Tactical Ddd logo

Tactical Ddd

OrganizationPopular
tech-leads-club
tactical-ddd

Detects anemic domain models, validates and refactors them into rich domain models, and enforces tactical DDD patterns (Entities, Value Objects, Aggregates, Domain Services, Domain Events). Use when the user asks to validate, review, or check domain models or DDD code; detect anemia; refactor domain objects; improve encapsulation; or mentions terms like "anemic model", "rich domain", "aggregate", "value object", "domain event", "ubiquitous language", "is this good DDD", "does this follow DDD", or "check my domain". Do NOT use for module or service boundary design, architectural decomposition, strategic DDD context mapping, or code outside the domain layer (DTOs, controllers, infrastructure adapters).

Overview

Publishertech-leads-club
Repositoryagent-skills
Skill nametactical-ddd
Stars
6.3K
Forks
530
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by tech-leads-club on GitHub. Read the source before you install it.

Installation

Install the Tactical Ddd AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable Tactical Ddd in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tactical Ddd on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tactical Ddd is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Tactical DDD — Rich Domain Modeling

Workflow

Determine the user's intent first:

IntentPhases to run
"validate / review / check / is this correct?"Phase 1 + 2 only → report findings, ask before refactoring
"fix / refactor / improve / clean up"Phase 1 + 2 + 3
"how should I design / model this?"Load reference.md directly

Phase 1 — Detect

Load detection.md and scan the target code for anemia signals. Produce a severity score and list of affected classes.

Phase 2 — Assess

For each affected class, determine the correct building block:

Has unique identity tracked over time?Has invariants tying multiple objects?→ Building Block
YesEntity
NoValue Object
Yes (root) + children with shared invariantsYesAggregate
Operation spans multiple Aggregates/doesn't belong to anyDomain Service

Prefer Value Objects over Entities. Prefer small Aggregates over large ones.

If intent was validate/review: stop here. Report findings using the output format below. Ask "Would you like me to apply these fixes?" before proceeding.

Phase 3 — Refactor

Load refactoring.md for step-by-step moves. Apply in this order:

  1. Replace setter chains with a single expressive method
  2. Move service logic into the Aggregate that owns it
  3. Add business guards at the top of each method
  4. Publish a Domain Event after each successful state change
  5. Replace primitive types with Value Objects

For deep pattern questions (boundary design, event modeling, service vs. entity decision), load reference.md.


Quick Anemia Signals (scan first)

public setX() / public setY()        → behaviour should be encapsulated
service.doX(entity, ...)              → logic likely belongs in entity
entity.setA(); entity.setB(); ...     → setter chain = missing intent method
no domain methods beyond getters      → pure data bag

Golden Rules

  1. Behaviour with data — Objects own both state and the operations that change it
  2. Ubiquitous Language — Method names come from the domain, not CRUD (commitTo, not setStatus)
  3. Small Aggregates — Root + Value Objects by default; add child Entities only for true invariants
  4. One transaction = one Aggregate — Cross-Aggregate rules use eventual consistency via Domain Events
  5. Reference by ID — Never hold object references to other Aggregates
  6. Value Objects first — Use Entities only when individual identity is essential
  7. Domain Services sparingly — Excessive services → anemic model
  8. Protect invariants — The Aggregate is the last line of defence; never trust the caller

Output Format

When reviewing code, report:

## Anemia Diagnosis: <ClassName>

Severity: [None | Mild | Moderate | Severe]

Issues:
- <description of problem>

Recommended refactoring:
- <specific move from refactoring.md>

When refactoring, show a before/after diff for each class touched.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Tactical Ddd AI skill do?

Detects anemic domain models, validates and refactors them into rich domain models, and enforces tactical DDD patterns (Entities, Value Objects, Aggregates, Domain Services, Domain Events). Use when the user asks to validate, review, or check domain models or DDD code; detect anemia; refactor domain objects; improve encapsulation; or mentions terms like "anemic model", "rich domain", "aggregate", "value object", "domain event", "ubiquitous language", "is this good DDD", "does this follow DDD", or "check my domain". Do NOT use for module or service boundary design, architectural decompositio...

Why use Tactical Ddd on TypingMind?

Because you install it once and use it with any model. Tactical Ddd is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tactical Ddd in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(architecture)/tactical-ddd. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Tactical Ddd?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tactical Ddd?

As many as you like. As long as a model supports skills, you can use Tactical Ddd with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tactical Ddd AI skill free?

It is published on GitHub by tech-leads-club. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