RESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources
Skills are a useful abstraction for software agents, turning human and agent experience into reusable procedural knowledge. Yet existing skill libraries are mostly hand-written, text-centric, or derived from agent traces, leaving tutorial videos and other multimodal human resources largely underused. We present RESOURCE2SKILL, a framework that distills multimodal resources, including tutorial videos, repositories, articles, and reference artifacts, into executable skills for software agents. RES
Record details
Published: 15 July 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Agents & autonomy
Retrieved: 21 July 2026
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How to cite this record
ethics.ai (15 July 2026), “RESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources,” evidence record 11924, https://ethics.ai/record/11924 (originally published by HuggingFace Daily Papers).
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