构建、评估与连接 AI 技能 | SkillNet：大规模智能体“技能图谱”知识库

SkillNet is a large-scale knowledge repository designed to enhance the evolution and transfer of AI agent skills by organizing them into a structured and computable network. This system addresses the inefficiencies caused by isolated and repetitive skill development across different environments by offering a dynamic, ontology-based framework that encapsulates procedural knowledge necessary for task completion. SkillNet's structured network allows for efficient skill sharing and adaptation, demonstrated by performance improvements of 10-30 percentage points in various benchmarks like ALFWorld and ScienceWorld. The repository comprises over 200,000 skills across multiple fields, with 150,000 high-quality nodes, and includes an accompanying Python toolkit for ease of integration and experimentation. SkillNet aims to transform static knowledge into an executable toolbox, enhancing AI agents' reliability and control in complex tasks, and is positioned to support long-term agent development, cross-domain collaboration, and scientific automation.