Human will be the differentiation when everyone produces the same things with AI agents with the same skills.

Since the virality of OpenClaw educated the market about agent skills, I have seen a lot of LinkedIn posts sharing 5,678 skills covering many things that previously required years of domain experience.

Agent skills will commoditise (or democratise for a better word) domain knowledge. And that is both a good thing and a bad thing.

The good - everyone can now do things that previously required years of domain experience without actually learning it with the help of AI agents. A founder can run a full SEO audit. A developer can do competitive analysis. A solo marketer can build a landing page.

The bad - when everyone is using the same skills with the same AI models, the output becomes the norm. The baseline. And baselines quickly become AI slop.

I have been building agent skills for the past few months. Here is what I learned - the skill file is maybe 20% of the value. The other 80% is the person running it.

My SEO audit skill produces technically correct output. But knowing which findings actually matter for a specific business at a specific stage - that requires years of experience the skill does not have.

Same skill. Same AI model. Different expert. Different result.

I have spoken to many AI power users. Many of them come to the same consensus - you can’t do full automation if you want to be better. To be better, you either add additional input into the skills, or you apply expert judgement and taste to the output.

I’m predicting that expert in the loop, not full AI automation, will be the key competitive edge going forward. Not just any human reviewing AI output. Someone who actually knows what good looks like in that specific domain.

The popular take is that we need generalists who can orchestrate AI to handle many things. I actually think it is the opposite. We need multi-specialists - people who are deep in 2-3 domains, not shallow across 10.

When everyone is running the same agent skills and getting the same average output, the 10% value you can add on top is the only competitive advantage left. And that 10% only comes from real domain expertise.

If you are installing agent skills without the expertise to evaluate the output, you are probably getting average results without knowing it. If you have the domain expertise but have not tried agent skills yet, you are probably leaving 10x leverage on the table.

#AI #AgentSkills #AISlop #AIAgent