token-efficient-delegation

What problem does it solve?

This Skill addresses the high cost and latency associated with using powerful LLMs like Claude by providing a strategic framework for delegating tasks to more cost-effective and faster models when appropriate.

Core Features & Use Cases

• Model Selection Guidance: Offers a decision tree and detailed model characteristics to guide task delegation.
• Cost & Speed Optimization Patterns: Implements strategies like parallel execution, background processing, and cascade routing to minimize token usage and execution time.
• Use Case: When needing to research a broad topic, instead of using an expensive Claude model, delegate the research to a cheaper MiniMax or GLM agent, then have Claude synthesize the findings, saving significant costs and time.

Quick Start

Delegate web research to a MiniMax agent for faster and cheaper results.