model-routing-strategy

What problem does it solve?

This Skill addresses the challenge of selecting the most appropriate Large Language Model (LLM) for a given task, optimizing for factors like cost, quality, and latency.

Core Features & Use Cases

• Dynamic Model Selection: Automatically choose between different LLMs based on task complexity, cost constraints, or latency requirements.
• Cost Optimization: Implement strategies to use cheaper models for simpler tasks while reserving powerful, expensive models for complex reasoning.
• Latency Management: Select models that meet real-time performance needs for interactive applications.
• Use Case: When building a customer support chatbot, use this skill to route simple queries to a fast, low-cost model like Claude Haiku, while complex troubleshooting requests are directed to a more capable model like Claude Opus.

Quick Start

Use the model-routing-strategy skill to select the best model for a complex reasoning task.