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News/SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision
arxiv
PublishedJune 18, 2026 at 4:00 AM
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SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision

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arXiv:2606.01139v3 Announce Type: replace Abstract: Agent skills are procedural artifacts that enable LLM agents to execute workflows, verify constraints, and recover from failures. Existing self-evolving methods refine skills using accumulated trajectories. However, they struggle in cold-start sett

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arxivAn AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response8harxivLearning Transferable Latent User Preferences for Human-Aligned Decision Making8harxivRepair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents8harxivIndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD8h
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