hermes-agent-orchestration

Orchestrate AI agents in sequential and parallel workflows.

Updated Mar 29, 2026
One-click install
npx skills add https://github.com/shuff57/agent-evo --skill hermes-agent-orchestration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hermes-agent-orchestration
Source: https://github.com/shuff57/agent-evo/tree/main/skills/.archive/topics-2026-05-10/autonomous-ai-agents/hermes-chain
Command: npx skills add https://github.com/shuff57/agent-evo --skill hermes-agent-orchestration

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the orchestration of multiple AI agents for efficient, coordinated workflows, ensuring seamless handoffs and maximizing productivity.

Core Features & Use Cases

  • Sequential Chains: Execute agents in a predefined sequence, ideal for tasks with a natural flow of handoffs.
  • Parallel Teams: Utilize multiple agents concurrently for parallel processing, beneficial for simultaneous perspectives or rapid coverage.
  • Coordinated Teams: Facilitate teamwork among agents with shared task lists and communication, enhancing collaboration.
  • Custom Chains: Build custom agent sequences for tailored workflows.
  • Use Case: Imagine you need to refactor a large codebase. Use this Skill to run a sequence of agents starting with a scout to map the terrain, followed by a planner, code-engineer, and critic to implement and verify changes.

Quick Start

@chain:plan-build add rate limiting to the API endpoints

Frequently Asked Questions about hermes-agent-orchestration

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

FAQPage Schema
How do I coordinate multiple AI agents for parallel processing and sequential execution?

You coordinate multiple AI agents by defining structured workflows that support both parallel processing for concurrent tasks and sequential execution for ordered handoffs. This ensures controlled execution and maximizes productivity in complex team environments.

What is AI agent orchestration and when do I need it for a structured workflow?

AI agent orchestration is the coordination of multiple agents for complex tasks requiring handoffs or parallel processing. You need it when a structured workflow demands controlled execution and seamless teamwork among agents to maximize productivity.

How do I refactor a large codebase using a coordinated team of AI agents?

You refactor a large codebase by chaining agents sequentially, such as running a scout to map the terrain, followed by a planner, code-engineer, and critic to implement and verify changes. This structured workflow ensures precise, controlled execution.

Can I build custom agent sequences for tailored workflows with specific handoffs?

Yes, you can build custom agent sequences to create tailored workflows. This allows you to facilitate teamwork among agents with shared task lists and communication, enhancing collaboration for specific sequential or parallel processing needs.

Does this approach support running agents concurrently for simultaneous perspectives?

Yes, the orchestration supports parallel teams that utilize multiple agents concurrently. This is beneficial for gaining simultaneous perspectives or achieving rapid coverage during complex parallel processing tasks.

What is the best way to manage handoffs between agents in a sequential chain?

The best way to manage handoffs is by executing agents in a predefined sequence within a structured workflow. This approach is ideal for tasks with a natural flow of handoffs, ensuring seamless transitions and controlled execution.