m09-domain

zhanghandong/rust-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/zhanghandong/rust-skills --skill m09-domain
0 commentsdiscussion
summary

Domain-driven design patterns for modeling entities, value objects, and aggregates in Rust.

  • Distinguishes between Entities (unique identity required), Value Objects (interchangeable by value), and Aggregates (owned hierarchies), with clear Rust patterns for each
  • Emphasizes invariant preservation through private fields, validated constructors, and type-state patterns
  • Provides templates for common DDD structures: newtypes for value objects, structs with ID fields for entities, and modu
skill.md

Domain Modeling

Layer 2: Design Choices

Core Question

What is this concept's role in the domain?

Before modeling in code, understand:

  • Is it an Entity (identity matters) or Value Object (interchangeable)?
  • What invariants must be maintained?
  • Where are the aggregate boundaries?

Domain Concept → Rust Pattern

Domain Concept Rust Pattern Ownership Implication
Entity struct + Id Owned, unique identity
Value Object struct + Clone/Copy Shareable, immutable
Aggregate Root struct owns children Clear ownership tree
Repository trait Abstracts persistence
Domain Event enum Captures state changes
Service impl block / free fn Stateless operations

Thinking Prompt

Before creating a domain type:

  1. What's the concept's identity?

    • Needs unique identity → Entity (Id field)
    • Interchangeable by value → Value Object (Clone/Copy)
  2. What invariants must hold?

    • Always valid → private fields + validated constructor
    • Transition rules → type state pattern
  3. Who owns this data?

    • Single owner (parent) → owned field
    • Shared reference → Arc/Rc
    • Weak reference → Weak

Trace Up ↑

To domain constraints (Layer 3):

"How should I model a Transaction?"
    ↑ Ask: What domain rules govern transactions?
    ↑ Check: domain-fintech (audit, precision requirements)
    ↑ Check: Business stakeholders (what invariants?)
Design Question Trace To Ask
Entity vs Value Object domain-* What makes two instances "the same"?
Aggregate boundaries domain-* What must be consistent together?
Validation rules domain-* What business rules apply?

Trace Down ↓

To implementation (Layer 1):

"Model as Entity"
    ↓ m01-ownership: Owned, unique
    ↓ m05-type-driven: Newtype for Id

"Model as Value Object"
    ↓ m01-ownership: Clone/Copy OK
    ↓ m05-type-driven: Validate at construction

"Model as Aggregate"
    ↓ m01-ownership: Parent owns children
    ↓ m02-resource: Consider Rc for shared within aggregate

Quick Reference

DDD Concept Rust Pattern Example
Value Object Newtype struct Email(String);
Entity Struct + ID struct User { id: UserId, ... }
Aggregate Module boundary mod order { ... }
Repository Trait trait UserRepo { fn find(...) }
Domain Event Enum enum OrderEvent { Created, ... }

Pattern Templates

Value Object

struct Email(String);

impl Email {
    pub fn new(s: &str) -> Result<Self, ValidationError> {
        validate_email(s)?;
        Ok(Self(s.to_string()))
    }
}

Entity

struct UserId(Uuid);

struct User {
    id: UserId,
    email: Email,
    // ... other fields
}

impl PartialEq for User {
    fn eq(&self, other: &Self) -> bool {
        self.id == other.id  // Identity equality
    }
}

Aggregate

mod order {
    pub struct Order {
        id: OrderId,
        items: Vec<OrderItem>,  // Owned children
        // ...
    }

    impl Order {
        pub fn add_item(&mut self, item: OrderItem) {
            // Enforce aggregate invariants
        }
    }
}

Common Mistakes

Mistake Why Wrong Better
Primitive obsession No type safety Newtype wrappers
Public fields with invariants Invariants violated Private + accessor
Leaked aggregate internals Broken encapsulation Methods on root
String for semantic types No validation Validated newtype

Related Skills

When See
Type-driven implementation m05-type-driven
Ownership for aggregates m01-ownership
Domain error handling m13-domain-error
Specific domain rules domain-*
how to use m09-domain

How to use m09-domain 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 m09-domain
2

Execute installation command

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

$npx skills add https://github.com/zhanghandong/rust-skills --skill m09-domain

The skills CLI fetches m09-domain from GitHub repository zhanghandong/rust-skills 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/m09-domain

Reload or restart Cursor to activate m09-domain. Access the skill through slash commands (e.g., /m09-domain) 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

GET_STARTED →

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)
  • No comments yet — start the thread.
general reviews

Ratings

4.636 reviews
  • Evelyn Martinez· Dec 24, 2024

    We added m09-domain from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Amina Taylor· Dec 16, 2024

    m09-domain fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Noah Yang· Nov 15, 2024

    m09-domain reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Mateo Kapoor· Nov 7, 2024

    Registry listing for m09-domain matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Aditi Taylor· Oct 26, 2024

    m09-domain reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Olivia Liu· Oct 6, 2024

    Registry listing for m09-domain matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Piyush G· Sep 25, 2024

    m09-domain has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Olivia Nasser· Sep 21, 2024

    m09-domain reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Oshnikdeep· Sep 17, 2024

    I recommend m09-domain for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yuki Sethi· Sep 17, 2024

    Solid pick for teams standardizing on skills: m09-domain is focused, and the summary matches what you get after install.

showing 1-10 of 36

1 / 4