SkillNet: Create, Evaluate, and Connect AI Skills
Current AI agents can flexibly invoke tools and execute complex tasks, yet their long-term advancement is hindered by the lack of systematic accumulation and transfer of skills. Without a unified mechanism for skill consolidation, agents frequently ``reinvent the wheel'', rediscovering solutions in isolated contexts without leveraging prior strategies. To address this challenge, we introduce SkillNet, an open infrastructure for creating, evaluating, and organizing AI skills at scale. SkillNet structures skills within a unified ontology that supports creating skills from heterogeneous sources, establishing rich relational connections, and performing multi-dimensional evaluation across Safe...
| Authors | Yuan Liang, Ruobin Zhong, Haoming Xu et al. |
|---|---|
| Primary category | cs.AI |
| Published | 26 February 2026 |
| Last updated at source | 23 August 2026 |
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