EffiSkill: Agent Skill Based Automated Code Efficiency Optimization
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. The key idea is to model recurring slow-to-fast transformations as reusable agent skills that capture both concrete transformation mechanisms and higher-level optimization str...
| Authors | Zimu Wang, Yuling Shi, Mengfan Li et al. |
|---|---|
| Primary category | cs.SE |
| Published | 29 March 2026 |
| Last updated at source | 29 March 2026 |
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