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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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Network hosts it talks to 1
codeload.github.com· found in install command
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)
- SKILL.md
- openai.yaml · agents/
- ADR-FORMAT.md · references/
- GLOSSARY-FORMAT.md · references/
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_ `GLOSSARY.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: ``` / ├── GLOSSARY.md ├── docs/ │ └── adr/ │ ├── 0001-event-sourced-orders.md │ └── 0002-postgres-for-write-model.md └── src/ ``` If a `GLOSSARY-MAP.md` exists at the root, the repo has multiple contexts. The map points to where each one lives: ``` / ├── GLOSSARY-MAP.md ├── docs/ │ └── adr/ ← system-wide decisions ├── src/ │ ├── ordering/ │ ├── GLOSSARY.md │ │ └── docs/adr/ ← context-specific decisions │ └── billing/ │ ├── GLOSSARY.md │ └── docs/adr/ ``` Create files lazily — only when you have something to write. If no `GLOSSARY.md` exists, create one when the first term is resolved. 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 `GLOSSARY.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?" ### Update GLOSSARY.md inline When a term is resolved, update `GLOSSARY.md` right there. Don't batch these up — capture them as they happen. Use the format in [GLOSSARY-FORMAT.md](./references/GLOSSARY-FORMAT.md). `GLOSSARY.md` should be totally devoid of implementation details. Do not treat `GLOSSARY.md` 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: 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](./references/ADR-FORMAT.md) (Simple vs Formal ADRs). When creating a Formal ADR with `deciders:` frontmatter, default to the user's local GitHub username (via `gh api user --jq .login` or `git config user.name`), never generic (`Team`) or AI names. For managing system-wide ADRs, RFCs, Design Specs, or running automated ADR validation, reach for the [`docs`](../../productivity/docs/SKILL.md) skill (`bun run skills/productivity/docs/scripts/validate-adrs.mjs`).
From ngxccc/engineered-skills, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 11, 2026 (18 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/ngxccc/engineered-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.570score
git-flow
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Shape branches, slice atomic commits, create pull requests via the 3-Tier PR Matrix, or create sub-issues.
SkillAFreshness: AClaude Code +9 - 0.544score
tdd
ngxccc
Test-driven development.
SkillAFreshness: AClaude Code +9 - 0.544score
diagnosing-bugs
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Diagnosis loop for hard bugs and performance regressions.
SkillAFreshness: AClaude Code +9 - 0.544score
codebase-design
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Shared vocabulary for designing deep modules.
SkillAFreshness: AClaude Code +9 - 0.541score
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SkillAFreshness: AClaude Code +9 - 0.541score
setup-skills
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Configure this repo for the engineering skills — set up its issue tracker, triage label vocabulary, domain doc layout, and interactive 7-pillar Engineering…
SkillAFreshness: AClaude Code +9
Cite this page
domain-modeling skill. Agent Mart. https://agentmart.dev/skills/ngxccc-domain-modeling (last updated 2026-10-24)