packages/skills-catalog/skills/(architecture)/domain-analysis/SKILL.md
Maps business domains and suggests service boundaries in any codebase using DDD Strategic Design. Use when asking "what are the domains in this codebase?", "where should I draw service boundaries?", "identify bounded contexts", "classify subdomains", "DDD analysis", or analyzing domain cohesion. Do NOT use for grouping existing components into domains (use domain-identification-grouping) or dependency analysis (use coupling-analysis).
npx skillsauth add tech-leads-club/agent-skills domain-analysisInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This skill analyzes codebases to identify subdomains (Core, Supporting, Generic) and suggest bounded contexts following Domain-Driven Design Strategic Design principles.
Apply this skill when:
Core Domain: Competitive advantage, highest business value, requires best developers
Supporting Subdomain: Essential but not differentiating, business-specific
Generic Subdomain: Common functionality, could be outsourced
An explicit linguistic boundary where domain terms have specific, unambiguous meanings.
Scan codebase for business concepts (not infrastructure):
Entities (domain models with identity)
@Entity, class, domain modelsServices (business operations)
*Service, *Manager, *HandlerUse Cases (business workflows)
*UseCase, *Command, *HandlerControllers/Resolvers (entry points)
*Controller, *Resolver, API endpointsFor each concept, determine:
Primary Language Context
Subscription, Invoice, Payment → Billing languageMovie, Video, Episode → Content languageUser, Authentication → Identity languageLinguistic Boundaries
Concept Relationships
A subdomain has:
Common Domain Patterns:
Classify Each Subdomain:
Use this decision tree:
Is it a competitive advantage?
YES → Core Domain
NO → Does it require business-specific knowledge?
YES → Supporting Subdomain
NO → Generic Subdomain
High Cohesion Indicators ✅
Low Cohesion Indicators ❌
Cohesion Score Formula:
Score = (
Linguistic Cohesion (0-3) + // Shared vocabulary
Usage Cohesion (0-3) + // Used together
Data Cohesion (0-2) + // Entity relationships
Change Cohesion (0-2) // Change together
) / 10
8-10: High Cohesion ✅
5-7: Medium Cohesion ⚠️
0-4: Low Cohesion ❌
Rule 1: Linguistic Mismatch
User (identity) + Subscription (billing) in same serviceRule 2: Cross-Domain Dependencies
Rule 3: Mixed Responsibilities
Rule 4: Generic in Core
Rule 5: Unclear Boundaries
For each subdomain identified, suggest bounded context:
Bounded Context Characteristics:
Integration Patterns:
For each domain/subdomain:
## Domain: {Name}
**Type**: Core Domain | Supporting Subdomain | Generic Subdomain
**Ubiquitous Language**: {key business terms}
**Business Capability**: {what business problem it solves}
**Key Concepts**:
- {Concept} (Entity|Service|UseCase) - {brief description}
**Subdomains** (if applicable):
1. {Subdomain} (Core|Supporting|Generic)
- Concepts: {list}
- Cohesion: {score}/10
- Dependencies: → {other domains}
**Suggested Bounded Context**: {Name}Context
- Linguistic boundary: {where terms have specific meaning}
- Integration: {how it should integrate with other contexts}
**Dependencies**:
- → {OtherDomain} via {interface/API}
- ← {OtherDomain} via {interface/API}
**Cohesion Score**: {score}/10
## Cross-Domain Cohesion
| Domain A | Domain B | Cohesion | Issue | Recommendation |
| -------- | -------- | -------- | ------------------ | ----------------------- |
| Billing | Identity | 2/10 | ❌ Direct coupling | Use interface |
| Content | Billing | 6/10 | ⚠️ Usage tracking | Event-based integration |
## Issues Detected
### Priority: High
**Issue**: {description}
- **Location**: {file/class/method}
- **Problem**: {what's wrong}
- **Concepts**: {involved concepts}
- **Cohesion**: {score}/10
- **Recommendation**: {suggested fix}
### Priority: Medium
{similar format}
## Suggested Bounded Contexts
### {ContextName}Context
**Contains Subdomains**:
- {Subdomain1} (Core)
- {Subdomain2} (Supporting)
**Ubiquitous Language**:
- Term: Definition in this context
**Integration Requirements**:
- Consumes from: {OtherContext} via {pattern}
- Publishes to: {OtherContext} via {pattern}
**Implementation Notes**:
- Separate persistence
- Independent deployment
- Explicit API boundaries
For Each Concept:
For Each Domain:
For Cohesion Analysis:
Analyze business capability
└─ Is it competitive advantage?
