使用方法
- 复制安装命令,在自己的智能体环境安装前先检查源码包。
- 从原始文档核对所需工具、凭据和支持的宿主。
- 说明输入材料与期望交付物,并对照来源检查输出。
npx skills add https://github.com/reflex-dev/agent-skills --skill setup-python-env开始前需了解
- 安装不包含模型订阅、API 额度或访问文件的权限。
- 仓库星数和安装量反映活跃情况,不等于独立质量或安全测试。
按源仓库内容呈现,保留标题、案例、代码、表格、链接以及原文引用的演示图片。
Python Environment Setup for Reflex
This skill handles creating a Python virtual environment and installing Reflex.
Step 1: Check for an existing virtual environment
Look for a .venv directory in the project root:
ls -d .venv 2>/dev/nullIf .venv exists, activate it and skip to Step 3.
source .venv/bin/activateStep 2: Create the virtual environment
If no .venv exists, determine which tools are available.
Option A: uv is available
Check if uv is installed:
uv --versionIf uv is found:
- If no
pyproject.tomlexists, initialize one:
uv init --bare- Create the virtual environment:
uv venv .venv- Activate it:
source .venv/bin/activateSkip to Step 3.
Option B: Fall back to python / pip
If uv is not available, check the Python version:
python3 --versionIf the version is older than 3.10, stop and inform the user:
Python 3.10 or newer is required. Please install a more up-to-date version of Python before continuing.
If the version is 3.10 or newer:
- Create the virtual environment:
python3 -m venv .venv- Activate it:
source .venv/bin/activate- Upgrade pip:
pip install --upgrade pipStep 3: Install Reflex
Check if Reflex is already installed:
pip show reflex 2>/dev/nullIf Reflex is not installed:
If using uv:
uv add reflexIf using pip:
pip install reflex



