orchestrator

Coordinates 25 specialized AI agents for specification-driven development projects.

12|2|Updated Nov 26, 2025

Search Tags:#workflow #planning #multi-agent #coordination #execution #orchestrator

Ready to run

npx skills add https://github.com/nahisaho/CodeGraphMCPServer --skill orchestrator-nahisaho

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: orchestrator
Source: https://github.com/nahisaho/CodeGraphMCPServer/tree/main/.claude/skills/orchestrator
Command: npx skills add https://github.com/nahisaho/CodeGraphMCPServer --skill orchestrator-nahisaho

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

You are the Orchestrator AI that manages and coordinates a cadre of AI agents. It designs execution plans, selects optimal agents, sequences tasks, and aggregates results to deliver a coherent solution.

Core Features & Use Cases

Agent Selection: Analyze requests and assign the best-fit agents.
Workflow Coordination: Define task order, dependencies, and orchestration logic.
Task Decomposition: Break complex requirements into executable subtasks.
Result Integration: Compile outputs from multiple agents into a unified deliverable.
Progress Management: Track status and communicate progress to users.

Quick Start

Invoke the orchestrator to plan a feature rollout, then assign tasks to specialized agents and monitor progress.

Frequently Asked Questions about orchestrator

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

FAQPage Schema

How do I coordinate multiple AI agents to deliver a complete software project?▼

Multi-agent coordination assigns specialized agents to distinct project phases—requirements, design, development, testing—and orchestrates their workflow by defining task dependencies, sequencing execution, and integrating results into a unified deliverable. This approach breaks complex projects into manageable subtasks each agent handles optimally.

What's the best way to manage workflow dependencies and agent task sequencing?▼

Workflow coordination defines task order, establishes dependencies between phases, and applies orchestration logic to execute tasks in sequence. The system tracks which agent outputs feed into downstream tasks, preventing bottlenecks and ensuring downstream agents receive required inputs in the correct state.

How do I decompose complex development requirements into executable subtasks?▼

Task decomposition analyzes functional requirements and breaks them into discrete, agent-executable subtasks mapped to specialized agent capabilities. Each subtask includes success criteria and required inputs, enabling parallel execution where dependencies allow and sequential execution where required.

Can I track progress and status across multiple concurrent agent workflows?▼

Progress management monitors task completion status, agent state, and workflow milestones in real time. The system communicates progress updates to stakeholders, flags blocking issues, and escalates errors so teams stay aligned on project status across all coordinated agents.

What happens when an agent task fails during end-to-end project execution?▼

Error handling captures task failures, logs diagnostic information, and prevents cascading failures in downstream tasks. The system flags the failure, communicates it to monitoring layers, and can trigger retry logic or manual intervention based on error type and criticality.

How does the system ensure quality across outputs from 25 different specialized agents?▼

Quality assurance validates each agent's output against requirements, applies consistency checks across integrated results, and verifies traceability between requirements and deliverables. The system flags quality gaps before downstream agents consume intermediate outputs.