amoa-messaging-templates

Provides reusable JSON message templates and protocols for AI Maestro orchestrator workflows.

13|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/Emasoft/ai-maestro-orchestrator-agent --skill amoa-messaging-templates
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: amoa-messaging-templates
Source: https://github.com/Emasoft/ai-maestro-orchestrator-agent/tree/main/skills/amoa-messaging-templates
Command: npx skills add https://github.com/Emasoft/ai-maestro-orchestrator-agent --skill amoa-messaging-templates

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provide reusable JSON message templates and protocols that make inter-agent communication predictable, auditable, and reliable for AI Maestro orchestrations. Remove ambiguity in task assignments, status requests/responses, escalation, and completion reports so orchestration workflows do not fail due to inconsistent message formats or missing fields.

Core Features & Use Cases

  • Standardized Templates: Complete JSON schemas for assignment, acknowledgment, status requests, completion, escalation, and integration messages.
  • Operational Protocols: Escalation order, retry rules, ACK requirements, and priority conventions to ensure reliable delivery and handling.
  • Decision Support: Decision trees and processing instructions for common flows (task assignment, reporting, escalation, resource and skill requests).
  • Use Cases: Delegating tasks to sub-agents, requesting integration reviews, escalating blockers to managers, and sending periodic status reports.

Quick Start

Send a task assignment via the agent-messaging skill to implementer-1 with subject Task Assignment: Implement auth module and include task_uuid, deadline, and acceptance_criteria.

Frequently Asked Questions about amoa-messaging-templates

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

FAQPage Schema
How do I standardize inter-agent communication for AI orchestration workflows?

Inter-agent messaging protocols enforce acknowledgment, retry, and escalation rules for reliable delivery. These standardized JSON schemas ensure messages are predictable and auditable, preventing orchestration failures from missing fields or inconsistent formats.

How do I format task assignment messages for sub-agents in an orchestration workflow?

Task assignment messages are formatted as standardized JSON objects containing task_uuid, deadline, and acceptance_criteria fields. This ensures sub-agents receive unambiguous delegation instructions with priority and subject metadata.

What JSON structure is needed for agent escalation and status polling protocols?

Agent escalation and status polling require JSON structures with from, to, subject, priority, and content.type fields. These templates enforce ACK requirements, escalation order, and retry rules to handle blockers and report completion reliably.

When do I need standardized messaging templates for multi-agent task delegation?

Standardized messaging templates are needed when orchestration workflows fail due to inconsistent message formats or missing fields during multi-agent task delegation. They provide decision trees and processing instructions for reliable, auditable communication.

Can I use these JSON message templates for integration requests and periodic status reports?

Yes, these JSON message templates support integration review requests and periodic status reporting. They include operational protocols with priority conventions and acknowledgment rules to ensure reliable delivery and handling across orchestration flows.

What are the limitations of using fixed JSON schemas for inter-agent orchestration messaging?

Fixed JSON schemas for inter-agent messaging require strict adherence to fields like from, to, subject, and content.type. Orchestration workflows may fail if agents do not enforce ACK, retry, and escalation rules when processing these standardized templates.