How skills make agents reliable and why that matters not just for teams, but also for individual users.
The leap from a simple chatbot to an autonomous agent became possible through tools. An AI that can execute code, search the web and edit documents does more than answer questions. It can complete entire work steps on its own.
But the more an agent can do, the more obvious it becomes that not every agent does it reliably. Skills are the decisive building block here. You can think of them as small, modular instructions: each one tells the agent how to solve a specific task cleanly and what it should avoid. They are only loaded when needed, can be refined at any time and can even include code when necessary. That is how a probabilistic model turns into a reliable workflow.
And the best part: this is not just useful for the tech bubble. Whether you manage your daily work with Chatti, automate with Claude Code or build agents inside a company, skills can be used at every level. They are platform-independent, easy to read and can go into as much depth as needed.
In this webinar, we will show how skills are structured, which ones we use and how to create your own.
Two practical examples will accompany us:
- our internal skills hub
- our demand planning agent
How will your working day change as agents take over more and more tasks? Let’s discuss it.
Attention: The webinar language is German.