ck:team

Parallel agent teams coordinate concurrent code review and debugging by spawning independent teammate sessions with isolated contexts, monitoring progress via events, and synthesizing outputs into summary reports. This preserves structure and accountability across independent workstreams.

Multi-session AI agent orchestration for research synthesis uses template-driven workflows to spawn independent researcher teammates. It manages shared task coordination, monitors completion events, and generates summary reports before safely shutting down the team.

Parallel implementation tasks run by applying the cook template to orchestrate developers and a tester. Teammates spawn with isolated context windows to plan, build, test, and finalize the work concurrently, followed by clean shutdown and cleanup.

Yes, Agent Teams enablement is required to run parallel multi-role agent collaboration. The orchestration executes template-specific TeamCreate, TaskCreate, teammate spawn with team_name, progress monitoring, report generation, and TeamDelete commands.

Task coordination monitors concurrent workstreams through event-driven monitoring of spawned teammates. It tracks completion across independent sessions and synthesizes their isolated outputs into a shared summary report before executing safe team deletion.

Parallel orchestration for adversarial debugging is limited by the need for template-specific workflows and Agent Teams enablement. It requires explicit TeamCreate and TeamDelete execution, meaning workflows lacking safe shutdown protocols may lose structure or accountability.