I've been looking at token efficiency from a slightly different angle lately.
When an agent uses too many tokens, we usually look at the obvious things first: the model, the prompt, the context window, or how many steps the workflow takes.
But there's another variable that's easy to overlook:
Deep Skill Finder helps you find the right AI agent skills for your task.
Instead of relying on popularity or keywords, it recommends skills based on real-world tests, capabilities, requirements, safety, and user feedback.
Describe what you want to accomplish. Deep Skill Finder finds relevant skills, matches them to your task, and provides evidence to help you choose.
Task → Match → Evidence → Use
Find skills based on what they can actually do—not just popularity.
