Leaderboard/Token Optimization/model-hierarchy-skill
Last commit on February 12, 2026·Created on February 11, 2026

zscole/model-hierarchy-skill

Optimizes AI agent operations by routing tasks to the most cost-effective model tier.
Combined rank
#577
across all skills
In Token Optimization
#4
category rank
Stars
345
7d change unavailable
Forks
21
Watchers
3
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TL;DR

This skill provides a framework for managing AI agent costs by matching task complexity to model capability. It distinguishes between routine janitorial work—such as file reads and status checks—and problems requiring deep reasoning, ensuring premium models are reserved for high-complexity tasks.

Developers can use this guidance to determine when to spawn sub-agents or switch models based on specific requirements, including distinctions between text-only and vision-capable models.

WHO IT'S FOR
AI agent / automation builders
routing tasks to cost-optimized model tiers
Platform / DevEx teams
reducing LLM operational expenditures for agents
Technical leads / architects
designing multi-model agent orchestration strategies
AI agent power users
spawning sub-agents for specific task complexities
Repository contents

1 skill file

Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
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