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ZICQ

Skills ZICQ category:Agent Workflows setup-python-env

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.

422 installs

Official URL:skills.sh

What this skill does

Intro in this page language first. The official description stays in its original wording; we do not rewrite SKILL.md.

What it does

Set up a Python virtual environment and install Reflex

When to use it

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

How agents load it

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

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

SKILL.md & Agent activation

Official spec ↗
name
setup-python-env
description
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.
  1. DiscoverThe client exposes names and descriptions to the agent.
  2. ActivateYour request or the task context selects the skill and loads its instructions.
  3. Load resourcesReferenced scripts, documentation and assets are used when needed.

Invocation syntax and available tools depend on your Agent client. Client integration guide ↗

Install this skill

Skills CLI ↗

Choose the target agent and installation scope, keep referenced package files, then verify the skill appears in the client's catalog.

Ask your Agent to install

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.

Full package on GitHub ↗

Install from the terminal · Skills CLI

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.

Readable layout

name: setup-python-env description: > 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.

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/null

If .venv exists, activate it and skip to Step 3.

source .venv/bin/activate

Step 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 --version

If uv is found:

  1. If no pyproject.toml exists, initialize one:

    uv init --bare
    
  2. Create the virtual environment:

    uv venv .venv
    
  3. Activate it:

    source .venv/bin/activate
    

Skip to Step 3.

Option B: Fall back to python / pip

If 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:

  1. Create the virtual environment:

    python3 -m venv .venv
    
  2. Activate it:

    source .venv/bin/activate
    
  3. Upgrade pip:

    pip install --upgrade pip
    

Step 3: Install Reflex

Check if Reflex is already installed:

pip show reflex 2>/dev/null

If Reflex is not installed:

If using uv:

uv add reflex

If using pip:

pip install reflex

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