Skills in Agents
Skills can be attached directly to an Agent. When attached, the Skill is active for anyone using that Agent, without requiring each user to install it.
| Skill | Agent |
|---|
Defines | How nuwacom responds | What nuwacom does |
Focus | Format, tone, structure | End-to-end task execution |
Mode | Passive — activates automatically or on demand | Active — can run autonomously |
Think of it as | The rulebook | The executor |
Picture a Competitor Analysis Agent with the matching Skill built in. A team member opens it and asks:
“Analyze how our competitors position themselves in the market. Focus on messaging, value propositions, tone of voice, and target audience. Show how we can differentiate our positioning.”
The output comes back already structured the way your strategy team defined it including the same sections, same depth, same standards. Whether the request comes from marketing, sales, or product, the analysis follows one consistent format.
This means you can ship fully configured Agents to your teams with tone, structure, and format already locked in.
From one-off conversations to repeatable AI behavior
AI skills bring the principles that have always defined good software, modularity, reusability, testability, to the way teams work with AI.
A Skill isn't a clever prompt someone wrote on a Tuesday. It's a defined, shareable, testable unit of behavior that produces the same quality every time it runs.
And as agents get more capable, this matters more, not less. The teams building serious agentic workflows are asking "what behavior do we want it to repeat, and how do we make that behavior reliable across everyone who uses it?"
AI Skills are the answer.
They're the building blocks that turn AI from a productivity tool into infrastructure.