domain-modeling

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• SKILL.md

SKILL.md (first lines)

# 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; a legacy `CONTEXT.md` counts. If there is none, create `GLOSSARY.md` at the repo root. A repo with several bounded contexts gets one glossary per context, plus a root `GLOSSARY-MAP.md` that points to each. Call the Skill tool with `to-adr` to record decisions that settle a term, 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.

From helderberto/agent-skills, MIT.

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