WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution

TL;DR - WikiSkill is a framework that consolidates agents’ execution experience into a persistent wiki used to evolve reusable skills. It improves agent performance and enables skills to transfer across models and model families.

• Separates raw execution histories, accumulated knowledge, and executable skills while continuously updating the shared wiki.
• Consistently outperforms prior skill-evolution methods across diverse benchmarks and models, and beats no-skill baselines in most tested settings.
• Evolved skills complement model scaling: larger models generally gain more, while smaller skill-equipped models can outperform substantially larger models without skills.
• Ablations identify persistent knowledge accumulation as critical; skills can also transfer effectively and sometimes outperform skills evolved by the target model itself.