Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/kensuh-domain-modeling
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: writing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
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
- 71 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: 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](./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 KenSuh/open-agent-harness, MIT.
More from KenSuh/open-agent-harness
- 0.606score
gpt-5-4-prompting
KenSuh
Internal guidance for composing Codex and GPT-5.4 prompts for coding, review, diagnosis, and research tasks inside the Codex Claude Code plugin
SkillAFreshness: A★ 3Claude Code +9 - 0.605score
humanize-korean
KenSuh
AI(ChatGPT·Claude·Gemini 등)가 쓴 한글 텍스트를 "사람이 쓴 글처럼" 윤문해주는 오케스트레이터 스킬.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
computer-use
KenSuh
Drives the GUI of a visible local app window through `orca computer`: accessibility tree, clicks, typing, menus, dialogs, and screenshots in native apps and…
SkillAFreshness: A★ 3Claude Code +9 - 0.601score
humanize
KenSuh
AI가 쓴 한글 텍스트를 자연스럽게 윤문하는 진입 명령.
SkillAFreshness: A★ 3Claude Code +9 - 0.601score
humanize-redo
KenSuh
가장 최근 윤문 결과를 2차로 다시 다듬는다 — 특정 카테고리·문단·강도 조정도 가능.
SkillAFreshness: A★ 3Claude Code +9 - 0.601score
humanize-scan
KenSuh
한글 글에 AI 티가 얼마나 있는지 재고, 실제로 고치면 어떻게 되는지 표본으로 보여주는 정찰 스킬.
SkillAFreshness: A★ 3Claude Code +9 - 0.598score
codex-cli-runtime
KenSuh
Internal helper contract for calling the codex-companion runtime from Claude Code
SkillAFreshness: A★ 3Claude Code +9 - 0.593score
codex-result-handling
KenSuh
Internal guidance for presenting Codex helper output back to the user
SkillAFreshness: A★ 3Claude Code +9 - 0.579score
prototype
KenSuh
Build a throwaway prototype to answer a design question.
SkillAFreshness: A★ 3Claude Code +9 - 0.579score
codebase-design
KenSuh
Shared vocabulary for designing deep modules.
SkillAFreshness: A★ 3Claude Code +9
Signals
- Stars
- 3
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 23, 2026 (5 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/KenSuh/open-agent-harness
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from KenSuh
- 0.606score
gpt-5-4-prompting
KenSuh
Internal guidance for composing Codex and GPT-5.4 prompts for coding, review, diagnosis, and research tasks inside the Codex Claude Code plugin
SkillAFreshness: A★ 3Claude Code +9 - 0.605score
humanize-korean
KenSuh
AI(ChatGPT·Claude·Gemini 등)가 쓴 한글 텍스트를 "사람이 쓴 글처럼" 윤문해주는 오케스트레이터 스킬.
SkillAFreshness: A★ 3Claude Code +9 - 0.604score
computer-use
KenSuh
Drives the GUI of a visible local app window through `orca computer`: accessibility tree, clicks, typing, menus, dialogs, and screenshots in native apps and…
SkillAFreshness: A★ 3Claude Code +9 - 0.601score
humanize
KenSuh
AI가 쓴 한글 텍스트를 자연스럽게 윤문하는 진입 명령.
SkillAFreshness: A★ 3Claude Code +9 - 0.601score
humanize-redo
KenSuh
가장 최근 윤문 결과를 2차로 다시 다듬는다 — 특정 카테고리·문단·강도 조정도 가능.
SkillAFreshness: A★ 3Claude Code +9 - 0.601score
humanize-scan
KenSuh
한글 글에 AI 티가 얼마나 있는지 재고, 실제로 고치면 어떻게 되는지 표본으로 보여주는 정찰 스킬.
SkillAFreshness: A★ 3Claude Code +9
Cite this page
domain-modeling skill. Agent Mart. https://agentmart.dev/skills/kensuh-domain-modeling (last updated 2026-10-24)