What if an AI agent could preserve a colleague’s judgment without pretending to become that person?

COLLEAGUE.SKILL turns chats, documents, emails, screenshots, and other traces into inspectable agent skills: portable folders of instructions, examples, metadata, and correction history.

The key idea is expert knowledge distillation : the extraction of useful human expertise into a bounded technical artifact.

For enterprises, this points to a new operating model. Scarce expertise can become reusable, auditable, and updateable, but only if provenance, consent, and limits remain visible.

Inspired by the work of Tianyi Zhou, Dongrui Liu, Leitao Yuan, Jing Shao, and Xia Hu, this episode was created using Google's NotebookLM.

Read the original paper :

https://arxiv.org/abs/2605.31264