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SkillSmith: Compiling Agent Skills into Boundary-Guided Runtime Interfaces

SkillSmith is a compiler-runtime framework that enhances the efficiency of large language model (LLM)-based agent systems. It compiles skill packages offline into minimal executable interfaces, reducing redundant context injection and repeated reasoning, which are common inefficiencies in existing agent frameworks.

WHY IT MATTERS

Improving agent efficiency means faster, more cost-effective AI deployments, allowing BFSI engineers to build more powerful and responsive AI applications without excessive resource usage.

Source: arXiv · 2026-05-18

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