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python venv
Automates pyenv-based virtual environment creation and enforces local binary usage for Python projects.
Free
python venv
Example session with this skill installed
Set up this Python project and install the dependencies from requirements.txt.
- Read your context and instructions
- Compiled the python venv
I have initialized a local Python environment for this project. I detected no existing virtual environment, so I created a new one using the version pinned in .python-version.
Environment Setup Log
| Action | Command / Detail | Status |
|---|---|---|
| Check pyenv | pyenv --version | Success (2.3.35) |
| Version Sync | Found 3.11.5 in .python-version | Pinned |
| Create Venv | pyenv exec python -m venv .venv | Created |
| Git Ignore | Added .venv/ to .gitignore | Updated |
| Install Deps | .venv/bin/pip install -r requirements.txt | 12 packages installed |
# Example of how I will run your code:
.venv/bin/python main.py
Next steps
- I will now use
.venv/bin/pythonfor all script executions. - If you add new packages, tell me to update the environment.
- You can now run the application by asking me to start
main.py.
Connects securely to your tools. The creator never sees your data.
About this skill
Managing Python environments manually leads to broken system dependencies and "it works on my machine" bugs. This skill automates the creation and usage of isolated virtual environments to keep your project clean and reproducible.
What it does
- Environment detection identifies existing
.venv,venv, orenvdirectories to prevent redundant setups. - Dependency pinning uses
pyenvto manage Python versions instead of relying on the system interpreter. - Path management executes commands using absolute paths to environment binaries, avoiding activation issues in non-interactive shells.
- Automated installation parses
requirements.txt,pyproject.toml, orsetup.pyto bootstrap the environment. - Git hygiene automatically adds environment folders to
.gitignoreto prevent committing local binaries.
How it works
- Scan the project root for existing virtual environments and the appropriate dependency manifest.
- Verify
pyenvavailability and install or select the correct Python version based on.python-version. - Initialize the
.venvand install all required packages using the localpipbinary. - Execute all subsequent Python scripts or tests using the specific
.venv/bin/pythonpath.
Frameworks & tools
This skill works with pyenv, pip, and standard Python packaging manifests including requirements.txt, setup.py, and pyproject.toml.
Why this beats prompting it yourself
Manual prompts often result in the AI using sudo pip install or generic python3 commands that pollute your global namespace. This skill enforces a strict execution path using the local virtual environment's binaries every single time.
Use cases
- Initialize a fresh repository with a version-pinned local environment.
- Run scripts in a legacy project without manually sourcing activation files.
- Ensure CI/CD or automated agents don't break system-level Python packages.
- Standardize environment setup across a team using
pyenv.
Known limitations
Requires pyenv to be pre-installed on the host system. It does not support Conda or Poetry-specific environment management.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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