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python-venv-managementPython venv management 搜索

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

306

周安装

13

GitHub Stars

公开资料未说明

下载量

107
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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:python-venv-management(Python venv management 搜索)
来源仓库:https://github.com/findinfinitelabs/chuuk
仓库路径:skills/python-venv-management
安装命令:
npx skills add https://github.com/findinfinitelabs/chuuk --skill python-venv-management
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/findinfinitelabs/chuuk --skill python-venv-management

简介

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。

  • 适合让 Agent 管理虚拟环境、整理依赖版本或处理测试入口问题。
  • 使用时需确认项目虚拟环境、依赖版本和测试入口,避免误改生产数据。
  • 安装方式:通过 npx skills add 从指定 GitHub 仓库添加。
  • 涉及执行脚本或访问数据库时,应先明确运行目录和输入输出范围。

SKILL.md

Python Virtual Environment Management

Core Principle

ALWAYS use the project's.venv when running Python commands in the terminal. NEVER run Python commands without first activating or using the virtual environment.

Critical Rules

  1. Check for.venv first - Always verify.venv exists before running Python commands
  2. Use activation commands - Activate.venv in every terminal session
  3. Shell-aware - Detect shell type (Bash, Zsh, PowerShell) and use appropriate commands
  4. No global Python - Never use system Python when.venv exists
  5. Fail fast - If.venv doesn't exist, create it or fail clearly
  6. macOS default - Prefer Bash/Zsh patterns on macOS

Shell Detection & Commands

macOS Terminal (Zsh - Default)

# Activate .venv
source .venv/bin/activate

# Run Python commands
python app.py
pip install -r requirements.txt

# Check if activated
echo $VIRTUAL_ENV                 # Should show .venv path

# Direct execution (no activation needed)
.venv/bin/python app.py
.venv/bin/pip install package

macOS PowerShell

# Activate .venv
./.venv/bin/Activate.ps1

# Run Python commands
python -m <module>
pip install <package>

# Check if activated
$env:VIRTUAL_ENV                  # Should show .venv path

Linux Bash

# Activate .venv
source .venv/bin/activate

# Run Python commands
python app.py
pip install -r requirements.txt

# Check if activated
echo $VIRTUAL_ENV                 # Should show .venv path

Windows PowerShell

# Activate .venv
.\.venv\Scripts\Activate.ps1

# Run Python commands
python -m <module>
pip install <package>

# Check if activated
$env:VIRTUAL_ENV                  # Should show .venv path

Windows Command Prompt

# Activate .venv
.venv\Scripts\activate.bat

# Run Python commands
python app.py
pip install -r requirements.txt

Command Patterns

Pattern 1: Direct Execution (PREFERRED - No activation needed)

# macOS/Linux - Most reliable method
.venv/bin/python app.py
.venv/bin/python -m flask run
.venv/bin/pip install package
# PowerShell
./.venv/bin/python app.py
./.venv/bin/python -m flask run

Pattern 2: Activation + Command (macOS Zsh)

source .venv/bin/activate && python app.py

Pattern 3: Activation + Command (PowerShell)

./.venv/bin/Activate.ps1 ; python app.py

OS-Specific Paths

OSActivation ScriptPython Executable
macOS (Zsh).venv/bin/activate.venv/bin/python
macOS (PowerShell).venv/bin/Activate.ps1.venv/bin/python
Linux (Bash).venv/bin/activate.venv/bin/python
Windows (PowerShell).venv\Scripts\Activate.ps1.venv\Scripts\python.exe
Windows (CMD).venv\Scripts\activate.bat.venv\Scripts\python.exe

Implementation Checklist

Before running ANY Python command, verify:

  • Is this a Python project? (Check for.venv, requirements.txt, *.py files)
  • Does.venv exist? (Check for.venv directory)
  • What shell am I using? (PowerShell vs Bash/Zsh)
  • Am I using the correct activation syntax?
  • Can I use direct.venv/bin/python instead of activating?

