multi-agent-orchestration

Multi-agent orchestration solves context loss by using a conductor agent to coordinate subagents, enforcing scoped workspaces and plan-based handoffs to minimize prompt drift across execution phases.

Enforcing TDD lifecycles requires strict phase gates and plan-driven progress tracking, allowing a conductor to coordinate subagents and ensure code quality and traceability across parallel execution.

You can design multi-agent architecture using predefined orchestration patterns like Orchestra or Atlas, which structure a conductor and several subagents to execute phased workstreams efficiently.

Yes, multi-agent orchestration supports parallel task execution on compatible platforms by utilizing centralized plan files with phase records to track progress and maintain context across agents.

No dependencies are required to implement plan file architecture, as the skill provides the structural templates needed to centralize plans, track phases, and coordinate subagent handoffs natively.

Ad-hoc prompting fails because it cannot maintain context or enforce lifecycles across multiple agents, whereas a structured conductor architecture provides plan-file tracking and quality gates to scale collaboration safely.