multi-agent-orchestration

Routing tasks across multiple AI providers involves selecting the most capable provider for each task based on requirements and capabilities. This Skill automatically matches tasks to providers using a capability matrix, applies fallback strategies when a provider is unavailable, and can dispatch tasks in parallel to compare outputs across providers.

When a provider becomes unavailable or underperforms, the Skill automatically reroutes the task to an alternative provider using fallback strategies. It monitors provider availability and dynamically adjusts routing to maintain reliability and coverage across your workflow.

Yes, this Skill supports parallel task execution across multiple providers simultaneously. You can dispatch the same task to multiple providers in parallel and synthesize their results to produce a coherent, combined answer for decision-making.

The Skill integrates with model discovery and provider capability matrices to automatically detect and incorporate newly available models and providers. This keeps routing decisions current without manual reconfiguration.

Dispatch your task to multiple providers in parallel, then synthesize the results using the Skill's built-in synthesis logic. This approach lets you evaluate provider strengths for your specific use case and select the most suitable output.

No, provider-aware routing automatically selects the best provider based on task requirements and the provider capability matrix. You define task requirements, and the Skill handles provider selection and delegation dynamically.