SOURCE-LINKED INTELLIGENCE

Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Security

arXiv · AI, language, vision and robotics · article · Aug 30, 2026 · UTC

Autonomous large language model (LLM) agents increasingly face reliability, context consumption, and execution stability bottlenecks when deployed on complex, long-horizon tasks. While monolithic prompt engineering and stateless tool-calling paradigms struggle to scale, the field is rapidly converging toward \emph{agentic skills}: modular procedural abstractions that externalize execution knowledge into reusable, executable, and portable artifacts. This paper establishes a unified systems foundation and reference architecture for the agentic skills ecosystem. We formalize skills as externalize

Read original source ↗ Open in workspace

recordType

paper

region

Global