domain-driven-design

yonatangross/orchestkit · updated Apr 8, 2026

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$npx skills add https://github.com/yonatangross/orchestkit --skill domain-driven-design
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summary

Model complex business domains with entities, value objects, and bounded contexts.

skill.md

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 design
  • ork:distributed-systems - Cross-aggregate coordination
  • ork: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

How to use domain-driven-design on Cursor

AI-first code editor with Composer

1

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
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/yonatangross/orchestkit --skill domain-driven-design

The skills CLI fetches domain-driven-design from GitHub repository yonatangross/orchestkit and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/domain-driven-design

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

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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. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.725 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.

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