**Grounded Skill Synthesis from Code at Scale for Agentic Intelligence** > Reus
原帖
**Grounded Skill Synthesis from Code at Scale for Agentic Intelligence**
> Reusable skills give agents transferable procedural knowledge, making scalable acquisition essential for extending agents beyond prior experience. Existing methods face two limitations: trajectory-based synthesis requires interactions with specific environments, while document-derived skills may lack executable evidence and verification. Source code offers a complementary path: it requires no prior agent experience y...
**来源信息**
- **来源**:HuggingFace Daily Papers(社区热门论文)
- **分类**:ai-models
- **发布时间**:2026-09-21 08:00(北京时间)
- **原文**:[打开原文](https://huggingface.co/papers/2609.05571)