{
  "id": 4757558,
  "title": "Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Security",
  "url": "https://urgent.news/2026/08/30/towards-a-systems-foundation-for-agentic-skills-architecture",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-30T06:36:42.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.29596v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "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…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}