orchestrator-workers

What problem does it solve?

In complex AI workflows, dynamic task decomposition is needed when task shapes are not known upfront; this Skill provides a central orchestrator to plan work, assign specialized worker jobs, and synthesize the final results.

Core Features & Use Cases

• Central planning: a single orchestrator decomposes tasks and schedules worker jobs.
• Flexible worker types: supports research, code, retrieval, critique, and more by routing outputs to appropriate workers.
• Iterative replanning: orchestrator reviews outputs, fills gaps, and issues new tasks until completion.
• Synthesis with traceability: combines worker results into a coherent final answer with an auditable plan.
• Use Case: apply to complex, multi-step AI projects where subtask boundaries emerge during execution.

Quick Start

Provide a complex objective to the orchestrator so it plans tasks, assigns worker jobs, executes them, and synthesizes the final result.