A skill catalog only becomes useful when teams can actually discover the right capability at the right time without getting lost in an internal list of demos.
This guide helps teams think through how reusable AI capability should be named, grouped, and surfaced.
Why catalog design matters
Catalog design affects adoption more than most teams expect.
A good catalog reduces search cost and increases trust in what the system can do.
How to organize the catalog
The strongest catalogs are usually organized by user problem, business function, or operating context rather than by underlying technical implementation.
That structure makes discovery easier for the people who need the skill, not just for the builders who created it.
FAQ
Who should start with this guide?
Teams that already know they need reusable skills but have not designed the catalog model should start here.
When should this move into delivery?
Delivery should start once the team can agree on catalog structure, owner logic, and how users are expected to discover skills.