SkillsInjector: Dynamic Skill Context Construction for LLM Agents 事件

SkillsInjector: Dynamic Skill Context Construction for LLM Agents arXiv:2605.29794v1 Announce Type: new Abstract: LLM agents now draw on growing skill libraries to handle complex tasks. However, injecting more skills does not always improve task completion and can even degrade it. Existing methods still treat skill injection as a static step, selecting skills with fixed criteria, fixing the budget in advance, and leaving descriptions unchanged. We argue that this static treatment can undermine