├─ YES → Core Domain
└─ NO → Is it business-specific?
├─ YES → Supporting Subdomain
└─ NO → Generic Subdomain
Same vocabulary? → High linguistic cohesion
Used together? → High usage cohesion
Direct relationships? → High data cohesion
Change together? → High change cohesion
All high → Strong subdomain candidate
Mix of high/low → Review boundaries
All low → Likely wrong grouping
Clear boundary signs:
✅ Distinct Ubiquitous Language
✅ Concepts have unambiguous meaning
✅ Different meanings across contexts
✅ Clear integration points
Unclear boundary signs:
❌ Same terms with same meanings everywhere
❌ Concepts used identically across system
❌ No clear linguistic differences
❌ Tight coupling everywhere
Big Ball of Mud
All-Inclusive Model
Mixed Linguistic Concepts
Good domain identification has:
tools
Reviews a GitHub pull request and posts inline comments plus one consolidated summary, adapting to any codebase by discovering the project's own test runner, requirement specs, and architecture conventions before running six specialized review agents in parallel. Stack-agnostic across language and framework; targets GitHub PRs via the gh CLI. Use when the user says "review PR 128", "review this PR", "code review this PR", or "check this pull request". Do NOT use for creating PRs or responding to review comments (use gh-address-comments), or debugging failing CI checks (use gh-fix-ci).
development
Opinionated Rails conventions: rich models, concerns, CRUD-everything, state-as-records, minimal dependencies, Minitest with fixtures. Load this skill BEFORE any code-level thinking, not only before editing a file. It is required the moment a task touches Rails code in ANY way: designing or even just discussing a data model, schema, migration, entity, association, field, validation, class, or method name; writing, planning, reviewing, analyzing, testing, debugging, or refactoring; or proposing any model, table, column, route, or code snippet inline in chat. If you are about to name a model or sketch a column you are already in scope, even in an exploratory back-and-forth where no file is written yet. Do not let a "we're just discussing" framing defer it. Do NOT use for non-Rails backends, NestJS, or general architecture (use nestjs-modular-monolith or coding-guidelines).
testing
Feature planning and implementation with 4 adaptive phases — Specify, Design, Tasks, Execute. Auto-sizes depth by complexity. Creates atomic tasks with verification criteria, atomic git commits, and requirement traceability. Features an independent Verifier (author != verifier, evidence-or-zero), persistent decision log (STATE.md), and test-coverage-matrix-driven tests, plus a self-improving lessons layer that turns verification failures into reusable project-local guidance. Stack-agnostic. Use when (1) Planning features (requirements, design, task breakdown), (2) Implementing with verification and atomic commits, (3) Validating or verifying an implementation against a spec. Triggers on "specify feature", "discuss feature", "design", "tasks", "implement", "validate", "verify work", "UAT", "record decision", "pause work", "resume work". Do NOT use for architecture decomposition analysis (use architecture skills) or technical design docs (use create-technical-design-doc).
development
Generative Engine Optimization (GEO) specialist — the technical, on-page publishing work that makes a given page or site discoverable, understandable, trustworthy, quotable, and fresh for AI answer engines (Google AI Overviews, ChatGPT Search, Bing Copilot, Perplexity). Use when asked to 'optimize this page/site for GEO', 'optimize for AI search / answer engines', 'get my page cited by ChatGPT/Perplexity', 'improve AI visibility/citability', 'write an llms.txt', 'add citation-ready structure or schema for AI answers', 'otimizar para busca com IA', or to audit/create/improve a codebase for generative search. Do NOT use for AI-driven SEO content strategy or programmatic pages at scale (use ai-seo), classic keyword/SERP ranking (use seo), accessibility (use web-accessibility), or multi-area site audits (use web-quality-audit).