domain-analysis▌
tech-leads-club/agent-skills · updated May 23, 2026
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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).
| name | domain-analysis |
| description | 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). |
Subdomain Identification & Bounded Context Analysis
This skill analyzes codebases to identify subdomains (Core, Supporting, Generic) and suggest bounded contexts following Domain-Driven Design Strategic Design principles.
When to Use
Apply this skill when:
- Analyzing domain boundaries in any codebase
- Identifying Core, Supporting, and Generic subdomains
- Mapping bounded contexts from problem space to solution space
- Assessing domain cohesion and detecting coupling issues
- Planning domain-driven refactoring
- Understanding business capabilities in code
Core Principles
Subdomain Classification
Core Domain: Competitive advantage, highest business value, requires best developers
- Indicators: Complex business logic, frequent changes, domain experts needed
Supporting Subdomain: Essential but not differentiating, business-specific
- Indicators: Supports Core Domain, moderate complexity, business-specific rules
Generic Subdomain: Common functionality, could be outsourced
- Indicators: Well-understood problem, low differentiation, standard functionality
Bounded Context
An explicit linguistic boundary where domain terms have specific, unambiguous meanings.
- Primary nature: Linguistic boundary, not technical
- Key rule: Inside boundary, all Ubiquitous Language terms are unambiguous
- Goal: Align 1 subdomain to 1 bounded context (ideal)
Analysis Process
Phase 1: Extract Concepts
Scan codebase for business concepts (not infrastructure):
-
Entities (domain models with identity)
- Patterns:
@Entity,class, domain models - Focus: Business concepts, not technical classes
- Patterns:
-
Services (business operations)
- Patterns:
*Service,*Manager,*Handler - Focus: Business logic, not technical utilities
- Patterns:
-
Use Cases (business workflows)
- Patterns:
*UseCase,*Command,*Handler - Focus: Business processes, not CRUD
- Patterns:
-
Controllers/Resolvers (entry points)
- Patterns:
*Controller,*Resolver, API endpoints - Focus: Business capabilities, not technical routes
- Patterns:
Phase 2: Group by Ubiquitous Language
For each concept, determine:
Primary Language Context
- What business vocabulary does this belong to?
- Examples:
Subscription,Invoice,Payment→ Billing languageMovie,Video,Episode→ Content languageUser,Authentication→ Identity language
Linguistic Boundaries
- Where do term meanings change?
- Same term, different meaning = different bounded context
- Example: "Customer" in Sales vs "Customer" in Support
Concept Relationships
- Which concepts naturally belong together?
- Which share business vocabulary?
- Which reference each other?
Phase 3: Identify Subdomains
A subdomain has:
- Distinct business capability
- Independent business value
- Unique vocabulary
- Multiple related entities working together
- Cohesive set of business operations
Common Domain Patterns:
- Billing/Subscription: Payments, invoices, plans
- Content/Catalog: Media, products, inventory
- Identity/Access: Users, authentication, authorization
- Analytics: Metrics, dashboards, insights
- Notifications: Messages, alerts, communications
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
Phase 4: Assess Cohesion
High Cohesion Indicators ✅
- Concepts share Ubiquitous Language
- Concepts frequently used together
- Direct business relationships
- Changes to one affect others in group
- Solve same business problem
Low Cohesion Indicators ❌
- Different business vocabularies mixed
- Concepts rarely used together
- No direct business relationship
- Changes don't affect others
- Solve different business problems
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 ❌
Phase 5: Detect Low Cohesion Issues
Rule 1: Linguistic Mismatch
- Problem: Different business vocabularies mixed
- Example:
User(identity) +Subscription(billing) in same service - Action: Suggest separation into different bounded contexts
Rule 2: Cross-Domain Dependencies
- Problem: Tight coupling between domains
- Example: Service A directly instantiates entities from Domain B
- Action: Suggest interface-based integration
Rule 3: Mixed Responsibilities
- Problem: Single class handles multiple business concerns
- Example: Service handling both billing and content
- Action: Suggest splitting by subdomain
Rule 4: Generic in Core
- Problem: Generic functionality in core business logic
- Example: Email sending in billing service
- Action: Extract to Generic Subdomain
Rule 5: Unclear Boundaries
- Problem: Cannot determine which domain concept belongs to
- Example: Entity with relationships to multiple domains
- Action: Clarify boundaries, possibly split concept
Phase 6: Map Bounded Contexts
For each subdomain identified, suggest bounded context:
