helderberto Domain Modeling
The active discipline of shaping the model — challenging terms, inventing edge-case scenarios, and writing vocabulary down the moment it crystallizes. Merely reading a glossary for vocabulary is a one-line habit any skill does; this skill is for when you're changing the model, not consuming it.
Artifact
Maintain the project's glossary in its existing convention. If there is none, create CONTEXT.md at the repo root. Record decisions that settle a term via /create-adr so the why is preserved separately from the what.
Ubiquitous language
One term, one meaning, used everywhere — prose, code, docs, and the glossary agree. For each term write:
- A crisp definition.
- An Avoid list of the rejected synonyms, so the same concept never travels under two names.
When the same word means two things, that ambiguity is the work — split it into two named terms and retire the overloaded one.
Sharpen by stress
Invent edge-case scenarios that a term must survive. A definition that can't classify the edge case is still fuzzy — refine it until it can, then write it down immediately. Flag ambiguities you can't yet resolve; record the resolution once decided.
Completion: every term touched has a definition and an Avoid list, and every flagged ambiguity is either resolved or explicitly parked.