Agent Delegate: Multi-Agent Orchestration Framework

Every AI operator hits the same wall: one agent, one task at a time. Agent Delegate is a battle-tested framework for splitting work across multiple AI sub-agents, tracking their progress, merging results, and handling failures — all from a single parent session.

Whether you need parallel code review, a sequential research-to-implementation pipeline, or a continuous supervisor loop that manages an army of workers, this skill gives you the exact patterns, commands, and templates to make it happen. Includes four delegation patterns (fire-and-track, parallel fan-out, sequential pipeline, supervisor loop), failure handling with retry and escalation, a task template that ensures sub-agents succeed on the first try, and real-world examples like a full PR pipeline.

Stop serializing work that should be parallel. Stop losing context on tasks that are too big for one session. Agent Delegate turns your single-agent setup into a coordinated workforce — without the chaos.