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agent-orchestrator-manager

Delegate tasks to subagents via /spawn and track progress in UUID-based directories.

31|6|Updated Dec 13, 2025
Search Tags:#workflow#reports#delegation#multi-agent#parallelization#spawn#orchestrate
One-click install
npx skills add https://github.com/WaterplanAI/agentic-config --skill agent-orchestrator-manager-waterplanai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-orchestrator-manager
Source: https://github.com/WaterplanAI/agentic-config/tree/main/core/skills/agent-orchestrator-manager
Command: npx skills add https://github.com/WaterplanAI/agentic-config --skill agent-orchestrator-manager-waterplanai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill centralizes complex task coordination by delegating all workload to spawned subagents via the /spawn command, eliminating direct task execution and enabling scalable, parallelized workflows.

Core Features & Use Cases

  • Delegation-first orchestration: All tasks are assigned to subagents, never executed directly by the orchestrator.
  • Parallel execution & supervision: Independent work streams run in parallel while the orchestrator monitors progress and coordinates results.
  • UUID-based session tracking & reporting: Outputs are organized in UUID-based directories with per-agent summaries and a master orchestrator report for traceability.
  • Use Case: Orchestrate a multi-step data processing pipeline where extraction, transformation, and validation are handled by separate agents with centralized progress updates.

Quick Start

Start by initializing an orchestrator workflow in your project context and delegating the first task using /spawn. Example: /spawn orchestrator_init

Frequently Asked Questions about agent-orchestrator-manager

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

FAQPage Schema
How do I delegate tasks to multiple agents in parallel?▼

Delegate tasks to subagents using the /spawn command, which distributes workload across independent agents running in parallel. The orchestrator supervises execution and coordinates results while each agent handles its assigned task independently.

What is multi-agent orchestration and when do I need it?▼

Multi-agent orchestration coordinates complex workflows across separate agents handling distinct tasks simultaneously. Use it for projects requiring parallel execution, centralized progress tracking, and scalable task distribution across independent work streams.

How do I track progress and reports across spawned subagents?▼

Outputs organize in UUID-based session directories with per-agent summaries and a master orchestrator report. This structure provides full traceability of each agent's work and centralized progress visibility throughout the workflow.

Can I use this for data processing pipelines with multiple stages?▼

Yes. Orchestrate multi-step data pipelines by delegating extraction, transformation, and validation to separate agents. Each stage runs independently in parallel while the orchestrator monitors and coordinates results across all pipeline steps.

Do I need to execute tasks directly or only delegate to subagents?▼

This Skill enforces delegation-first orchestration—all tasks must be assigned to subagents via /spawn commands. Direct task execution by the orchestrator is not permitted; the orchestrator's role is coordination and supervision only.

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