Bounded Context Characteristics:
- Name reflects Ubiquitous Language
- Contains complete domain model
- Has explicit integration points
- Clear linguistic boundary
Integration Patterns:
- Shared Kernel: Shared model between contexts (use sparingly)
- Customer/Supplier: Downstream depends on upstream
- Conformist: Downstream conforms to upstream
- Anti-corruption Layer: Translation layer between contexts
- Open Host Service: Published interface for integration
- Published Language: Well-documented integration protocol
Output Format
Domain Map
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
Cohesion Matrix
## 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 |
Low Cohesion Report
## 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}
Bounded Context Map
## 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
Best Practices
Do's ✅
- Focus on business language, not code structure
- Let Ubiquitous Language guide boundaries
- Measure cohesion objectively
- Identify clear integration points
- Classify every subdomain (Core/Supporting/Generic)
- Look for linguistic boundaries first
Don'ts ❌
- Don't group by technical layers
- Don't force single global model
- Don't ignore linguistic differences
- Don't couple domains directly
- Don't create contexts by architecture
- Don't eliminate all dependencies (some are necessary)
Analysis Checklist
For Each Concept:
- What business language does it belong to?
- What domain/subdomain is it part of?
- Is it Core, Supporting, or Generic?
- What other concepts does it relate to?
- Are dependencies within same domain?
- Any linguistic mismatches?
For Each Domain:
- What is the Ubiquitous Language?
- What are the key concepts?
- What are the subdomains?
- Which is the Core Domain?
- What are cross-domain dependencies?
- Is internal cohesion high?
- Are boundaries clear?
For Cohesion Analysis:
- Calculate cohesion scores
- Identify low cohesion areas
- Map cross-domain dependencies
- Flag linguistic mismatches
- Note tight coupling
- Suggest boundary clarifications
Quick Reference
Subdomain Decision Tree
Analyze business capability
└─ Is it competitive advantage?
├─ YES → Core Domain
└─ NO → Is it business-specific?
├─ YES → Supporting Subdomain
└─ NO → Generic Subdomain
Cohesion Quick Check
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
Bounded Context Signals
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
Anti-Patterns to Avoid
Big Ball of Mud
- Everything connected to everything
- No clear boundaries
- Mixed vocabularies
- Prevention: Explicit bounded contexts
All-Inclusive Model
- Single model for entire business
- Impossible global definitions
- Creates conflicts
- Prevention: Embrace multiple contexts
Mixed Linguistic Concepts
- Different vocabularies in same context
- Example: User/Permission with Forum/Post
- Prevention: Keep linguistic associations
Notes
- This is strategic analysis, not tactical implementation
- Focus on WHAT domains exist, not HOW to implement
- Some cross-domain dependencies are normal
- Low cohesion doesn't always mean "bad," it means "needs attention"
- Generic Subdomains naturally have lower cohesion
- Always validate with domain experts when possible
Validation Criteria
Good domain identification has:
- ✅ Clear boundaries with distinct Ubiquitous Language
- ✅ High internal cohesion within domains
- ✅ Explicit cross-domain dependencies
- ✅ Business alignment with capabilities
- ✅ Actionable recommendations for issues
How to use domain-analysis on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add domain-analysis
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches domain-analysis from GitHub repository tech-leads-club/agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate domain-analysis. Access the skill through slash commands (e.g., /domain-analysis) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★27 reviews- ★★★★★Sakshi Patil· Nov 23, 2024
domain-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Chaitanya Patil· Oct 14, 2024
I recommend domain-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Rahul Santra· Sep 21, 2024
Keeps context tight: domain-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Arya Jain· Sep 13, 2024
Solid pick for teams standardizing on skills: domain-analysis is focused, and the summary matches what you get after install.
- ★★★★★Piyush G· Sep 5, 2024
Useful defaults in domain-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Maya Shah· Sep 1, 2024
I recommend domain-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Shikha Mishra· Aug 24, 2024
domain-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Kiara Ndlovu· Aug 20, 2024
domain-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Pratham Ware· Aug 12, 2024
domain-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Naina Li· Aug 4, 2024
We added domain-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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