Ddd Scope logo

Ddd Scope

Organization
ForceInjection
ddd-scope

将模糊需求收敛为可执行的 DDD 建模输入:问题陈述、目标/非目标、约束、术语种子与风险清单。

Overview

PublisherForceInjection
Repositorydomain-driven-design-skills
Skill nameddd-scope
Stars
99
Forks
16
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 ForceInjection on GitHub. Read the source before you install it.

Installation

Install the Ddd Scope 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/ForceInjection/domain-driven-design-skills/tree/main/skills/ddd-scope
  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/ForceInjection/domain-driven-design-skills.git /tmp/domain-driven-design-skills
mkdir -p .claude/skills
cp -r /tmp/domain-driven-design-skills/skills/ddd-scope .claude/skills/ddd-scope
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ddd Scope 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 Ddd Scope 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 Ddd Scope 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.

DDD Scope

🌐 English version: English

使用时机

  • 需求描述模糊,不同角色对问题边界理解不一致。
  • 全新项目启动前,需要锁定建模范围、约束与关键风险。
  • 后续 Skill 报告"业务价值主张不清晰"时,作为回溯目标重新执行。

输入要求

  • 必需:业务目标或问题描述(允许非结构化文本:口述、PRD 片段、工单描述均可)。
  • 可选:当前系统形态、关键参与方、外部系统依赖、已知约束(时间/合规/性能/团队)。

流程

  1. 提取业务意图,形成 1 句问题陈述(描述痛点)和 1 句价值陈述(描述期望结果)。
  2. 明确目标与非目标,建立范围边界——显式声明"不做什么"。
  3. 列出约束与假设,每条标注"可验证 / 不可验证"及验证方式。
  4. 生成术语种子清单:从描述中提取名词、动词、状态词,标注歧义点与所属场景。
  5. 识别风险清单:覆盖业务风险、集成风险、数据一致性风险、交付风险,给出初步缓解建议。
  6. 输出下一步准备清单:进入 ddd-discover 所需的最小信息、参与角色与期望产出。

输出

工件结构要求
问题陈述与价值陈述各 1 句,可被业务方认可
目标 / 非目标列表化,每条包含边界解释
约束与假设表格:约束/假设、可验证性、验证方式
术语种子清单表格:术语、定义候选、歧义点、所属场景
风险清单表格:风险、影响、触发条件、缓解建议
下一步准备清单列表:角色、必要输入、期望产出

校验清单

  • 目标与非目标互斥且可落地执行
  • 约束与假设均已标注验证方式
  • 术语种子 ≥ 10 个,歧义点已标注
  • 风险清单覆盖业务 / 集成 / 一致性 / 交付四类
  • 问题陈述与价值陈述不含技术实现细节

回溯触发

本 Skill 为体系入口,不触发回溯。但以下情况会被下游触发回溯至此:

  • ddd-subdomains 无法区分核心域与支撑域 → 业务价值主张不清晰,需重新收敛 scope。

示例

text
@ddd-scope
业务描述:我们的订单售后流程非常混乱,跨系统协同困难,客户投诉响应慢。
请帮我收敛为 DDD 建模输入:输出问题陈述、目标/非目标、约束与假设、术语种子、风险清单。

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 Ddd Scope AI skill do?

将模糊需求收敛为可执行的 DDD 建模输入:问题陈述、目标/非目标、约束、术语种子与风险清单。

Why use Ddd Scope on TypingMind?

Because you install it once and use it with any model. Ddd Scope 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 Ddd Scope in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ForceInjection/domain-driven-design-skills/tree/main/skills/ddd-scope. 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 Ddd Scope?

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 Ddd Scope?

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

Is the Ddd Scope AI skill free?

Yes. It is published on GitHub by ForceInjection 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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