Scientific Agent Skills (Repost)

  GitHub · K-Dense-AI

Reposted from the Scientific Agent Skills README on GitHub, as it stood on 11 November 2026 (version 2.72.0). Copyright (c) 2025 K-Dense Inc., used under the MIT License; the full license notice is at the end of this post. A Chinese translation is on the Chinese blog.

A collection of 177 scientific and research skills for AI agents, created by K-Dense. The skills cover biology, chemistry, medicine, physics, engineering, Earth science, data analysis, and scientific communication. Each provides guidance for a specific package, data source, or workflow, including the scientific conventions and validation checks needed to use it.

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Stanford CS329Z: Engineering AI Agents (Course Guide)

  Stanford CS329Z

A guide to Stanford CS329Z: Engineering AI Agents, written in my own words from the course website as it stood on 6 November 2026. The slides, assignments and course text belong to the CS329Z teaching team; follow the links for the originals. The schedule is tentative and may change during the quarter.

CS329Z is a 3-unit Stanford course for Autumn 2026, taught by Diyi Yang, Michael Ryan and John Yang. It is about building software around language models: from a single prompted call to pipelines, then to compound systems that combine models with retrievers, tools and optimizers, and finally to agents that choose their own next step.

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