heady-agent-orchestration

Coordinate eight specialized agents using CSL logic and LangGraph workflows.

1|Updated Mar 24, 2026
One-click install
npx skills add https://github.com/HeadyAI/heady-context --skill heady-agent-orchestration
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: heady-agent-orchestration
Source: https://github.com/HeadyAI/heady-context/tree/main/heady-skills/heady-agent-orchestration
Command: npx skills add https://github.com/HeadyAI/heady-context --skill heady-agent-orchestration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill defines the Sacred Geometry multi-agent orchestration framework — the theoretical backbone and primary differentiator of the Heady system. It organizes agent interactions into a hierarchical topology with cross-links, using CSL Ternary Gate decision logic and swarm intelligence for distributed coordination.

Core Features & Use Cases

  • Sacred Geometry topology with 8 specialized agents coordinating via typed message envelopes.
  • CSL Ternary Gate decision logic for nuanced quorum-based actions.
  • HeadyBee & HeadySwarm distributed coordination for task discovery, routing, and self-healing.
  • LangGraph integration to map topology into stateful workflows.
  • Liquid nodes dynamic compute migration and resilience in runtime.
  • Inter-agent pub/sub messaging across a robust envelope protocol.

Quick Start

Set up a local test workspace and trigger a minimal 8-agent workflow to observe the end-to-end data flow through Alpha, Data, Risk, and Execution.

Frequently Asked Questions about heady-agent-orchestration

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

FAQPage Schema
How do I coordinate multiple specialized agents for scalable distributed workflows?

Multi-agent orchestration coordinates eight specialized agents using a hierarchical topology with cross-links and typed message envelopes to achieve scalable, fault-tolerant distributed workflows. It enforces governance through defined veto rules and robust event envelopes to prevent unsafe behavior.

How does LangGraph integration work with multi-agent topology management?

LangGraph integration maps the multi-agent topology into stateful workflows, allowing the hierarchical structure of specialized agents to execute as managed computational graphs. This enables structured inter-agent communication and dynamic compute migration during runtime.

What is CSL Ternary Gate decision logic in distributed coordination?

CSL Ternary Gate decision logic provides nuanced quorum-based actions for distributed coordination across the agent swarm. It governs inter-agent communication and decision-making processes to ensure fault-tolerant execution within the orchestration framework.

Can I use pub/sub messaging for inter-agent communication across a swarm?

Yes, inter-agent pub/sub messaging operates across a robust envelope protocol to facilitate communication between specialized agents. This enables swarm dynamics for task discovery, routing, and self-healing within the distributed coordination environment.

How do I set up a minimal multi-agent workflow to test inter-agent data flow?

Set up a local test workspace and trigger a minimal 8-agent workflow to observe the end-to-end data flow through specialized agents like Alpha, Data, Risk, and Execution. This demonstrates the topology management and event envelope protocol in practice.

When should I not use a hierarchical topology for multi-agent orchestration?

Hierarchical orchestration with veto rules and topology management may not suit lightweight tasks lacking complex inter-agent communication needs. If your workflow does not require fault-tolerant distributed coordination or quorum-based actions, simpler approaches are more appropriate.