Standard Workflows

Workflow 1: Running Python Scripts

PowerShell:

# Method 1: Activate then run
./.venv/bin/Activate.ps1 ; python app.py

# Method 2: Direct execution (PREFERRED)
./.venv/bin/python app.py

Bash:

# Method 1: Activate then run
source .venv/bin/activate && python app.py

# Method 2: Direct execution (PREFERRED)
.venv/bin/python app.py

Workflow 2: Installing Packages

PowerShell:

./.venv/bin/Activate.ps1 ; pip install <package>
# OR
./.venv/bin/python -m pip install <package>

Bash:

source .venv/bin/activate && pip install <package>
# OR
.venv/bin/python -m pip install <package>

Workflow 3: Running Flask/Django

PowerShell:

./.venv/bin/Activate.ps1 ; python app.py
# OR
./.venv/bin/python app.py

Bash:

source .venv/bin/activate && python app.py
# OR
.venv/bin/python app.py

Virtual Environment Setup

Check if.venv Exists

# PowerShell
Test-Path .venv

# Bash
test -d .venv && echo "exists" || echo "missing"

Create.venv if Missing

# PowerShell
python -m venv .venv

# Bash
python3 -m venv .venv

Verify Activation

# PowerShell - Should show .venv path
$env:VIRTUAL_ENV

# Bash - Should show .venv path
echo $VIRTUAL_ENV

Common Errors & Solutions

Error: "Activate.ps1 cannot be loaded"

Solution: Set PowerShell execution policy

Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser

Error: "python: command not found"

Solution: Use python3 or direct.venv path

# Use python3
python3 -m venv .venv

# Or use .venv directly
./.venv/bin/python app.py

Error: "No module named 'flask'"

Solution: Ensure.venv is activated and packages installed

./.venv/bin/Activate.ps1 ; pip install -r requirements.txt

Best Practices

  1. Always use.venv/bin/python directly - Most reliable method
  2. Never assume system Python - Always check for.venv
  3. Detect shell type - Use appropriate activation syntax
  4. Fail gracefully - If.venv missing, create it first
  5. Document requirements - Keep requirements.txt updated
  6. Use python -m - More reliable than calling pip/flask directly

Terminal Command Template

Use this template for ALL Python-related terminal commands:

# Step 1: Detect shell
shell_type = "powershell" if on_windows or using_pwsh else "bash"

# Step 2: Check .venv exists
if not exists(".venv"):
    create_venv()

# Step 3: Build command with activation
if shell_type == "powershell":
    command = "./.venv/bin/Activate.ps1 ; <your_command>"
else:
    command = "source .venv/bin/activate && <your_command>"

# Step 4: Execute
run_in_terminal(command)

Quick Reference

TaskPowerShellBash
Activate./.venv/bin/Activate.ps1source.venv/bin/activate
Run Python./.venv/bin/python app.py.venv/bin/python app.py
Install package./.venv/bin/pip install pkg.venv/bin/pip install pkg
Check activation$env:VIRTUAL_ENVecho $VIRTUAL_ENV
Deactivatedeactivatedeactivate

Integration with Other Skills

  • git-workflow-management: Activate.venv before running git hooks with Python
  • code-documentation-standards: Ensure.venv active when generating docs
  • ai-training-data-generation: Activate.venv before training scripts

Example Commands

Starting Flask App

# PowerShell (PREFERRED)
./.venv/bin/python app.py

# Or with activation
./.venv/bin/Activate.ps1 ; python app.py

Installing Requirements

# PowerShell (PREFERRED)
./.venv/bin/python -m pip install -r requirements.txt

# Or with activation
./.venv/bin/Activate.ps1 ; pip install -r requirements.txt

Running Tests

# PowerShell (PREFERRED)
./.venv/bin/python -m pytest tests/

# Or with activation
./.venv/bin/Activate.ps1 ; pytest tests/

Multiple Commands

# PowerShell
./.venv/bin/Activate.ps1 ; pip install flask ; python app.py

# Bash
source .venv/bin/activate && pip install flask && python app.py

Validation

Before completing any Python task, verify:

  1. ✅.venv exists in project root
  2. ✅ Correct shell syntax used (PowerShell vs Bash)
  3. ✅ Virtual environment activated in command
  4. ✅ No system Python used accidentally
  5. ✅ Command tested and working

Time Savings

Using this skill saves time by:

  • ❌ No more "python: command not found" errors
  • ❌ No more "No module named X" errors
  • ❌ No more debugging which Python is running
  • ✅ Consistent environment every time
  • ✅ One command that always works
  • ✅ No manual activation needed

Remember

The most important rule: If you're running Python code, you MUST use.venv. No exceptions.

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

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能力 2

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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。

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执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/findinfinitelabs/chuuk --skill python-venv-management 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。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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