ai-orchestrator

Orchestrate multi-agent task distribution across Antigravity IDE, Codex CLI, and Claude Code.

Updated May 24, 2026
One-click install
npx skills add https://github.com/xXCyb3rM1tchXx/ai-orchestrator-skill --skill ai-orchestrator-xxcyb3rm1tchxx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-orchestrator
Source: https://github.com/xXCyb3rM1tchXx/ai-orchestrator-skill/tree/main/ai-orchestrator
Command: npx skills add https://github.com/xXCyb3rM1tchXx/ai-orchestrator-skill --skill ai-orchestrator-xxcyb3rm1tchxx

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the inefficiency of manual task distribution and budget mismanagement in multi-agent AI projects by providing a structured, automated framework for model selection and agent coordination.

Core Features & Use Cases

  • Intelligent Routing: Automatically distributes tasks across Antigravity native models, Codex CLI, and Claude Code based on complexity and cost.
  • Budget Optimization: Manages token rotation to prioritize cost-effective native models before escalating to paid subscriptions.
  • Use Case: When starting a new landing page project, the Skill triggers the grill-me protocol to define requirements, then orchestrates Gemini for research, Claude for architecture, and GPT for code generation, ensuring high-quality output within a $300 monthly budget.

Quick Start

Invoke the ai-orchestrator skill by describing your new project requirements to initiate the mandatory grill-me protocol and receive a structured execution plan.

Frequently Asked Questions about ai-orchestrator

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

FAQPage Schema
How do I automate multi-agent task routing across Antigravity IDE, Codex CLI, and Claude Code?

Multi-agent task routing is automated by distributing tasks based on complexity and cost. This skill coordinates Antigravity native models, Codex CLI, and Claude Code to maximize output quality while maintaining strict budget constraints.

What is the best way to manage token budgets when orchestrating AI agents for project lifecycles?

Token budget management is handled by prioritizing cost-effective native models before escalating to paid subscriptions. This approach optimizes token rotation to maximize output quality while maintaining strict budget constraints for complex project lifecycles.

How do I start a new landing page project with automated model selection and requirement gathering?

Start a landing page project by describing your new project requirements to initiate the mandatory grill-me protocol. The orchestrator then routes Gemini for research, Claude for architecture, and GPT for code generation within a defined budget.

Does multi-agent orchestration require human-in-the-loop verification for client-facing deliverables?

Human-in-the-loop verification is mandatory for client-facing deliverables. The multi-agent orchestration framework satisfies requirements for structured requirement gathering, model-specific routing, and mandatory human verification before finalizing outputs.

Can I use automated workflow routing for cybersecurity analysis and CRM funnels?

Automated workflow routing applies to complex project lifecycles including CRM funnels and cybersecurity analysis. It coordinates multiple agents to handle diverse tasks while maintaining strict budget constraints across the Antigravity IDE.