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SkillSpec: Consensus-Gated Agent Skill Evolution via Representation Specialization
Natural-language skills are textual procedural memories through which large language model (LLM) agents retain reusable task knowledge without updating model weights. Existing methods typically treat skills as either static artifacts or monolithic documents optimized using aggregate validation score
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