swarm-advanced

Coordinate distributed agent swarms by initializing a topology (mesh, hierarchical, star, or ring) and assigning specialized agents to parallel tasks. This Skill provides orchestration patterns that spawn agents, distribute work, and manage shared memory across research, development, and testing workflows.

Four swarm topologies suit different coordination needs: mesh for fully connected networks, hierarchical for chain-of-command structures, star for centralized coordination, and ring for sequential task flow. Select based on your workflow's parallelization and dependency requirements.

Implement adaptive, balanced, or specialized agent strategies tailored to your task type. Spawn agents with defined roles—such as code analysis, security scanning, or reporting—then orchestrate parallel execution via the central coordinator to complete complex workflows efficiently.

Yes. This Skill provides workflow monitoring via MCP tools and CLI commands, enabling visibility into agent status, task progress, and knowledge graph updates. Track parallel task orchestration across all agent activities and agent memory storage.

Initialize a star topology with specialized agents for code analysis, security scanning, penetration testing, and reporting. The central coordinator orchestrates parallel scans and vulnerability analysis, then consolidates results into comprehensive audit reports.

The Skill handles advanced orchestration patterns. Familiarity with agent concepts and workflow automation helps, but the provided topologies and strategies abstract complexity. Start with a quick-start mesh initialization and expand to specialized topologies as needed.