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maestro

Orchestrate multi-agent software development with task dependency graphs and agent assignment.

Updated Feb 7, 2026
Search Tags:#task management#software development#multi-agent#orchestration#project coordination#agent assignment
One-click install
npx skills add https://github.com/mohitmishra786/aurora-dev --skill maestro-mohitmishra786
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: maestro
Source: https://github.com/mohitmishra786/aurora-dev/tree/main/.agents/skills/maestro
Command: npx skills add https://github.com/mohitmishra786/aurora-dev --skill maestro-mohitmishra786

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill acts as the central coordinator for autonomous multi-agent software development, managing complex projects from initial requirements through to deployment by orchestrating specialized agents.

Core Features & Use Cases

  • Task Decomposition: Breaks down user requirements into manageable, atomic tasks and creates dependency graphs.
  • Agent Assignment: Intelligently assigns tasks to the most suitable specialist agents based on expertise, workload, and historical performance.
  • Progress Monitoring: Tracks agent progress in real-time, detects stalled tasks, and manages reassignments.
  • Merge Coordination: Resolves conflicts and manages code integration from parallel agent work.
  • Budget Management: Monitors and allocates API costs across agents, alerting and pausing as needed.
  • Use Case: Kick off the development of a new full-stack e-commerce platform by providing a high-level description and desired tech stack.

Quick Start

Use the maestro skill to build a full-stack e-commerce app with React, Node.js, PostgreSQL, and Stripe.

Frequently Asked Questions about maestro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate multi-agent software development projects?▼

Multi-agent software development projects are orchestrated by decomposing requirements into task dependency graphs, assigning tasks to specialized agents, and monitoring real-time progress with merge coordination.

How does task decomposition work for autonomous multi-agent software projects?▼

Task decomposition for autonomous multi-agent software projects breaks down high-level user requirements into manageable, atomic tasks and creates dependency graphs for specialized agents.

How do you assign tasks to specialized agents in a multi-agent system?▼

Tasks are assigned to specialized agents in a multi-agent system based on expertise, workload, historical performance, and context size.

Can I manage API costs and budgets across multiple autonomous agents?▼

You can manage API costs across multiple autonomous agents through budget management features that monitor and allocate expenses, alerting and pausing as needed.

Does multi-agent task orchestration work with LangGraph and Celery?▼

Multi-agent task orchestration works with LangGraph for state management and Celery for task queuing.

What is the best way to coordinate code merges from parallel autonomous agents?▼

The best way to coordinate code merges from parallel autonomous agents is using a central orchestrator that resolves conflicts and manages code integration.

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