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SkillReranker

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2026-07-18 / skill-finderRerank agent skills by decomposed subtask, not by whole-task similarity (SkillReranker)arXiv 2607.06283 attacks the problem that growing skill libraries make selection harder. SkillReranker performs semantic decomposition on both the task side and the skill side, builds a directed acyclic execution graph with intermediate task states as nodes and candidate skills as edges, then cross-encodes over candidates per task interval. On ALFWorld and ScienceWorld across three backbone LLMs it improved task performance while reducing both environment interaction steps and token consumption — a rare case where accuracy and cost move the same direction.

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arXiv 2607.06283

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