multi-agent

Coordinate multi-agent workflows with Scout, Worker, and Soldier roles.

5|1|Updated Apr 8, 2026

Search Tags:#workflow #orchestration #worker #team #mult-agent #scout #soldier

Ready to run

npx skills add https://github.com/Catsofsuffering/CCGS --skill multi-agent-catsofsuffering

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: multi-agent
Source: https://github.com/Catsofsuffering/CCGS/tree/main/templates/skills/orchestration/multi-agent
Command: npx skills add https://github.com/Catsofsuffering/CCGS --skill multi-agent-catsofsuffering

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Multi-Agent Orchestration addresses the complexity of coordinating multiple autonomous agents to tackle large software tasks by structuring roles, lifecycles, and communication patterns.

Core Features & Use Cases

Lifecycle-driven coordination: Scout discovery, Worker execution, Soldier review, and Lead aggregation to conclude tasks.
Role-based delegation: Clear responsibilities and handoffs between agents with dependency awareness and conflict handling.
Adaptive concurrency: Dynamic scaling of agents based on workload, with pheromone-like signals guiding prioritization.
Team-centric collaboration: Supports architect, developer, QA, and reviewer-like roles for end-to-end workflows.

Quick Start

Initialize a multi-agent orchestration task and spawn Scout, Worker, and Soldier agents to start parallel execution.

Frequently Asked Questions about multi-agent

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

FAQPage Schema

How do I coordinate multi-agent workflows for parallel software development?▼

Multi-agent workflows coordinate parallel software development by routing tasks through specialized roles like Scouts for discovery, Workers for execution, and Soldiers for review. This lifecycle-driven coordination manages role-based delegation, dependency awareness, and conflict handling across teams.

What is dynamic task decomposition in multi-agent orchestration?▼

Dynamic task decomposition in multi-agent orchestration breaks complex software tasks into smaller parallel units allocated to autonomous agents. It uses pheromone-like metadata signals to guide prioritization and applies adaptive concurrency controls to dynamically scale agents based on current workload.

Can I use multi-agent orchestration for architect, developer, and QA team roles?▼

Yes, multi-agent orchestration supports team-centric collaboration by mapping agents to architect, developer, QA, and reviewer roles. This enables end-to-end workflows with clear responsibilities and structured handoffs between agents to conclude tasks efficiently.

How do I start a multi-agent orchestration task with parallel execution?▼

To start a multi-agent orchestration task, initialize the task environment and spawn Scout, Worker, and Soldier agents. This triggers parallel execution where Scouts handle discovery, Workers execute coding, and Soldiers conduct reviews before a Lead aggregates the final results.

How does multi-agent orchestration handle conflict resolution during task delegation?▼

Multi-agent orchestration handles conflict resolution during task delegation through pheromone-like metadata signals that guide prioritization and adaptive concurrency controls. These mechanisms ensure clear responsibilities and manage dependency awareness to resolve conflicts across parallel agents.