学术相关
Conscious awareness, sensory integration, and evidence accumulation in bodily self-perception 1
Testing the drift-diffusion model 2
技术技巧
Skills资料
- Agent Skills 官方独立文档
- Claude Blog
对于复杂的skill文档，可以在skill目录中绑定其他文档并在SKILL.md中通过名称引用这些文档
可以通过skill执行脚本
开发建议
- 先识别Agent能力缺陷，评估skills对能力的提升
- 当
SKILL.md臃肿时切分内容；对上下文互斥或少用内容单独分割 - Code可以作为执行脚本和文档，需明确运行还是读取脚本
- 监控Agent实际使用，分析意外轨迹或错误，迭代skill，特别是
name和description - 完成任务后，让工具反思成功和创建的错误，提取到可复用的技能
Is semantic chunking worth the computational cost? 3
- 在拼接数据集上：语义分块效果更佳
- 在真实数据集上：语义分块与固定分块差异不大
Automatic Prompt Engineering (APE) 自动提示词优化
Optn-source logging, debugging, and otpimization platform for AI agent & LLM Applications
- logs, annotation, and scoring functions
- pre-configured LLM-as-a-judge eval metrics
- automated agent optimization algorithms
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Lanfranco, R. C., Katyal, S., Hägerdal, A., Luan, X., Nos, V., & Ehrsson, H. H. (2025). Conscious awareness, sensory integration, and evidence accumulation in bodily self-perception. Proceedings of the National Academy of Sciences, 122(49), e2503629122. https://doi.org/10.1073/pnas.2503629122 ↩
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Fudenberg, D., Newey, W., Strack, P., & Strzalecki, T. (2020). Testing the drift-diffusion model. Proceedings of the National Academy of Sciences, 117(52), 33141–33148. https://doi.org/10.1073/pnas.2011446117 ↩
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Qu, R., Tu, R., & Bao, F. (2024). Is semantic chunking worth the computational cost? (arXiv:2410.13070). arXiv. https://doi.org/10.48550/arXiv.2410.13070 ↩