skill-orchestrator

Workflow orchestration coordinates dependent skills by analyzing prerequisites, building execution plans with dependency graphs, and running independent tasks concurrently. It handles dependencies, parallelization, and error recovery to synthesize results across multi-skill pipelines without manual intervention.

Yes. Orchestration automates task management by decomposing complex tasks into dependent skill executions, validating prerequisites, identifying parallelizable components, and managing failures. It delivers coordinated outcomes across interdependent components with built-in error handling.

Parallel processing identifies independent skills within your workflow and executes them simultaneously, reducing total execution time. Orchestration builds dependency graphs to ensure prerequisites complete before dependent tasks run, optimizing throughput across complex multi-skill pipelines.

Orchestration provides robust error handling and recovery mechanisms throughout multi-skill execution. It validates prerequisites upfront, monitors execution phases, manages failures gracefully, and includes performance budgeting to ensure reliable workflow completion even when individual skills encounter issues.

Orchestration requires defining skills, their dependencies, and execution parameters. It handles prerequisite validation and execution planning internally, so you provide task decomposition and skill definitions; it manages the dependency analysis, parallelization, and coordination automatically.

Use orchestration for multi-skill workflows with dependencies, parallel execution potential, or error recovery needs. Manual coordination works for simple linear tasks, but orchestration eliminates errors, saves time through parallelization, and scales to complex phase-based plans and parallel groups efficiently.