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multi-ai-run

Route tasks to Claude, Gemini, and Codex via routing.config.yaml.

17|3|Updated Jan 23, 2026
Search Tags:#planning#routing#orchestration#task-execution#code-design#ai-model-routing
One-click install
npx skills add https://github.com/insightflo/claude-impl-tools --skill multi-ai-run
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: multi-ai-run
Source: https://github.com/insightflo/claude-impl-tools/tree/main/plugin/skills/multi-ai-run
Command: npx skills add https://github.com/insightflo/claude-impl-tools --skill multi-ai-run

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Routing tasks to the best AI model and orchestrating execution across Claude, Gemini, and Codex to maximize quality and speed.

Core Features & Use Cases

  • Model routing automatically assigns tasks to Claude, Gemini, or Codex based on role and task type.
  • End-to-end orchestration coordinates planning, design, and development tasks with specialized models.
  • Project-level configurability via routing.config.yaml and per-project model routing settings to override defaults.

Quick Start

Run /multi-ai-run to auto-route tasks and execute them with the appropriate models.

Frequently Asked Questions about multi-ai-run

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

FAQPage Schema
How do I route coding tasks to different AI models like Claude and Gemini?▼

Model routing assigns coding tasks to Claude, Gemini, or Codex automatically based on agent roles and task types. You can execute this orchestration by running the multi-ai-run command to auto-route and process tasks with the appropriate models.

What is AI model orchestration for task execution?▼

AI model orchestration coordinates planning, design, and development workflows by routing specialized tasks to different AI models. This maximizes quality and speed by enabling per-task model selection and cross-model collaboration across your projects.

Can I configure project-level model routing settings for different codebases?▼

Yes, you can configure project-level model routing settings using a per-project model routing file. This allows you to override default CLI model settings defined in the global routing configuration file for specific codebases.

Does multi-ai-run support parallel execution and fallback behaviors for AI tasks?▼

Yes, the task execution orchestration supports parallel execution and fallback behaviors. It also includes a dry-run mode to preview the routing of tasks to models before committing to actual execution.

What is the best way to coordinate planning and coding workflows across multiple AI models?▼

The best way to coordinate cross-model workflows is using end-to-end orchestration that assigns planning and coding tasks to specialized models. This approach leverages per-task model selection to optimize execution quality and speed.

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