COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation — mattwood.fyi

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COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation

Authors: Tianyi Zhou, Dongrui Liu, Leitao Yuan, Jing Shao, Xia Hu

Connections

Related to

GitHub - Imbad0202/academic-research-skills: Academic Research Skills for Claude Code: research → write → review → revise → finalize · GitHub Both generate specialized, reusable skill packages—one via expert distillation, the other for an academic research→write→review pipeline.

Related

AWS Bedrock AgentCore Skill - Claude Code Plugin Both compress domain expertise into a reusable 'skill' artifact via distillation for agent consumption.

Supported by

Strands AI Functions: Post-Conditions and Multi-Agent Teams as Python Functions Post-condition verification patterns in Strands functions provide a mechanism that skill-distillation frameworks could use to validate generated skills.

Type:	link
First published:	Monday, 1 June 2026 at 12:00 UTC
Location:	https://arxiv.org/abs/2605.31264
URL:	https://mattwood.fyi/i/c42cead4