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mattpocock/domain-modeling

mattpocock

domain-modeling

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.

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v1.0Saved Jun 18, 2026

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 you have something to write. If no CONTEXT.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 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?"

Update CONTEXT.md inline

When a term is resolved, update CONTEXT.md right there. Don't batch these up — capture them as they happen. Use the format in CONTEXT-FORMAT.md.

CONTEXT.md should be totally devoid of implementation details. Do not treat CONTEXT.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.

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Overall Score

87/100

Grade

A

Excellent

Safety

92

Quality

88

Clarity

85

Completeness

82

Summary

This skill guides AI agents to actively build and maintain a project's domain model by challenging terminology, recording architectural decisions, and keeping a glossary of domain language. The skill defines clear file structures (CONTEXT.md for terminology, CONTEXT-MAP.md for multi-context repos, ADR format for decisions) and provides specific instructions for when and how to update documentation during active work.

Detected Capabilities

file read (CONTEXT.md, CONTEXT-MAP.md, code)file write (CONTEXT.md, CONTEXT-MAP.md, ADR files)code analysis and comparison against documentationdomain modeling and terminology definition

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

ubiquitous languagedomain glossaryarchitectural decisioncontext mappingdomain-driven designsharpen terminologymulti-context repodecision recording

Use Cases

  • Establish ubiquitous language across a team's codebase
  • Challenge and sharpen domain terminology during feature development
  • Document architectural decisions with explicit decision rationale
  • Maintain consistency between stated domain model and actual code implementation
  • Support domain-driven design practices in multi-context or microservice architectures
  • Create a glossary of project-specific terms for onboarding and reference

Quality Notes

  • Skill clearly distinguishes between consuming documentation (one-line habit) and actively maintaining it (the core skill purpose)
  • Strong emphasis on laziness principle — create files only when there is content to write, reducing unnecessary scaffolding
  • Concrete examples of both single-context and multi-context repository structures, with visual diagrams clarifying the layout
  • Three clear criteria for ADR creation (hard to reverse, surprising, result of trade-off) prevent decision documentation bloat
  • Cross-references to supporting format guides (CONTEXT-FORMAT.md, ADR-FORMAT.md) with inline explanations of structure rules
  • Excellent boundary definition: explicitly states that CONTEXT.md should be 'totally devoid of implementation details' and is 'a glossary and nothing else'
  • Specific behavioral instructions (challenge against glossary, discuss concrete scenarios, cross-reference with code) give the agent clear actions to take
  • Strong emphasis on inline updates rather than batching, capturing decisions as they crystallize
  • Format templates are minimal and practical (one paragraph ADRs are acceptable), reducing friction for adoption
  • Clear guidance on what qualifies as domain language vs. general programming concepts
Model: claude-haiku-4-5-20251001Analyzed: Jun 18, 2026

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