AINeutralarXiv – CS AI · 6h ago6/10
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Automating SKILL.md Generation for Computer-Using Agents via Interaction Trajectory Mining
Researchers developed a three-stage pipeline to automatically extract skill libraries from computer-using agent interaction data, achieving high readability (95% purity on labeled benchmarks) but failing to improve downstream policy performance across domains. The study reveals that while trajectory mining can expose interpretable skill structure, current technical limitations prevent reliable cross-domain transfer improvements.