From ai-maestro-orchestrator-agent
Decomposes dev goals into parallel tasks for AI agents, assigns up to 20, monitors every 10-15min, verifies 4 loops before PR integration. For task orchestration in AI Maestro.
npx claudepluginhub emasoft/ai-maestro-orchestrator-agentThis skill uses the workspace's default tool permissions.
Decomposes goals into parallel tasks, assigns agents, monitors progress, and verifies results. For guardrails and rules, see skill `amoa-orchestration-guardrails`.
README.mdreferences/agent-selection-guide-part1-language-agents.mdreferences/agent-selection-guide-part2-specialized-agents.mdreferences/agent-selection-guide-part3-decision-selection.mdreferences/agent-selection-guide-part4-patterns-practices.mdreferences/agent-selection-guide-part5-advanced.mdreferences/agent-selection-guide.mdreferences/archive-structure.mdreferences/changelog-writing-guidelines.mdreferences/decomposition-example.mdreferences/delegation-checklist.mdreferences/language-verification-checklists-part1-core-languages.mdreferences/language-verification-checklists-part2-extended-platforms.mdreferences/language-verification-checklists-part3-swift-and-universal.mdreferences/language-verification-checklists.mdreferences/log-formats.mdreferences/non-blocking-patterns.mdreferences/op-classify-task-complexity.mdreferences/op-define-scope-boundaries.mdreferences/op-identify-task-dependencies.mdOrchestrates sub-agents to plan, decompose, and dispatch tasks for implementation without writing code. Activates for mission execution or ad-hoc decomposition on delegation requests.
Orchestrates multi-agent parallel execution for complex tasks like features, refactoring, testing, reviews, and documentation using cc-mirror tracking and TodoWrite visibility.
Orchestrates multi-agent coding tasks via Claude DevFleet: plans projects into mission DAGs, dispatches parallel agents to isolated git worktrees, monitors progress, and retrieves structured reports.
Share bugs, ideas, or general feedback.
Decomposes goals into parallel tasks, assigns agents, monitors progress, and verifies results. For guardrails and rules, see skill amoa-orchestration-guardrails.
Task assignments, progress updates, and verified integration results.
Copy this checklist and track your progress:
Input: "Implement OAuth2 login" Output: 5 parallel agents: db-schema, oauth-config, login-flow, token-refresh, auth-tests. Monitor 10 min, 4 loops before PR.
Blocked tasks escalate per progress-monitoring.md. Failed agents respawn once, then escalate.
AI Maestro running, GitHub CLI (gh) authenticated.