AI RESEARCH
EffiSkill: Agent Skill Based Automated Code Efficiency Optimization
arXiv CS.CL
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ArXi:2603.27850v1 Announce Type: cross Code efficiency is a fundamental aspect of software quality, yet how to harness large language models (LLMs) to optimize programs remains challenging. Prior approaches have sought for one-shot rewriting, retrieved exemplars, or prompt-based search, but they do not explicitly distill reusable optimization knowledge, which limits generalization beyond individual instances. In this paper, we present EffiSkill, a framework for code-efficiency optimization that builds a portable optimization toolbox for LLM-based agents.