planning-multi-agent-work

You coordinate multi-agent tasks by providing a structured plan that decomposes work into clearly owned steps with defined interfaces and explicit integration checkpoints, enabling parallel progress without conflicts.

Task decomposition for parallel work streams breaks large initiatives into discrete, owned tasks with explicit handoffs and interfaces. It establishes validation points and success criteria to ensure components integrate smoothly during large refactors or cross-team research.

To plan a large refactor with multiple agents, describe a detailed, parallelizable task decomposition that includes ownership assignments, defined interfaces, and validation checkpoints. This requires a clear spec and explicit dependencies to ensure parallel progress.

Yes, multi-agent coordination requires a clear spec before execution. You must also provide ownership assignments, defined interfaces, explicit dependencies, and integration checkpoints to ensure parallel work streams progress without conflicts.

Use structured task decomposition for incident investigations requiring parallel work streams. It breaks the investigation into clearly owned, executable steps with sync points, defined interfaces, and validation checkpoints to coordinate multiple agents effectively.

The best way to establish validation points is by creating a structured plan that defines explicit dependencies, integration checkpoints, and success criteria for each stage. This ensures parallel work streams integrate smoothly without bottlenecks.