arxiv
PublishedMay 13, 2026 at 4:00 AM
—neutral
SkillEvolver: Skill Learning as a Meta-Skill
Publisher summary· verbatim
arXiv:2605.10500v1 Announce Type: new Abstract: Agent skills today are static artifact: authored once -- by human curation or one-shot generation from parametric knowledge -- and then consumed unchanged, with no mechanism to improve from real use. We propose \textbf{SkillEvolver}, a lightweight, plu
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivMODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning20harxivPosition: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!20harxivARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation20harxivGeneralizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions20hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