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Agent Skill · 研究检索

setting-up-python-projects(setting UP Python projects 搜索)

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。

setting-up-python-projects 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 62,001。

总安装 343周安装 14GitHub Stars 公开资料未说明下载 110核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:setting-up-python-projects(setting UP Python projects 搜索)
来源仓库:https://github.com/quick-brown-foxxx/coding_rules_python
仓库路径:skills/setting-up-python-projects
安装命令:
npx skills add https://github.com/quick-brown-foxxx/coding_rules_python --skill setting-up-python-projects
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/quick-brown-foxxx/coding_rules_python --skill setting-up-python-projects

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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、读写文件或调用外部 API 时,应先明确运行目录和输入输出范围。

通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和维护状态后再部署。安装前建议检查是否会触发联网、命令执行或文件读写,避免误操作影响系统安全。setting-up-python-projects 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/setting-up-python-projects

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/quick-brown-foxxx/coding_rules_python --skill…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

setting-up-python-projects 怎么安装?

在终端执行 npx skills add https://github.com/quick-brown-foxxx/coding_rules_python --skill setting-up…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

setting-up-python-projects 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

setting-up-python-projects 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/quick-brown-foxxx/coding_rules_python --skill setting-up-python-projects 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。

setting-up-python-projects 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

setting-up-python-projects 用的人多吗?

公开数据是累计安装 343 次,近一周安装 14 次,下载 110 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

setting-up-python-projects 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
setting-up-python-projects

setting UP Python projects 搜索 · 本页

343—执行命令未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Setting Up Python Projects

New projects start with the full safety net configured. Templates are in the repo: https://github.com/quick-brown-foxxx/coding_rules_python/tree/master/templates`.

Make sure to read repo's readme.


Project Layout

project/
├── src/appname/
│   ├── __init__.py           # __version__ = "0.1.0"
│   ├── __main__.py           # Entry point
│   ├── constants.py          # Shared constants
│   ├── core/                 # Business logic
│   │   ├── models.py         # Data types (dataclasses)
│   │   ├── manager.py        # Business operations
│   │   └── exceptions.py     # Custom exception hierarchy
│   ├── cli/                  # CLI interface
│   │   ├── commands.py       # Command implementations
│   │   ├── parser.py         # Argument parsing
│   │   └── output.py         # Formatted output helpers
│   ├── ui/                   # Qt GUI (if applicable)
│   │   ├── main_window.py
│   │   ├── dialogs/
│   │   └── widgets/
│   ├── utils/                # Stateless utilities
│   │   ├── paths.py
│   │   └── logging.py
│   ├── wrappers/             # Third-party lib wrappers
│   │   └── some_wrapper.py
│   └── stubs/                # Type stubs for untyped libs
├── tests/
│   ├── unit/
│   ├── integration/
│   ├── fixtures/
│   └── conftest.py
├── scripts/                  # Dev utilities
│   ├── bootstrap.py          # Setup script
│   └── check_type_ignore.py
├── docs/
│   ├── coding_rules.md       # Copy from rules/coding_rules.md
│   └── PHILOSOPHY.md          # Copy from PHILOSOPHY.md
├── shared/                   # Cross-cutting (copy from coding_rules_python/reusable/)
│   ├── logging/              # Logging + colored output (if needed)
│   └── shortcuts/            # Keyboard shortcuts (if PySide6 app)
├── AGENTS.md                 # Copy from templates/AGENTS.md, customize
├── CLAUDE.md                 # Symlink → AGENTS.md
├── pyproject.toml            # Copy from templates/pyproject.toml, customize
├── .pre-commit-config.yaml   # Copy from templates/pre-commit-config.yaml
├── .gitignore                # Copy from templates/gitignore
└── .vscode/
    ├── settings.json         # Copy from templates/vscode_settings.json
    └── extensions.json       # Copy from templates/vscode_extensions.json

Setup Checklist

  1. Create directory structure: mkdir -p src/APPNAME tests/unit tests/integration tests/fixtures scripts docs.vscode
  2. Copy template and reference files:

- templates/pyproject.toml → pyproject.toml (update [project] section) - templates/AGENTS.md → AGENTS.md (fill TODO sections) - templates/pre-commit-config.yaml → .pre-commit-config.yaml - templates/gitignore → .gitignore - templates/vscode_settings.json → .vscode/settings.json - templates/vscode_extensions.json → .vscode/extensions.json - rules/coding_rules.md → docs/coding_rules.md - PHILOSOPHY.md → docs/PHILOSOPHY.md - Create symlink: ln -s AGENTS.md CLAUDE.md

  1. Copy reusable code (if needed):

- From coding_rules_python/reusable/ copy modules you need into shared/ - logging/ — colored logging, file rotating logs, CLI output (see setting-up-logging skill) - shortcuts/ — keyboard shortcuts for PySide6 apps (see setting-up-shortcuts skill) - Also copy matching tests from coding_rules_python/reusable_tests/ into your tests/ (e.g., test_shortcuts_base.py, test_shortcuts_manager.py) - Update import paths after copying (reusable. → shared. or your package path, reusable_tests. → your test package)

