From ai-maestro-orchestrator-agent
Distributes tasks to agents by priority, dependencies, and agent state. Used by AI Maestro orchestrator for task assignment and load balancing.
How this skill is triggered — by the user, by Claude, or both
Slash command
/ai-maestro-orchestrator-agent:amoa-task-distributionamoa-mainThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Distributes tasks to agents by priority, dependencies, and agent state.
references/blocked-task-handling.mdreferences/dependency-management.mdreferences/distribution-workflow-checklist.mdreferences/error-handling.mdreferences/examples.mdreferences/load-balancing.mdreferences/op-assign-task.mdreferences/op-check-dependencies.mdreferences/op-move-task-to-blocked.mdreferences/op-query-ready-tasks.mdreferences/op-reassign-task.mdreferences/op-restore-task-from-blocked.mdreferences/op-select-agent.mdreferences/op-sort-tasks-by-priority.mdDistributes tasks to agents by priority, dependencies, and agent state.
Requires gh CLI, AI Maestro API, and familiarity with amoa-label-taxonomy and amoa-messaging-templates.
status:ready tasks, sort by priority (critical > high > normal > low), skip tasks with unresolved blockedBy depsassign:<agent> + status:in-progress labels, send message via agent-messaging — see op-assign-task.mdDependency types: Hard (block), Soft (assign with note), None (parallel). Circular deps → escalate. See dependency-management.md
Load balancing: prefer lowest-load agent. See load-balancing.md
Blocked tasks: acknowledge, record, move to Blocked column, escalate. See blocked-task-handling.md
Copy this checklist and track your progress:
Full checklist: distribution-workflow-checklist.md
Assignment confirmation (label + ACK) and delegation log.
Input: 3 ready tasks, 2 agents — Output: Critical task assigned, labels updated, ACK received. See examples.md
npx claudepluginhub emasoft/ai-maestro-orchestrator-agentCoordinates multiple AI agents through a single orchestrator: decomposes tasks, routes to specialists, prevents duplication, and enforces quality gates with heartbeat monitoring.
Decompose complex tasks into parallel units, design dependency graphs with blockedBy/blocks, and write effective task descriptions with acceptance criteria.
Decomposes goals into parallel tasks, assigns agents, monitors progress, and verifies results. For AI Maestro orchestration workflows.