multi-ai

Coordinate multi-AI tasks across Claude Code, Codex CLI, and Gemini CLI.

Updated Apr 6, 2026
One-click install
npx skills add https://github.com/fantay0312/fantayspec --skill multi-ai-fantay0312
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multi-ai
Source: https://github.com/fantay0312/fantayspec/tree/main/shared/skills/skills-all/multi-ai
Command: npx skills add https://github.com/fantay0312/fantayspec --skill multi-ai-fantay0312

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Multi-AI orchestration across Claude Code, Codex CLI, and Gemini CLI to coordinate tasks, share context, and synchronize results in a single workflow.

Core Features & Use Cases

  • Task delegation across engines to balance workloads and optimize outcomes.
  • Context handoff with shared session state for cross-model collaboration.
  • Phase coordination across /research, /ideate, /plan, /impl, /verify to support end-to-end workflows.

Quick Start

Configure the orchestrator.yaml to enable multi-model coordination and run the shared skill integration in your orchestration pipeline.

Frequently Asked Questions about multi-ai

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

FAQPage Schema
How do I coordinate tasks across Claude Code, Codex CLI, and Gemini CLI?▼

Multi-AI orchestration coordinates tasks across Claude Code, Codex CLI, and Gemini CLI to balance workloads, delegate tasks, and synchronize results within a single workflow.

What is cross-model context handoff and how does it work for AI sessions?▼

Cross-model context handoff works by applying shared session state to persist data and track sessions across different engines, ensuring reproducible orchestration throughout the workflow.

How do I integrate multi-AI orchestration into research and implementation phases?▼

You integrate multi-AI orchestration by applying it across /research, /ideate, /plan, /impl, and /verify phases to support end-to-end workflows with continuous engine selection and coordination.

Can I use a single orchestrator to balance workloads across multiple AI engines?▼

Yes, you can balance workloads by configuring the orchestrator.yaml to enable multi-model coordination, which delegates tasks across engines to optimize outcomes and synchronize results.

How does session persistence work when switching between Claude, Codex, and Gemini?▼

Session persistence works by tracking cross-engine collaboration and handing off context, ensuring that shared session state remains synchronized and reproducible when switching between models.