SkillFoundry: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources
Conference on Language Modeling (COLM), 2026
SkillFoundry converts heterogeneous scientific resources — repositories, APIs, scripts, and documentation — into validated, reusable agent skills. The framework organizes scientific domains as knowledge trees, extracts operational contracts, compiles executable skill packages, and refines them through iterative validation. 71.1% of mined skills are novel relative to existing libraries, and they meaningfully improve agent performance on genomics workflows including cell-type annotation and scDRS.