Linux data science and AI/ML environment setup - TensorFlow, PyTorch, CUDA, Jupyter
View on GitHubpluginagentmarketplace/custom-plugin-linux
custom-plugin-linux
January 20, 2026
Select agents to install to:
npx add-skill https://github.com/pluginagentmarketplace/custom-plugin-linux/blob/main/skills/data-ai/SKILL.md -a claude-code --skill data-aiInstallation paths:
.claude/skills/data-ai/# Data Ai Skill ## Overview Master Linux environment configuration for data science and machine learning workflows. ## Capabilities - **GPU Setup**: CUDA, cuDNN, NVIDIA drivers - **Python Environments**: Conda, virtualenv, pyenv - **ML Frameworks**: TensorFlow, PyTorch, JAX - **Data Tools**: Jupyter, pandas, numpy - **Containerization**: Docker with GPU support ## Examples ```bash # Check GPU availability nvidia-smi # Create ML environment conda create -n ml python=3.11 conda activate ml pip install torch torchvision ```