What problem does it solve? Coordinating multiple AI agents across complex projects requires manual orchestration, task delegation, and monitoring. This Skill provides cloud-based swarm deployment with event-driven workflow automation, eliminating the need to build custom multi-agent coordination infrastructure. ## Core Features & Use Cases - Swarm Management: Initialize swarms with hierarchical, mesh, ring, or star topologies, spawn specialized agents (researcher, coder, analyst, optimizer, coordinator), and scale or destroy swarms on demand. - Workflow Automation: Create event-driven workflows with dependency management, parallel execution, retry policies, and message queue processing for async long-running tasks. - Intelligent Agent Assignment: Use vector similarity matching to assign the optimal agent to each task based on capabilities and past performance. - Use Case: Build a CI/CD pipeline where linting, unit tests, and integration tests run in parallel, followed by build, security scan, and staged deployment, all triggered automatically on GitHub push events. ## Quick Start Initialize a hierarchical swarm with 8 agents and orchestrate the task of building a REST API with authentication and database integration.
