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Book Ddd Distilled Modeling

Community
KunoLu
book-ddd-distilled-modeling

Guides lightweight domain modeling with ubiquitous language, bounded contexts, and subdomain focus. Always run after every completed grill-with-docs session as an independent second-pass boundary review; also use before PRD, design, or implementation when domain ambiguity exists.

Overview

PublisherKunoLu
Repository640-skills
Skill namebook-ddd-distilled-modeling
Stars
550
Forks
13
Bundled files
1
LicenseApache-2.0
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.

  • 1 bundled files

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

  • Open source

    Published by KunoLu on GitHub. Read the source before you install it.

Installation

Install the Book Ddd Distilled Modeling 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.
    https://github.com/KunoLu/640-skills/tree/main/sbtd-workflow-onboard/templates/skills/book-ddd-distilled-modeling
  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.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/KunoLu/640-skills.git /tmp/640-skills
mkdir -p .claude/skills
cp -r /tmp/640-skills/sbtd-workflow-onboard/templates/skills/book-ddd-distilled-modeling .claude/skills/book-ddd-distilled-modeling
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Book Ddd Distilled Modeling 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 Book Ddd Distilled Modeling 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 Book Ddd Distilled Modeling 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.

Book DDD Distilled Modeling

Use this Skill to sharpen domain language before turning a business request into PRD, issues, design, or code.

It is derived from the mini rule style of agent-rules-books and should run after project evidence is read. It complements grill-with-docs, to-spec, and task planning.

Mandatory Post-grill Review

Every fully completed grill-with-docs session MUST be followed immediately by this Skill, whether the Agent initiated that session or the user invoked it explicitly. The domain-modeling activity embedded in grill-with-docs is the active interview-time modeling pass; it does not satisfy or replace this independent second-pass review.

Re-read the completed clarification result and the supporting project facts. Look for boundary errors, hidden term collisions, unsupported invariants, misplaced responsibilities, and unresolved context ownership rather than merely restating the interview.

The review is a gate before requirement confirmation, PRD, design, task creation, or implementation:

  • confirmed: no unresolved boundary issue prevents the workflow from advancing.
  • needs-clarification: output the findings, return to one-question-at-a-time clarification, and rerun this Skill after resolution.
  • blocked: the Skill, required evidence, or relevant context is unavailable; output the exact blocker and do not advance.

Invocation origin, a prior domain-modeling pass, or an Agent judgment that the requirement is already clear MUST NOT skip this gate.

When To Use

  • Every completed grill-with-docs session, without exception.
  • A requirement uses business terms that may mean different things in different parts of the system.
  • A change touches domain rules, permissions, lifecycle, workflow state, billing, identity, tenancy, inventory, orders, subscriptions, or similar concepts.
  • It is unclear whether two concepts belong in the same model or bounded context.
  • A PRD or design needs stable terminology before implementation.

When grill-with-docs was not used, do not use this Skill for purely technical refactors, simple UI copy, mechanical dependency updates, or features with no domain ambiguity.

Workflow

  1. Read existing project facts first: README, domain docs, docs/spec, ADRs, task artifacts, and relevant code.
  2. List the key terms and their current meanings in the project.
  3. Identify bounded contexts where the same word may have different meanings.
  4. Distinguish core, supporting, and generic subdomains when that affects priority or design.
  5. State invariants and business rules in the language used by the project.
  6. Feed the agreed language into prd.md, design.md, or implement.md.

Output

Always output the review visibly and separately from the requirement confirmation summary:

text
DDD Boundary Review
Status: confirmed | needs-clarification | blocked
Ubiquitous language: ...
Bounded contexts: ...
Invariants and business rules: ...
Core / supporting / generic subdomains: ...
Corrections to the grill-with-docs result: ...
Open conflicts and questions: ...

Use not-applicable for a subdomain classification only when it has no bearing on the current decision; do not omit the field. A post-grill review must explicitly state whether it corrected the earlier result, even when the answer is none.

Only stable, cross-task domain decisions should be promoted to docs/CONTEXT.md, ADRs, or docs/spec. Keep the complete review in task-level output or the current prd.md, design.md, or implement.md.

Guardrails

Outside the mandatory post-grill gate, do not force DDD ceremony into small tasks. During the mandatory gate, keep the second pass concise but complete enough to prove the boundaries were independently checked.

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 Book Ddd Distilled Modeling AI skill do?

Guides lightweight domain modeling with ubiquitous language, bounded contexts, and subdomain focus. Always run after every completed grill-with-docs session as an independent second-pass boundary review; also use before PRD, design, or implementation when domain ambiguity exists.

Why use Book Ddd Distilled Modeling on TypingMind?

Because you install it once and use it with any model. Book Ddd Distilled Modeling 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 Book Ddd Distilled Modeling in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/KunoLu/640-skills/tree/main/sbtd-workflow-onboard/templates/skills/book-ddd-distilled-modeling. 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 Book Ddd Distilled Modeling?

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 Book Ddd Distilled Modeling?

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

Is the Book Ddd Distilled Modeling AI skill free?

Yes. It is published on GitHub by KunoLu under the Apache-2.0 license. 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.

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