agent-coordinator-protocol

Orchestrate multi-agent communication with message queues and saga workflows in Next.js and Supabase.

Updated Apr 7, 2026
One-click install
npx skills add https://github.com/dudedesi12/Skills --skill agent-coordinator-protocol
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-coordinator-protocol
Source: https://github.com/dudedesi12/Skills/tree/main/skills/agent-coordinator-protocol
Command: npx skills add https://github.com/dudedesi12/Skills --skill agent-coordinator-protocol

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @supabase/supabase-js, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Facilitates dependable multi-agent communication, coordination, and fault tolerance within a Next.js and Supabase environment, ensuring message delivery and agent health monitoring.

Core Features & Use Cases

  • Message Protocol Definition: Establishes a typed message format with correlation IDs, TTL, retries, and idempotency keys for consistent communication.
  • Agent Lifecycle Management: Handles registration, heartbeat monitoring, deregistration, and capability discovery to maintain a dynamic agent registry.
  • Communication Patterns: Implements request-response, fire-and-forget queues, pub-sub, and saga workflows to support various inter-agent interaction models.
  • Error Handling & Reliability: Utilizes circuit breakers, fallback strategies, dead letter queues, and validation to guarantee robustness and safety across the system.
  • Workflow Orchestration: Coordinates complex long-running processes with rollback mechanisms and persistent state management.
  • Observability: Provides structured logging, trace context propagation, and metrics collection for effective monitoring and debugging.

Quick Start

Use this protocol to set up an agent registration system, define message formats, and establish error handling policies for multi-agent applications.

Frequently Asked Questions about agent-coordinator-protocol

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

FAQPage Schema
How do I coordinate multi-agent communication reliably in a Next.js application?

Multi-agent communication in Next.js is coordinated using structured message passing with typed formats, correlation IDs, and Supabase queues. This protocol ensures message delivery through retries, idempotency keys, and circuit breakers for resilient agent interactions.

What is the best way to monitor agent health and manage lifecycle in Supabase?

Agent health monitoring and lifecycle management use a dynamic registry with heartbeat tracking and capability discovery. Agents register, maintain active status via heartbeats, and deregister cleanly, all backed by Supabase for persistent state.

Can I implement saga workflows with rollback for long-running processes in Supabase?

Yes, saga workflows with rollback are supported for long-running processes. The protocol coordinates complex sequences using persistent state management in Supabase, ensuring failures trigger rollback mechanisms to maintain system consistency.

How do you handle dead letter queues and fault tolerance for messaging workflows?

Fault tolerance for messaging workflows is handled using dead letter queues, circuit breakers, and fallback strategies. Invalid or failed messages are routed to dead letter queues, preventing system blockages while maintaining robustness.

Does this multi-agent coordination protocol support pub-sub and request-response patterns?

The protocol supports multiple communication patterns including request-response, fire-and-forget queues, and pub-sub. These models allow flexible inter-agent interactions, from direct queries to broadcast events within the Supabase environment.

What do I need to set up multi-agent message queues and observability in Next.js?

Setting up multi-agent message queues requires the Supabase JavaScript client and Next.js. The protocol provides structured logging, trace context propagation, and metrics collection natively to ensure comprehensive observability.