  1. Create entry points: # src/APPNAME/__init__.py __version__ = "0.1.0" # src/APPNAME/__main__.py import sys def main() -> int: if len(sys.argv) > 1: return cli_main() # CLI mode return gui_main() # GUI mode (if applicable) if __name__ == "__main__": sys.exit(main())
  2. Create initial test: # tests/test_main.py from APPNAME.__main__ import main def test_main_runs(capsys: pytest.CaptureFixture[str]) -> None: assert main() == 0
  3. Initialize environment: git init uv sync --all-extras --group dev uv run pre-commit install uv run poe lint_full uv run poe test
  4. Verify everything works:

- uv run poe app runs the application - uv run poe lint_full passes with 0 errors - uv run poe test passes


Graceful Shutdown

Design every app to be interruptible without corruption, hanging, or ugly tracebacks. The shutdown strategy depends on what the app does:

App type                              → Strategy
─────────────────────────────────────────────────────────────
Simple script/CLI                     → catch KeyboardInterrupt, exit 130
CLI wrapping a quick subtask          → kill process group immediately
CLI wrapping complex tool (vagrant…)  → SIGTERM → wait → SIGKILL
Qt/async app                          → see building-qt-apps skill

Scripts and simple CLIs

# __main__.py
def main() -> int:
    try:
        return run()
    except KeyboardInterrupt:
        return 130  # 128 + SIGINT(2), Unix convention

Subprocess wrappers

Always pass start_new_session=True — creates a process group so you can kill the entire tree, not just the parent.

Quick subtask (immediate kill):

import os, signal, subprocess

process = subprocess.Popen(cmd, start_new_session=True)
try:
    process.wait()
except KeyboardInterrupt:
    os.killpg(process.pid, signal.SIGKILL)

Complex tool wrapper (escalation):

process = subprocess.Popen(cmd, start_new_session=True)
try:
    process.wait()
except KeyboardInterrupt:
    os.killpg(process.pid, signal.SIGTERM)
    try:
        process.wait(timeout=5.0)
    except subprocess.TimeoutExpired:
        os.killpg(process.pid, signal.SIGKILL)

Async subprocess (complex apps using asyncio):

process = await asyncio.create_subprocess_exec(*cmd, start_new_session=True)
try:
    await process.wait()
except asyncio.CancelledError:
    process.terminate()
    try:
        await asyncio.wait_for(process.wait(), timeout=5.0)
    except TimeoutError:
        process.kill()
    raise

Bootstrap Script

# scripts/bootstrap.py
"""Set up development environment."""
import subprocess

def main() -> None:
    subprocess.run(["uv", "sync", "--all-extras", "--group", "dev"], check=True)
    subprocess.run(["uv", "run", "pre-commit", "install"], check=True)
    print("Development environment ready.")

if __name__ == "__main__":
    main()

Adapt to Tech Stack & Domain

After scaffolding, adapt everything to the specific project. The templates are a starting point, not a straitjacket. docs/PHILOSOPHY.md is the only ruling constant — everything else bends to fit the project's tech stack, domain, and constraints.

What to adapt

AreaHow to adapt
Directory layoutAdd/remove/rename directories to match the domain. Not every project needs cli/, ui/, wrappers/, shared/. A data pipeline might need pipelines/, schemas/, extractors/. A web service might need routes/, middleware/, repositories/.
DependenciesAdd domain-specific libraries. Remove unused template defaults. Research current best-in-class libraries for the domain (e.g. SQLAlchemy vs raw asyncpg, Pydantic vs attrs).
pyproject.tomlAdjust ruff rules, pytest markers, basedpyright overrides for the domain. Some domains need relaxed rules (e.g. data science may need broader type: ignore for numpy interop).
AGENTS.mdFill TODO sections with project-specific architecture, key decisions, domain vocabulary, and workflows. This is the agent's primary orientation document — make it specific. Skills section: remove skills the project won't use (e.g. building-multi-ui-apps for a pure CLI), add domain-specific skills (e.g. building-qt-apps, setting-up-shortcuts).
coding_rules.mdExtend or override rules for the domain. Add domain-specific conventions (e.g. database migration rules, API versioning policy, data validation requirements).
Test structureAdjust to match what matters. A CLI tool needs heavy e2e tests. A library needs heavy unit tests. A web service needs API integration tests.
CI/CDAdd domain-appropriate checks (e.g. migration consistency, API schema validation, container builds).

Research before building

When setting up a project in an unfamiliar domain or with unfamiliar libraries:

  1. Research the domain's conventions — look up how well-maintained projects in the same space are structured
  2. Check library compatibility — verify libraries work together and with basedpyright strict mode (some libraries have poor type stubs; plan wrappers early)
  3. Identify domain-specific tooling — some domains have their own linters, formatters, or validation tools that complement the base toolchain
  4. Check for basedpyright known issues — some libraries (numpy, pandas, SQLAlchemy) need specific configuration or stub packages to work cleanly in strict mode

Quick customization checklist

  • Directory layout matches the domain, not the generic template
  • Dependencies are domain-appropriate (researched, not guessed)
  • AGENTS.md describes *this* project, not a generic Python project
  • coding_rules.md has domain-specific additions if needed
  • Test structure reflects what matters most for this project
  • basedpyright config accounts for domain-specific library quirks

平台分布

Codex

36.75%
按下载量换算40

Claude

32.94%
按下载量换算36

Cursor

17.28%
按下载量换算19

Gemini CLI

10.31%
按下载量换算11

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/quick-brown-foxxx/coding_rules_python --skill setting-up-python-projects 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。目前只有一个公开来源,建议同时核对源仓库。

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