agent-orchestrator

Automating complex multi-step workflows with sub-agents involves decomposing macro tasks into manageable subtasks, spawning specialized autonomous agents with dynamically generated SKILL.md files, and coordinating file-based communication to consolidate results. This multi-agent orchestration streamlines execution by managing the agent lifecycle through status.json and inbox/outbox directories.

Task decomposition in multi-agent orchestration is the process of breaking down large, complex macro tasks into smaller, manageable subtasks. These subtasks are then delegated to specialized autonomous sub-agents that handle specific functions like data collection or analysis, coordinating their progress and merging results upon completion.

Sub-agents communicate during task orchestration via file-based directories using inbox and outbox folders. The orchestrator manages the agent lifecycle and tracks progress through a status.json file, facilitating inter-agent communication and consolidating the final results before dissolving the agents.

Yes, you can use multi-agent orchestration to automate report generation by spawning separate specialized sub-agents for data collection, analysis, writing, and review. The orchestrator coordinates these autonomous agents, manages their file-based communication, and consolidates their individual outputs into a single comprehensive report.

No external dependencies are required to run multi-agent task orchestration. The skill manages the entire agent lifecycle internally using dynamically generated SKILL.md files, status.json for progress monitoring, and local file-based inbox/outbox directories to facilitate inter-agent communication and result consolidation.