WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution
[Sztuczna inteligencja] Autorzy: Liyan Tang, Cyrus Rashtchian, Chun-Sung Ferng i 3 więcej
Agent skills package specialized knowledge and workflows into reusable resources that extend AI agent capabilities. Recent work automatically discovers such skills from agent experience, which enables agents to progressively adapt through interaction. However, the insights that guide skill development typically remain scattered across optimization histories, limiting their systematic reuse across iterations. We introduce WikiSkill, a framework that co-evolves agent skills with a persistent knowledge base (wiki). At a high level, WikiSkill separates raw execution experience, accumulated knowledge, and executable skills, while continuously consolidating experience into the wiki, which subsequent skill updates can build on. Across diverse benchmarks and models, WikiSkill consistently outperforms state-of-the-art skill-evolution methods and improves over no-skill baselines in most model-ben…
- Kategoria arxiv
- cs.AI
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- Sztuczna inteligencja