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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Files it touches
~/.claude/skills/domain-modeling
What's inside
- Skill name
domain-modeling- Description
- 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.
- License
- MIT
- Instructions
- 71 lines in SKILL.md · view on GitHub
Files (4)
- ADR-FORMAT.md
- CONTEXT-FORMAT.md
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# 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* `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.) ## File structure Most repos have a single context: ``` / ├── CONTEXT.md ├── docs/ │ └── adr/ │ ├── 0001-event-sourced-orders.md │ └── 0002-postgres-for-write-model.md └── src/ ``` If a `CONTEXT-MAP.md` exists at the root, the repo has multiple contexts. The map points to where each one lives: ``` / ├── CONTEXT-MAP.md ├── docs/ │ └── adr/ ← system-wide decisions ├── src/ │ ├── ordering/ │ │ ├── CONTEXT.md │ │ └── docs/adr/ ← context-specific decisions │ └── billing/ │ ├── CONTEXT.md │ └── docs/adr/ ``` Create files lazily — only when there is implemented ground truth to document. If no `CONTEXT.md` exists, create one alongside the first code change that establishes a resolved term. If no `docs/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 `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?" ### Keep CONTEXT.md synchronized with ground truth Do not update `CONTEXT.md` ahead of implementation. During planning or design, record proposed vocabulary in the plan or discussion instead. Once the corresponding code or other authoritative ground truth changes, update `CONTEXT.md` in the same change so the glossary and ground truth always agree. A documentation-only correction is appropriate only when it brings a stale `CONTEXT.md` back into sync with already-existing ground truth. Use the format in [CONTEXT-FORMAT.md](./CONTEXT-FORMAT.md). `CONTEXT.md` should be totally devoid of implementation details. Do not treat `CONTEXT.md` as a spec, a scratch pad, a repository for implementation decisions, or a declaration of future behavior. It is a glossary and nothing else. ### Offer ADRs sparingly Only offer to create an ADR when all three are true: 1. **Hard to reverse** — the cost of changing your mind later is meaningful 2. **Surprising without context** — a future reader will wonder "why did they do it this way?" 3. **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](./ADR-FORMAT.md).
From nseng-ai/ns, MIT.
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 4
- Last commit (this folder)
- Aug 6, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/nseng-ai/ns
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from nseng-ai
- 0.557score
branch-context-impl
nseng-ai
Use when a user explicitly wants to implement from an attached branch-context plan on the current branch — "implement the branch context", "load the attached…
SkillBFreshness: B★ 2Claude Code +9 - 0.553score
branch-context-from-plan
nseng-ai
Use when a user explicitly wants to create an implementation branch from a saved plan and attach its branch context as a named Markdown key — "from plan"…
SkillBFreshness: B★ 2Claude Code +9 - 0.537score
diagnosing-bugs
nseng-ai
Diagnosis loop for hard bugs and performance regressions.
SkillBFreshness: B★ 2Claude Code +9 - 0.532score
pocock-review
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Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes — Standards (does the code follow this repo's documented coding…
SkillBFreshness: B★ 2Claude Code +9 - 0.532score
codebase-design
nseng-ai
Shared vocabulary for designing deep modules.
SkillBFreshness: B★ 2Claude Code +9 - 0.531score
writing-for-agents
nseng-ai
Writing documents for agents.
SkillBFreshness: B★ 2Claude Code +9
Cite this page
domain-modeling skill. Agent Mart. https://agentmart.dev/skills/nseng-ai-domain-modeling (last updated 2026-10-24)