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Representation Affects Retrieval: A Case Study of Skill Discovery and Routing in a Multimodal Agent Harness

Source
arxiv.org
Author
Kevin Dela Rosa
Date
Why it matters

How a is represented in the , not just which skills exist, decides what the planner picks — and in- selection is the small-N counterpart to embedding-based retrieval at scale.

Terms in this piece · Glossary
  • agent harness — The scaffolding around a model that turns it into a working agent — the loop, the tools it can call, and the rules for when to stop.
  • agent skill — A reusable instruction file that teaches an agent how to do one job well — the procedure, the tools, and what counts as done.
  • system prompt — The standing instructions a model receives before any user input — defining its role, rules, tools, and tone for the whole conversation.
  • context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
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