p00318821-eng/skills-plugins-hooks-agents/domain-modeling
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Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model.
Install
npx vskill@latest install p00318821-eng/skills-plugins-hooks-agents/domain-modelingSKILL.md
Domain Modeling
Actively build and sharpen the project's domain model as you design. This is the active discipline — challenging terms, inventing edge-case scenarios, and writing the glossary and decisions down the moment they crystallise. (Merely reading .ai/CONTEXT.md for vocabulary is not this skill — that's a one-line habit any skill can do. This skill is for when you're changing the model, not just consuming it.)
Fork note: this skill is vendored from github.com/mattpocock/skills (skills/engineering/domain-modeling) with one deliberate modification — upstream targets root-level CONTEXT.md/docs/adr/; this fork targets .ai/CONTEXT.md/.ai/adr/ instead, to stay inside this Standard's single .ai/ umbrella (see project-memory-template's .ai/LINEAGE.md). Tracked in manifests/origins.json the same way caveman's local modification is tracked. Everything else below is unchanged from upstream.
File structure
Most repos have a single context:
If a .ai/CONTEXT-MAP.md exists, the repo has multiple contexts. The map points to where each one lives:
Create files lazily — only when you have something to write. If no .ai/CONTEXT.md exists, create one when the first term is resolved. If no .ai/adr/ exists, create it when the first ADR is needed.
During the session
Challenge against the glossary
When the user uses a term that conflicts with the existing language in .ai/CONTEXT.md, call it out immediately. "Your glossary defines 'cancellation' as X, but you seem to mean Y — which is it?"
Sharpen fuzzy language
When the user uses vague or overloaded terms, propose a precise canonical term. "You're saying 'account' — do you mean the Customer or the User? Those are different things."
Discuss concrete scenarios
When domain relationships are being discussed, stress-test them with specific scenarios. Invent scenarios that probe edge cases and force the user to be precise about the boundaries between concepts.
Cross-reference with code
When the user states how something works, check whether the code agrees. If you find a contradiction, surface it: "Your code cancels entire Orders, but you just said partial cancellation is possible — which is right?"
Check for an existing owner before adding a term
Before adding a term to .ai/CONTEXT.md, check whether a runtime/consumer-facing glossary already owns it in this repo (mechanical signal: a references/hisd-power-bi-context.md-style file, or similar). If one exists, cross-reference it instead of re-deriving the definition — .ai/CONTEXT.md is a planning-time, engineering-facing glossary; a file like hisd-power-bi-context.md is runtime, Copilot/FDA-facing. They can name-collide on the same term without being the same system, so link rather than duplicate.
Update .ai/CONTEXT.md inline
When a term is resolved, update .ai/CONTEXT.md right there. Don't batch these up — capture them as they happen. Use the format in CONTEXT-FORMAT.md.
.ai/CONTEXT.md should be totally devoid of implementation details. Do not treat it as a spec, a scratch pad, or a repository for implementation decisions. It is a glossary and nothing else.
Offer ADRs sparingly
Only offer to create an ADR when all three are true:
- Hard to reverse — the cost of changing your mind later is meaningful
- Surprising without context — a future reader will wonder "why did they do it this way?"
- The result of a real trade-off — there were genuine alternatives and you picked one for specific reasons
If any of the three is missing, skip the ADR. Use the format in ADR-FORMAT.md.
Security
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Quality evaluation
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Source
- SKILL.md in the repositoryCheckingskills/domain-modeling/SKILL.md
Popularity
- 7-day trend score
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Works with
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