Install
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npx agentmarket install skill/s0up4200-domain-modeling
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About
Use cases: writing
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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 discussing codebase terminology, writing or editing a GLOSSARY.md, or recording or editing an ADR.
- License
- MIT
- Instructions
- 75 lines in SKILL.md · view on GitHub
Files (4)
- ADR-FORMAT.md
- GLOSSARY-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* `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, on the implementation branch: 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. ## Planning versus implementation While you plan (grilling, a wayfinder ticket, a spec), record each glossary entry and ADR as **Domain Docs** in the plan: the ticket resolution or the spec. Write `GLOSSARY.md` and `docs/adr/` files only on the implementation branch, during `/implement` or `/implement-spec`, with the code. ## 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?" ### Record glossary changes inline When a term is resolved, record its entry right there, as Domain Docs while you plan. Don't batch these up: capture them as they happen. Use the format in [GLOSSARY-FORMAT.md](./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](./ADR-FORMAT.md).
From s0up4200/skills, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 5, 2026 (23 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/s0up4200/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from s0up4200
- 0.570score
focus
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Give an overview of large chained work on GitHub (tracking issues with sub-issues and blocked-by dependencies) and recommend where the user should put their…
SkillAFreshness: AClaude Code +9 - 0.570score
branch-cleanup
s0up4200
Find dead local git branches and worktrees in the current repo, write a plan with a SHA backup, and hand the user a cleanup script to run.
SkillAFreshness: AClaude Code +9 - 0.567score
findability
s0up4200
Retro over the last N coding-agent sessions in a repo (Claude Code and Codex).
SkillAFreshness: AClaude Code +9 - 0.565score
labels
s0up4200
Label a GitHub pull request or issue with the repo's existing labels.
SkillAFreshness: AClaude Code +9 - 0.565score
github-resolution-audit
s0up4200
Use when auditing GitHub Issues or Discussions for open feature requests that may have shipped, bugs that may already be fixed, stale reports, or duplicates…
SkillAFreshness: AClaude Code +9 - 0.565score
file-issue
s0up4200
Draft and file a GitHub issue in an upstream repository soup does not maintain.
SkillAFreshness: AClaude Code +9
Cite this page
domain-modeling skill. Agent Mart. https://agentmart.dev/skills/s0up4200-domain-modeling (last updated 2026-10-24)