model-hierarchy

Route tasks to the cheapest capable model based on complexity.

Updated Mar 17, 2026
One-click install
npx skills add https://github.com/Avi977/ace-claude-toolkit --skill model-hierarchy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: model-hierarchy
Source: https://github.com/Avi977/ace-claude-toolkit/tree/main/skills/model-hierarchy
Command: npx skills add https://github.com/Avi977/ace-claude-toolkit --skill model-hierarchy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Route tasks to the cheapest model that can handle them. This approach reduces operational costs while maintaining performance across AI agent workflows.

Core Features & Use Cases

  • Tiered-model routing: Select appropriate model tier based on task complexity and cost considerations.
  • Sub-agent orchestration: Spawn lightweight sub-agents for routine work to minimize spend.
  • Use Case: When processing large batches of tasks with similar requirements, direct routine tasks to Tier 1 models and escalate complex tasks to Tier 3.

Quick Start

Route the next task to the cheapest capable model based on its complexity and required performance.

Frequently Asked Questions about model-hierarchy

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

FAQPage Schema
What is multi-model task routing and how does it reduce AI agent costs?

Sub-agent orchestration spawns lightweight sub-agents for routine work to minimize spend. By offloading simple tasks to cheaper models, it reduces operational costs while maintaining performance across workflows.

How do I route a batch of tasks to different model tiers based on complexity?

To route a batch of tasks, direct routine tasks to Tier 1 models and escalate complex tasks to Tier 3. This tiered-model routing approach selects the appropriate model tier based on task complexity and cost considerations.

Can I use tiered-model routing for sub-agent spawning in agent workflows?

Yes, tiered-model routing supports sub-agent orchestration by spawning lightweight sub-agents for routine work. This minimizes spend while maintaining performance across AI agent workflows.

What is the best way to handle safe failure when routing tasks between models?

Safe failure handling in task routing is built into model tiering decisions. It ensures routing failures are managed safely while balancing performance and expense during AI agent operations.

Does model routing require classifying tasks before selecting a model tier?

Yes, task classification is required to satisfy model tiering requirements. The routing process classifies task complexity to select the cheapest capable model and balance performance with expense.