SKT: Skill-Use Training at Scale via Verified Synthetic Data Generation
Agent skills have become an important mechanism for equipping language-model agents with reusable procedural knowledge. However, providing skills alone does not guarantee that current models can effectively identify, apply, and coordinate them. To improve skill-use capabilities, we introduce SKT, a verified data synthesis pipeline that constructs skill-grounded tasks and executable trajectories from large collections of agent skills. SKT selects suitable single-skill and multi-skill configuratio
Record details
Published: 3 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Agents & autonomy
Retrieved: 4 August 2026
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ethics.ai (3 August 2026), “SKT: Skill-Use Training at Scale via Verified Synthetic Data Generation,” evidence record 16109, https://ethics.ai/record/16109 (originally published by arXiv cs.AI).
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