luminaris-orchestrator

Task decomposition breaks down complex feature development requests into structured execution plans. It analyzes natural language tasks, selects relevant skills, and delegates components to implementing agents for precise, organized workflow execution.

To generate an execution plan, submit a natural language description of your complex feature request. The system analyzes the task, matches it with appropriate skills in the correct order, and produces a structured plan for implementation agents.

Task orchestration requires access to the Luminaris platform and relevant skills for execution. The orchestrator selects and orders these skills automatically, but the underlying platform environment must be available to execute the structured plan.

Yes, you can use natural language to describe workflows. The orchestrator deciphers your plain text task descriptions, matches them with appropriate skills, and determines the correct execution order for complex features and workflows.

The best way to structure execution planning is through automated task decomposition. The orchestrator analyzes your request, selects matching skills, sequences them correctly, and delegates structured plans to implementing agents for collaborative execution.