Before running a big science job on your computer, it is smart to check your system's power. This tool looks at your CPU cores, GPUs, memory, and disk space. It then gives advice on the best way to run your work.
You might need to use parallel processing or GPU acceleration for large datasets. The tool tells you which libraries to use, like joblib or PyTorch. It also shows how many workers to set for optimal speed.
Anyone doing data analysis, model training, or simulations will benefit. Use it at the start of your task to avoid running out of memory or crashing. It helps you make informed decisions about your computational approach.
Global
mkdir -p ~/.claude/skills/get-available-resourcesProject
mkdir -p .claude/skills/get-available-resourcesSource Repository
Find Skillsvercel-labs/skills
Find and install the perfect skill to extend your AI agent
Microsoft Foundrymicrosoft/azure-skills
Build, deploy, and improve AI agents on Microsoft Foundry from start to finish
Azure Aimicrosoft/azure-skills
Search, transcribe, and analyze with Azure AI tools for smarter apps
Azure Hosted Copilot Sdkmicrosoft/azure-skills
Build, deploy, and manage your Copilot SDK apps on Azure with ease
Triagemattpocock/skills
Triage issues with a state machine driven by clear roles and agent briefs
Handoffmattpocock/skills
Hand off your work to another AI agent with a clear summary
Image Editagentspace-so/runcomfy-agent-skills
Smart router picks the best AI model for your image editing needs
Agentspaceagentspace-so/skills
See your AI agent's live folder from any browser instantly