Linux data science and AI/ML environment setup - TensorFlow, PyTorch, CUDA, Jupyter
Sets up Linux ML environments with GPU drivers, CUDA, and frameworks like TensorFlow/PyTorch. Activates when you detect GPU hardware or request ML environment configuration.
/plugin marketplace add pluginagentmarketplace/custom-plugin-linux/plugin install custom-plugin-linux@pluginagentmarketplace-linuxThis skill inherits all available tools. When active, it can use any tool Claude has access to.
*-SKILL.mdai-SKILL.mdassets/config.yamlassets/schema.jsondata-SKILL.mdml-SKILL.mdreferences/GUIDE.mdreferences/PATTERNS.mdscripts/validate.pyMaster Linux environment configuration for data science and machine learning workflows.
# Check GPU availability
nvidia-smi
# Create ML environment
conda create -n ml python=3.11
conda activate ml
pip install torch torchvision
This skill should be used when the user asks to "create a hookify rule", "write a hook rule", "configure hookify", "add a hookify rule", or needs guidance on hookify rule syntax and patterns.