VCE-Skill: Enhancing Skill Self-Evolution with Version-Change Experience

• URL: http://arxiv.org/abs/2608.16544v1
• Date: Mon, 17 Aug 2026 13:16:59 GMT
• Title: VCE-Skill: Enhancing Skill Self-Evolution with Version-Change Experience
• Abstract summary: Existing skill self-evolution methods primarily revise skills using execution trajectories collected from current tasks.<n>We propose VCE-Skill, which distills noisy and implementation-specific public skill changes into reusable, structured version-change experience.<n>Our work highlights public skill version changes as a previously underexplored yet effective source of prior knowledge and advances trajectory-driven skill self-evolution.
• Score: 12.60845363300573
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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 adaptively fuses it with trajectory-derived proposals from the base evolver, thereby exploiting external experience while retaining task-specific evidence. Extensive experiments demonstrate that VCE-Skill improves skill self-evolution, increasing mean scores by 3.20--4.98 points; transfer experiments further show that the resulting skills achieve stronger cross-model transfer performance. Our work highlights public skill version changes as a previously underexplored yet effective source of prior knowledge and advances trajectory-driven skill self-evolution.

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