orchestrator

You can manage task dependencies and parallel execution by defining distinct phases in your skill logic. The orchestrator parses SKILL.md frontmatter to coordinate these multi-step workflows, spawning subagents to run independent tasks concurrently while ensuring dependent tasks execute in the correct order.

Phase-based execution for complex task orchestration organizes skill logic into distinct, manageable stages. This ensures tasks like data fetching, processing, and report generation run sequentially based on defined dependencies, while independent tasks execute in parallel to optimize overall workflow time.

To coordinate subagent spawning, the system parses SKILL.md frontmatter to extract defined phases and dependencies. It then uses this metadata to determine execution order and spawns subagents for parallel processing of independent tasks within the agentic framework.

Yes, you can use the orchestrator skill for daily planning rituals and similar complex workflows. It manages execution by organizing tasks into phases, handling dependency management, and providing error handling with fallbacks to ensure robust recovery during multi-step task processing.

The orchestrator skill handles error recovery and fallbacks for parallel tasks by providing robust mechanisms to manage failures. It gracefully recovers from errors or reports them, ensuring organized skill execution even when concurrent subagent processing encounters issues.

You need an orchestrator for dependency management in an agentic framework when your workflow requires strict execution order across multiple steps. It is essential when tasks have dependencies that must complete before subsequent phases begin, or when parallel processing is needed for independent tasks.