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Evidence record 17942 · automatically gathered

SkillAligner: Treating Retrieved Skills as Adaptable Drafts at Execution Time

General-purpose skills promise reusable procedural knowledge for language agents, yet semantic relevance does not guarantee execution utility: a retrieved skill may encode assumptions that conflict with the current task, execution environment, or other retrieved skills. We formalize this problem as the skill--execution misfit. To address it, we propose SkillAligner, a training-free execution-time skill adaptation framework that treats retrieved skills as adaptable drafts rather than fixed instru

Record details

Published: 7 August 2026
Source: arXiv cs.LG
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 10 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (7 August 2026), “SkillAligner: Treating Retrieved Skills as Adaptable Drafts at Execution Time,” evidence record 17942, https://ethics.ai/record/17942 (originally published by arXiv cs.LG).

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