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italokandrade
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ai-dev-agentic-orchestration

Automate multi-agent system orchestration with planning, execution, and verification workflows.

1|Updated Apr 9, 2026
Search Tags:#multi-agent#orchestration#autonomous development#telemetry#retries#queue management
One-click install
npx skills add https://github.com/italokandrade/ai-dev --skill ai-dev-agentic-orchestration
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-dev-agentic-orchestration
Source: https://github.com/italokandrade/ai-dev/tree/main/hermes-knowledge/skills/agentic-ai/ai-dev-agentic-orchestration
Command: npx skills add https://github.com/italokandrade/ai-dev --skill ai-dev-agentic-orchestration

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the complexity of designing, managing, and refactoring multi-agent orchestration systems within AI-Dev environments, simplifying coordination and control.

Core Features & Use Cases

  • Workflow Management: Facilitates planning, execution, and verification of multi-agent systems.
  • Automation of Agent Interactions: Supports queue jobs, retries, quality gates, and telemetry integration.
  • Use Case: Automate the orchestration of AI agents in a development pipeline to enhance reliability and reduce manual oversight.

Quick Start

Use the ai-dev-agentic-orchestration skill to configure agent-based workflows for project deployment.

Frequently Asked Questions about ai-dev-agentic-orchestration

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

FAQPage Schema
How do I manage multi-agent workflows for autonomous AI development?▼

Multi-agent workflows for autonomous AI development are managed through automated orchestration pipelines that handle planning, execution, and verification. This system coordinates agent interactions to reduce manual oversight and enhance reliability.

How do I implement retries and quality gates in an AI orchestration pipeline?▼

Retries and quality gates in an AI orchestration pipeline are automated through robust workflow management. This ensures reliable execution by handling queue jobs and verifying agent outputs before proceeding.

Does this multi-agent orchestration framework support Laravel queue jobs?▼

Yes, the multi-agent orchestration framework supports Laravel queue jobs. It ensures compatibility with Laravel queues to enable secure, scalable workflows within your existing development environment.

What is the best way to integrate telemetry into autonomous AI agent systems?▼

Telemetry is integrated into autonomous AI agent systems via the orchestration pipeline's built-in telemetry management. This allows you to monitor automated agent interactions and maintain scalable, observable workflows.

Can I use MCP and Hermes integrations for secure multi-agent workflows?▼

Yes, MCP and Hermes integrations are supported to ensure secure multi-agent workflows. The system applies these integrations within the orchestration pipeline to maintain secure and scalable AI development environments.

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