What problem does it solve?
Manually coordinating multiple AI agents for complex, multi-step tasks is inefficient and prone to errors. This skill introduces and guides you through the orchestration system, enabling seamless automation of sequential, parallel, and conditional agent execution.
Core Features & Use Cases
- Multi-Agent Coordination: Seamlessly chain agents for sequential tasks, run them in parallel for speed, or apply conditional logic for dynamic decision-making.
- Workflow Visualization & Control: Provides a visual graph of your workflow, interactive control at checkpoints, and automatic handling of retries.
- Custom Agent Integration: Guides on how to import and use your existing custom agents within the orchestration framework, ensuring all your AI tools work together.
- Use Case: You need to build a CI/CD pipeline that involves linting, running tests, security scanning (all in parallel), and then conditionally deploying if all checks pass. This skill helps you define and execute this complex, multi-agent workflow.
Quick Start
Explain how to coordinate multiple agents for a CI/CD pipeline with parallel checks and conditional deployment.