What problem does it solve? Multi-agent work often fails through decorative orchestration, dispatch-and-forget delegation, hidden partial states, and premature claims of completion. This Skill enforces disciplined coordination so agents only split work when it materially improves outcomes, track lifecycle states honestly, and integrate only verified outputs. ## Core Features & Use Cases - Topology Selection Discipline: Choose the smallest viable topology (sequential, parallel fan-out, supervisor, coordinator-specialist, critic-reviewer, agent-as-tool) with explicit join conditions and ownership. - Lifecycle and Handoff Control: Track explicit states (created, running, blocked, partial, complete) and select sync, polling, streaming, or push interaction modes with bounded budgets. - Agent Discovery and Capability Fit: Evaluate agent cards, capability manifests, trust boundaries, and compatibility before delegation rather than selecting by label. - Use Case: When designing a coordinator-specialist pipeline where a coding task fans out to remote agents, use this Skill to define return contracts, join artifacts, escalation owners, and verification gates before claiming integration readiness. ## Quick Start Ask the agent to design a delegation topology with explicit roles, join contracts, and lifecycle tracking for your multi-agent task.