implement X pipeline"❌ No/dg for implementation
"which integration to use"❌ No/dagster-expert
"CLI argument parsing"✅ Yes - CLI patterns

Core Knowledge (ALWAYS Loaded)

@dignified-python-core.md

Version Detection

Identify the project's minimum Python version by checking (in order):

  1. pyproject.toml - Look for requires-python field (e.g., requires-python = ">=3.12")
  2. setup.py or setup.cfg - Look for python_requires
  3. .python-version file - Contains version like 3.12 or 3.12.0
  4. Default to Python 3.12 if no version specifier found

Once identified, load the appropriate version-specific file:

  • Python 3.10: Load versions/python-3.10.md
  • Python 3.11: Load versions/python-3.11.md
  • Python 3.12: Load versions/python-3.12.md
  • Python 3.13: Load versions/python-3.13.md

Conditional Loading (Load Based on Task Patterns)

Core files above cover 80%+ of Python code patterns. Only load these additional files when you detect specific patterns:

Pattern detection examples:

  • If task mentions "click" or "CLI" -> Load cli-patterns.md
  • If task mentions "subprocess" -> Load subprocess.md

Reference Documentation Structure

This skill's reference material is organized by topic:

Core References

  • dignified-python-core.md - Essential standards (always loaded)
  • cli-patterns.md - Command-line interface patterns (click, argparse)

Version-Specific References (versions/)

  • python-3.10.md - Features available in Python 3.10+
  • python-3.11.md - Features available in Python 3.11+
  • python-3.12.md - Features available in Python 3.12+
  • python-3.13.md - Features available in Python 3.13+

Advanced Topics (references/advanced/)

  • exception-handling.md - LBYL patterns, error boundaries
  • interfaces.md - ABC and Protocol patterns
  • typing-advanced.md - Advanced typing patterns
  • api-design.md - API design principles

When to Read Each Reference Document

references/advanced/exception-handling.md

Read when:

  • Writing try/except blocks
  • Wrapping third-party APIs that may raise
  • Seeing or writing from e or from None
  • Unsure if LBYL alternative exists

references/advanced/interfaces.md

Read when:

  • Creating ABC or Protocol classes
  • Writing @abstractmethod decorators
  • Designing gateway layer interfaces
  • Choosing between ABC and Protocol

references/advanced/typing-advanced.md

Read when:

  • Using typing.cast()
  • Creating Literal type aliases
  • Narrowing types in conditional blocks

references/module-design.md

Read when:

  • Creating new Python modules
  • Adding module-level code (beyond simple constants)
  • Using @cache decorator at module level
  • Seeing Path() or computation at module level
  • Considering inline imports

references/advanced/api-design.md

Read when:

  • Adding default parameter values to functions
  • Defining functions with 5 or more parameters
  • Using ThreadPoolExecutor.submit()
  • Reviewing function signatures

references/checklists.md

Read when:

  • Final review before committing Python code
  • Unsure if you've followed all rules
  • Need a quick lookup of requirements

How to Use This Skill

  1. Core knowledge is loaded automatically (defaults, pathlib, imports, anti-patterns)
  2. Version detection happens once - identify the minimum Python version and load the appropriate version file
  3. Reference documents are loaded on-demand based on the triggers above
  4. Additional patterns may require extra loading (CLI patterns, subprocess)
  5. Each file is self-contained with complete guidance for its domain

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

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

36.69%
按下载量换算2,979

Claude

29.25%
按下载量换算2,375

Cursor

17.61%
按下载量换算1,430

Gemini CLI

8.28%
按下载量换算672

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/dagster-io/skills --skill dignified-python 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。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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