SkillFoundry mines heterogeneous scientific resources into a self-evolving library of validated agent skills, with 71.1% novelty versus prior libraries and measurable gains on coding benchmarks plus two genomics tasks.
Agentic proposing: Enhancing large language model reasoning via compositional skill synthesis.arXiv preprint arXiv:2602.03279
3 Pith papers cite this work. Polarity classification is still indexing.
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Skill1 trains a single RL policy to co-evolve skill selection, utilization, and distillation in language model agents from one task-outcome reward, using low-frequency trends to credit selection and high-frequency variation to credit distillation, outperforming baselines on ALFWorld and WebShop.