From custom-plugin-linux
Linux data science and AI/ML environment setup - TensorFlow, PyTorch, CUDA, Jupyter
How this skill is triggered — by the user, by Claude, or both
Slash command
/custom-plugin-linux:data-aiThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Master Linux environment configuration for data science and machine learning workflows.
Master 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
Guides collaborative design exploration before implementation: explores context, asks clarifying questions, proposes approaches, and writes a design doc for user approval.
Creates structured, bite-sized implementation plans from specs or requirements before writing code. Useful for breaking down multi-step tasks into testable steps with file structure and task boundaries.
Resolves in-progress git merge or rebase conflicts by analyzing history, understanding intent, and preserving both changes where possible. Runs automated checks after resolution.
npx claudepluginhub pluginagentmarketplace/custom-plugin-linux --plugin custom-plugin-linux