domain-driven-design▌
yonatangross/orchestkit · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Model complex business domains with entities, value objects, and bounded contexts.
Domain-Driven Design Tactical Patterns
Model complex business domains with entities, value objects, and bounded contexts.
Overview
- Modeling complex business logic
- Separating domain from infrastructure
- Establishing clear boundaries between subdomains
- Building rich domain models with behavior
- Implementing ubiquitous language in code
Building Blocks Overview
┌─────────────────────────────────────────────────────────────┐
│ DDD Building Blocks │
├─────────────────────────────────────────────────────────────┤
│ ENTITIES VALUE OBJECTS AGGREGATES │
│ Order (has ID) Money (no ID) [Order]→Items │
│ │
│ DOMAIN SERVICES REPOSITORIES DOMAIN EVENTS │
│ PricingService IOrderRepository OrderSubmitted │
│ │
│ FACTORIES SPECIFICATIONS MODULES │
│ OrderFactory OverdueOrderSpec orders/, payments/ │
└─────────────────────────────────────────────────────────────┘
Quick Reference
Entity (Has Identity)
from dataclasses import dataclass, field
from uuid import UUID
from uuid_utils import uuid7
@dataclass
class Order:
"""Entity: Has identity, mutable state, lifecycle."""
id: UUID = field(default_factory=uuid7)
customer_id: UUID = field(default=None)
status: str = "draft"
def __eq__(self, other: object) -> bool:
if not isinstance(other, Order):
return NotImplemented
return self.id == other.id # Identity equality
def __hash__(self) -> int:
return hash(self.id)
Load Read("${CLAUDE_SKILL_DIR}/references/entities-value-objects.md") for complete patterns.
Value Object (Immutable)
from dataclasses import dataclass
from decimal import Decimal
@dataclass(frozen=True) # MUST be frozen!
class Money:
"""Value Object: Defined by attributes, not identity."""
amount: Decimal
currency: str
def __add__(self, other: "Money") -> "Money":
if self.currency != other.currency:
raise ValueError("Cannot add different currencies")
return Money(self.amount + other.amount, self.currency)
Load Read("${CLAUDE_SKILL_DIR}/references/entities-value-objects.md") for Address, DateRange examples.
Key Decisions
| Decision | Recommendation |
|---|---|
| Entity vs VO | Has unique ID + lifecycle? Entity. Otherwise VO |
| Entity equality | By ID, not attributes |
| Value object mutability | Always immutable (frozen=True) |
| Repository scope | One per aggregate root |
| Domain events | Collect in entity, publish after persist |
| Context boundaries | By business capability, not technical |
Rules Quick Reference
| Rule | Impact | What It Covers |
|---|---|---|
aggregate-boundaries (load ${CLAUDE_SKILL_DIR}/rules/aggregate-boundaries.md) |
HIGH | Aggregate root design, reference by ID, one-per-transaction |
aggregate-invariants (load ${CLAUDE_SKILL_DIR}/rules/aggregate-invariants.md) |
HIGH | Business rule enforcement, specification pattern |
aggregate-sizing (load ${CLAUDE_SKILL_DIR}/rules/aggregate-sizing.md) |
HIGH | Right-sizing, when to split, eventual consistency |
When NOT to Use
Under 5 entities? Skip DDD entirely. The ceremony costs more than the benefit.
| Pattern | Interview | Hackathon | MVP | Growth | Enterprise | Simpler Alternative |
|---|---|---|---|---|---|---|
| Aggregates | OVERKILL | OVERKILL | OVERKILL | SELECTIVE | APPROPRIATE | Plain dataclasses with validation |
| Bounded contexts | OVERKILL | OVERKILL | OVERKILL | BORDERLINE | APPROPRIATE | Python packages with clear imports |
| CQRS | OVERKILL | OVERKILL | OVERKILL | OVERKILL | WHEN JUSTIFIED | Single model for read/write |
| Value objects | OVERKILL | OVERKILL | BORDERLINE | APPROPRIATE | REQUIRED | Typed fields on the entity |
| Domain events | OVERKILL | OVERKILL | OVERKILL | SELECTIVE | APPROPRIATE | Direct method calls between services |
| Repository pattern | OVERKILL | OVERKILL | BORDERLINE | APPROPRIATE | REQUIRED | Direct ORM queries in service layer |
Rule of thumb: DDD adds ~40% code overhead. Only worth it when domain complexity genuinely demands it (5+ entities with invariants spanning multiple objects). A CRUD app with DDD is a red flag.
Anti-Patterns (FORBIDDEN)
# NEVER have anemic domain models (data-only classes)
@dataclass
class Order:
id: UUID
items: list # WRONG - no behavior!
# NEVER leak infrastructure into domain
class Order:
def save(self, session: Session): # WRONG - knows about DB!
# NEVER use mutable value objects
@dataclass # WRONG - missing frozen=True
class Money:
amount: Decimal
# NEVER have repositories return ORM models
async def get(self, id: UUID) -> OrderModel: # WRONG - return domain!
Related Skills
aggregate-patterns- Deep dive on aggregate designork:distributed-systems- Cross-aggregate coordinationork:database-patterns- Schema design for DDD
References
Load on demand with Read("${CLAUDE_SKILL_DIR}/references/<file>"):
| File | Content |
|---|---|
entities-value-objects.md |
Full entity and value object patterns |
repositories.md |
Repository pattern implementation |
domain-events.md |
Event collection and publishing |
bounded-contexts.md |
Context mapping and ACL |
Capability Details
entities
Keywords: entity, identity, lifecycle, mutable, domain object Solves: Model entities in Python, identity equality, adding behavior
value-objects
Keywords: value object, immutable, frozen, dataclass, structural equality Solves: Create immutable value objects, when to use VO vs entity
domain-services
Keywords: domain service, business logic, cross-aggregate, stateless Solves: When to use domain service, logic spanning aggregates
repositories
Keywords: repository, persistence, collection, IRepository, protocol Solves: Implement repository pattern, abstract DB access, ORM mapping
bounded-contexts
Keywords: bounded context, context map, ACL, subdomain, ubiquitous language Solves: Define bounded contexts, integrate with ACL, context relationships
How to use domain-driven-design 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-driven-design
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches domain-driven-design from GitHub repository yonatangross/orchestkit 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-driven-design. Access the skill through slash commands (e.g., /domain-driven-design) 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
4.7★★★★★25 reviews- ★★★★★James Brown· Dec 20, 2024
Useful defaults in domain-driven-design — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Michael Gill· Dec 16, 2024
Keeps context tight: domain-driven-design is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Chaitanya Patil· Dec 8, 2024
domain-driven-design is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Piyush G· Nov 27, 2024
Useful defaults in domain-driven-design — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Rahul Santra· Nov 19, 2024
Keeps context tight: domain-driven-design is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Nikhil Patel· Nov 11, 2024
domain-driven-design is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Shikha Mishra· Oct 18, 2024
Registry listing for domain-driven-design matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Pratham Ware· Oct 10, 2024
We added domain-driven-design from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Henry Garcia· Oct 2, 2024
domain-driven-design reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Yash Thakker· Sep 25, 2024
Solid pick for teams standardizing on skills: domain-driven-design is focused, and the summary matches what you get after install.
showing 1-10 of 25