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Agent Skills

Reusable skill modules for AI agents operating on HPC systems and scientific data.

Overview​

Agent Skills is a framework for building modular, composable skills that AI agents can use for scientific computing, HPC tasks, and research automation. Enables rapid development of specialized research agents.

Key Features​

  • Modular Architecture: Build and compose skills for different scientific tasks
  • Agent Framework Agnostic: Works with any agent framework
  • HPC Integration: Native skills for cluster management and job orchestration
  • Scientific Computing: Pre-built skills for common research tasks
  • Extensible: Easy to create domain-specific skills for specialized research

Technology Stack​

  • Language: Python
  • Tags: AI Agents, Skills, Experimental, HPC, Research Automation
  • Source Organization: AI4HPC

Repository​

📦 GitHub: ai4hpc/agent-skills

Use Cases​

  • Building specialized research agents
  • Composing complex scientific workflows
  • HPC task automation through agent skills
  • Rapid prototyping of research automation systems

Getting Started​

Visit the Agent Skills GitHub repository for documentation, skill templates, and examples.

Status​

Experimental - Under active development. Community contributions encouraged.