Always-on agents are powerful. They’re also unpredictable if you just let them run without any framework for how work gets done.
How do you give them structure without killing what makes them useful?
Co-work skills are the answer. You can take a skill you’ve already built - your research process, your proposal workflow, your customer outreach approach - and hand it directly to an always-on agent. It immediately understands how to operate within those parameters. No lengthy explanation. No re-typing context every session. The skill does the teaching.
What that means practically is that the same work you put into building skills for your team’s daily co-work sessions also becomes the instruction manual for your autonomous agents. One investment, two payoffs. And it’s a meaningful step toward agents that run with your logic, not just their own. That distinction matters a lot when something goes wrong.
Skills aren’t just for co-work. They’re becoming the standard way we communicate what we want from AI - whether that’s a chat session, a scheduled workflow, or an agent running in the background at 2 a.m.