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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/nikhil-vytla-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.
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About
Use cases: writing
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
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
- Metadata
- source: https://github.com/mattpocock/skills/blob/main/skills/engineering/domain-modeling/SKILL.md · license: MIT
- Instructions
- 71 lines in SKILL.md · view on GitHub
Files (3)
- ADR-FORMAT.md
- GLOSSARY-FORMAT.md
- SKILL.md
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 nikhil-vytla/skills, MIT.
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- 0.562score
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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…
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
tdd
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Test-driven development.
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improve-codebase-architecture
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Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
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triage
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Move issues and external PRs through a state machine of triage roles, categorise, verify, grill if needed, and write agent-ready briefs.
SkillAFreshness: A★ 1Claude Code +9 - 0.553score
implement-spec
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Implement the result of /to-spec and /to-tickets in code.
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retro
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Conduct a retrospective on a coding session.
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papercuts
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Log small frictions the moment they happen, using the papercut CLI bundled with this skill.
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clean-copy
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Cut interface copy that shouldn't exist — captions that restate a label, hints that pre-empt a worry the user never had, warnings that are scar tissue from a…
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pr-descriptions
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Write high-signal pull request descriptions with mermaid diagrams, real code snippets, and PR-train conventions.
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prototype
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Build a throwaway prototype to answer a design question.
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wayfinder
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Plan a huge chunk of work — more than one agent session can hold — as a shared map of decision tickets on your issue tracker, and resolve them one at a time…
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 4, 2026 (26 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/nikhil-vytla/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from nikhil-vytla
- 0.562score
tdd
nikhil-vytla
Test-driven development.
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
code-review
nikhil-vytla
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…
SkillAFreshness: A★ 1Claude Code +9 - 0.562score
codebase-design
nikhil-vytla
Shared vocabulary for designing deep modules.
SkillAFreshness: A★ 1Claude Code +9 - 0.559score
improve-codebase-architecture
nikhil-vytla
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
SkillAFreshness: A★ 1Claude Code +9 - 0.559score
triage
nikhil-vytla
Move issues and external PRs through a state machine of triage roles, categorise, verify, grill if needed, and write agent-ready briefs.
SkillAFreshness: A★ 1Claude Code +9 - 0.553score
implement-spec
nikhil-vytla
Implement the result of /to-spec and /to-tickets in code.
SkillAFreshness: A★ 1Claude Code +9
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
domain-modeling skill. Agent Mart. https://agentmart.dev/skills/nikhil-vytla-domain-modeling (last updated 2026-10-24)