cost-aware-model-routing
CommunityOptimize LLM costs by routing tasks.
Authorryasrk
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the significant cost implications of using large language models by providing a framework to assign the most cost-effective model tier (Opus vs. Sonnet) based on task complexity and reasoning requirements.
Core Features & Use Cases
- Model Tier Assignment: Clearly defines which tasks and agents are suitable for the more expensive Opus model versus the cheaper Sonnet model.
- Cost Reduction Strategy: Offers a practical approach to reduce LLM operational expenses by optimizing model usage.
- Re-Routing Guidelines: Provides clear rules for when to switch agents between model tiers to maintain quality and control costs.
- Use Case: An AI development team can use this skill to ensure their 'planner' agent, which requires complex reasoning, uses Opus, while their 'code-reviewer' agent, which follows checklists, uses Sonnet, leading to substantial cost savings over time.
Quick Start
Use the cost-aware-model-routing skill to determine the optimal model tier for the 'code-reviewer' agent.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: cost-aware-model-routing Download link: https://github.com/ryasrk/AgentBrokeTheMatrix-CopilotVersion/archive/main.zip#cost-aware-model-routing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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