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Domain Driven Design

Checked
wondelai·vlatest·backend·MIT

Analyzes requirements & generates domain models, entities, and relationships using DDD principles for software design.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add wondelai/skills --skill domain-driven-design -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

wondelai

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned wondelai/skills at c172996495.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
c172996495
Manifest
domain-driven-design/SKILL.md
Scanned
21 files, 4,956 lines
Copies in repo
3 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill helps AI agents analyze requirements and generate domain models, entities, and relationships using Domain-Driven Design (DDD) principles for software design. It focuses on aligning code with a deep understanding of the business domain by establishing a shared language between developers and domain experts. The core principle is that the model is the code, and vice versa, ensuring complexity is manageable and requirements are captured precisely.

When to use it

  • When designing software where a close alignment with business processes is critical.
  • During code reviews to ensure adherence to DDD principles, particularly regarding naming conventions.
  • To evaluate existing domain models and suggest improvements based on DDD guidelines (scoring them 0-10).

Key capabilities

  • Ubiquitous Language Enforcement: Helps identify and correct instances where technical jargon replaces domain terminology in code.
  • Naming Guidance: Provides recommendations for class, method, event, and module names that reflect the business domain.
  • Domain Model Scoring: Evaluates existing models on a scale of 0-10 based on DDD principles, suggesting improvements to reach a score of 10/10.
  • Bounded Context Awareness: Recognizes that terms can have different meanings in different contexts and helps manage those differences.

Example prompts

  • "Analyze this requirement: 'Customers should be able to submit orders.' Suggest class names reflecting the domain."
  • "Review this code snippet for adherence to DDD principles, focusing on naming conventions. Provide a score (0-10) and suggestions for improvement."
  • "What are some examples of how the term ‘Customer’ might have different meanings in different bounded contexts?"

Tips & gotchas

  • The skill relies heavily on collaboration with domain experts to establish an accurate ubiquitous language.
  • Naming difficulty can be a signal that the model is incorrect, prompting further investigation and refinement.
  • Be aware of potential differences in terminology across bounded contexts—this is expected and needs careful management.