COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation
- Published
- Source
- arXiv
- Paper number
- 281
- Field
- AI / General
- arXiv ID
- 2605.31264
Key points
- LLM agents are increasingly expected not only to complete isolated tasks but also to capture human expertise, judgment, and interaction style in a constrained form.
- This paper proposes an automated trace-to-skill distillation system that generates human-based AI skills through expert knowledge distillation.
- The authors describe the output contract, generation workflow, revision lifecycle, deployment surface, and domain presets implemented in the open-source system.
Paper links
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