What problem does it solve? Coordinating multiple AI agents manually leads to lost context, duplicated work, and unclear ownership. This Skill provides structured multi-agent coordination through Orca, so tasks are dispatched, supervised, and completed with explicit state tracking. ## Core Features & Use Cases - Structured Agent Coordination: Send threaded messages, run blocking ask/reply flows, and dispatch tasks to supervised Orca workers. - Task DAGs and Decision Gates: Decompose work across agents, wait on worker_done or escalation events, and run coordinator loops with conditional gates. - Version-Matched Guidance: Loads the orchestration reference directly from the installed Orca binary via ORCA skills get orchestration, so instructions never drift from the runtime. - Use Case: Split a large refactor into subtasks, assign each to an Orca worker, monitor completion events, and gate the merge step on all workers reporting done. ## Quick Start Ask the assistant to decompose your project into tasks and coordinate Orca workers to complete them, starting by loading the guide with the resolved Orca executable.
