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Capabilities define what agents can do (skills), which AI models they use, and what security/compliance rules they must follow (policies). These resources work together to control agent behavior and ensure safe, compliant automation.

Quick Start

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Output:
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Skills

Agent capabilities including APIs, CLIs, cloud SDKs, and custom functions. Skills replace the V1 concepts of “sources” and “tools” with a unified system.

List Skills

Get Skill Details

Create Skill

Skill Types:

Update Skill

Delete Skill

Validate Skill

Models

LLM models available to agents for task execution.

List Models

Available Models:

Get Model Details

Set Default Model

The default model is used when agents don’t specify a particular model. You can override this per-agent in the agent configuration.

Policies

Security and compliance policies using Open Policy Agent (OPA).

List Policies

Get Policy Details

Create Policy

Common Policy Examples:

Update Policy

Delete Policy

Validate Policy

Best Practices

  • Organize skills by domain (aws-, kubernetes-, github-*)
  • Reuse shared skills instead of duplicating
  • Add clear descriptions and examples to all skills
  • Version control skill and policy definitions
  • Test skills and policies before production use
  • Use GPT-4 for complex reasoning, GPT-3.5 for simple tasks
  • Monitor model usage and costs per agent
  • Start with permissive policies, enforce gradually
  • Document policy intent with clear comments
  • Only grant skills agents actually need
  • Rotate credentials regularly

Command Reference

Next Steps

Core Resources

Apply capabilities to agents and teams

Execution Resources

Execute tasks with configured capabilities

Infrastructure

Configure environments with policies

Smart Execution

Execute tasks with automatic planning