What it does
Set up a Python virtual environment and install Reflex
Skills ZICQ category:Agent Workflows setup-python-env
Set up a Python virtual environment and install Reflex. Use when initializing a new Reflex project, setting up a development environment, or when the user needs to create a venv and install dependencies. Load when there is no .venv directory, when the user asks to start a new Reflex app, or when imports fail due to missing packages.
Official URL:skills.sh
Intro in this page language first. The official description stays in its original wording; we do not rewrite SKILL.md.
Set up a Python virtual environment and install Reflex
initializing a new Reflex project, setting up a development environment, or when the user needs to create a venv and install dependencies. Load when there is no .venv directory, when the user asks to start a new Reflex app, or when imports fail due to missing packages
Per Agent Skills progressive disclosure: name and description load at startup (~100 tokens); the full SKILL.md body loads when the skill activates; scripts/, references/, and assets/ load only as needed. This file's sections: Python Environment Setup for Reflex; Step 1: Check for an existing virtual environment; Step 2: Create the virtual environment; Option A: `uv` is available; Option B: Fall back to `python` / `pip`; Step 3: Install Reflex. It includes spec-recommended sections: step-by-step instructions.
File analysis: instruction-only skill (SKILL.md). The agent loads the full body when activated.
Python Environment Setup for ReflexStep 1: Check for an existing virtual environmentStep 2: Create the virtual environmentOption A: `uv` is availableOption B: Fall back to `python` / `pip`Step 3: Install ReflexIf using `uv`:If using `pip`:
Source category:skills.sh agent-skill
namesetup-python-envdescriptionInvocation syntax and available tools depend on your Agent client. Client integration guide ↗
Choose the target agent and installation scope, keep referenced package files, then verify the skill appears in the client's catalog.
Copy these instructions to a compatible agent and confirm the target directory matches your client.
Install the agent skill "setup-python-env" into my project. The full SKILL.md and official description are at https://zicq.com/en/skills/skl-9436f60a0735e79a-Setup-Python-Env.html Save it as .cursor/skills/setup-python-env/SKILL.md or .claude/skills/setup-python-env/SKILL.md and keep the frontmatter name and description exactly as-is.
Requires Node.js and npx. First inspect the repository's skill list to confirm the name.
npx skills add 'https://github.com/reflex-dev/agent-skills' --list
npx skills add 'https://github.com/reflex-dev/agent-skills' --skill 'setup-python-env'
The CLI lets you choose the agent interactively. The default scope is the project; use -g for user scope. Confirm package availability with the discovery command, then use npx skills list to inspect installed skills.
This skill handles creating a Python virtual environment and installing Reflex.
Look for a .venv directory in the project root:
ls -d .venv 2>/dev/null
If .venv exists, activate it and skip to Step 3.
source .venv/bin/activate
If no .venv exists, determine which tools are available.
uv is availableCheck if uv is installed:
uv --version
If uv is found:
If no pyproject.toml exists, initialize one:
uv init --bare
Create the virtual environment:
uv venv .venv
Activate it:
source .venv/bin/activate
Skip to Step 3.
python / pipIf uv is not available, check the Python version:
python3 --version
If 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 pip
Check if Reflex is already installed:
pip show reflex 2>/dev/null
If Reflex is not installed:
uv:uv add reflex
pip:pip install reflex
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