Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2608.16544.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

A research paper proposing VCE-Skill, which improves agent skill self-evolution by distilling public skill version-change histories into structured experience and adaptively fusing it with execution-trajectory-derived proposals. Experiments report 3.20–4.98 point score gains and stronger cross-model skill transfer.

Proposes a concrete method for enriching agent skill libraries by mining public version histories — a previously untapped source — with measured gains over trajectory-only baselines.

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