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@skills protocol separates agent skill functions for better utilization

A new open protocol called @skills has been proposed to address the limitations of current agent skill delivery models. The protocol separates content, persistence, and automatic triggering, with only the latter requiring prompt residency. This allows for more efficient use of limited trigger slots and enables the long tail of skills to be utilized. The @skills protocol is implemented in the AdaL CLI and supported by an optional hub for search and hosting. AI

IMPACT This new protocol could improve the efficiency and usability of agent skills by separating their core functions, potentially leading to more sophisticated and accessible AI agents.

RANK_REASON The item is an academic paper describing a new protocol for agent skills. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

@skills protocol separates agent skill functions for better utilization

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Li Yin (Atlas), Zhi Li (Atlas), Zhan Shi (Atlas), Haoran Zhang (Atlas), Haebin Seong (Atlas), Zhangyang (Atlas), Wang ·

    @skills: Attention is all you have

    arXiv:2608.12610v1 Announce Type: new Abstract: There are 56,804 public agent skills today, and teams write many more privately. The dominant delivery model is installation: once installed, a skill's description remains in the system prompt, competing for fewer than 100 reliable …