VCE-Skill: Enhancing Skill Self-Evolution with Version-Change Experience
Agents increasingly rely on reusable skills to encode task knowledge, tool-use procedures, and validation rules. Existing skill self-evolution methods primarily revise skills using execution trajectories collected from current tasks, leaving the evolution knowledge accumulated in public skill version histories largely untapped. Our pilot study reveals a clear complementarity between the two sources: public skill changes provide reusable evolution priors, whereas trajectories provide evidence grounded in the current task. Motivated by this, we propose VCE-Skill, which distills noisy and implementation-specific public skill changes into reusable, structured version-change experience and ada...
| Authors | Jianming Chen, Xuanbin Ye, Yawen Wang et al. |
|---|---|
| Primary category | cs.MA |
| Published | 17 August 2026 |
| Last updated at source | 17 August 2026 |
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