Evos started out as doing some AI consulting, while deploying these systems, I kept hitting the same problem: AI agents are terrible at real operational work in core industries. Agents could code the entire system, but asking it to handle a freight exception, or claims deadline issue and it fell apart - it just didn't have the domain knowledge.

So I started translating and codifying what operations experts actually know - the decision frameworks, edge cases, escalation protocols - into agent skills for the Evos platform.

Last week, I noticed there are over 3000 skills on ClawHub, and nearly all of them are dev tool wrappers and API integrations. As far as I could tell, there aren't many skills that teach agents genuine domain expertise for traditional industries - and even fewer coming from verified expertise.

Today, I open sourced the Evos agent skills.

We've published 8 skills for use cases across logistics, manufacturing, retail and energy. Each of them follow the Agent Skills open standard, and work across all the major platforms.

Beyond the skills, I built in an eval suite - 20 to 25 scenarios from real operations, scored against weighted rubrics and also benchmarked agents with the skills vs agents without.

Repo: https://github.com/ai-evos/agent-skills

Would love your feedback from anyone whose been in these industries, or thoughts as a whole.

I'll be parked in the comments - thanks!