Ddd Discover logo

Ddd Discover

Organization
ForceInjection
ddd-discover

协作式领域发现:通过事件风暴或领域故事讲述,产出事件流、命令/事件候选、热点与歧义清单。

Overview

PublisherForceInjection
Repositorydomain-driven-design-skills
Skill nameddd-discover
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 Discover 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-discover
  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-discover .claude/skills/ddd-discover
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ddd Discover 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 Discover 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 Discover 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 Discover

🌐 English version: English

使用时机

  • 需要快速对齐核心业务流程与领域边界线索。
  • 需求已明确(来自 ddd-scope 或用户直接提供),需要探索领域内部发生了什么。
  • ddd-contexts 报告"术语冲突不可调和"时,作为回溯目标重新执行。

输入要求

  • 必需:业务场景描述(用户故事、PRD、工单、或 ddd-scope 的输出均可)。
  • 可选:关键参与方与外部系统、业务约束与非目标(来自 ddd-scope)。

流程

  1. 列举事件:以"已发生的事实"为视角,用过去时命名领域事件(如 OrderPlaced, PaymentReceived)。
  2. 补全命令:为每个事件补充触发它的命令、发起者、关键输入数据。
  3. 排列时序:将事件按时间线组织,识别分支、回滚、异常路径(至少覆盖 1 条主路径 + 2 条异常路径)。
  4. 标注热点:标记高频事件、强一致性点、跨系统边界、性能敏感点、合规检查点。
  5. 生成歧义清单:记录术语冲突、状态不明确、职责归属模糊的问题,标注"谁必须确认"。
  6. 输出边界线索:从事件聚类与热点分布中提取初步的能力分组与上下文边界候选。

输出

工件结构要求
事件流表表格:序号、事件名(过去时)、触发命令、参与者、输入/输出、异常分支
命令候选清单表格:命令、发起者、期望结果、幂等性要求
事件候选清单表格:事件、关键字段、是否跨上下文、是否对外发布
热点标注列表:一致性热点、集成热点、性能热点、合规热点
歧义清单表格:歧义点、影响范围、需确认方、建议决策
边界线索列表:初步能力分组与潜在上下文边界

校验清单

  • 事件使用过去时命名,业务可理解
  • 至少覆盖 1 条主路径 + 2 条异常/回滚路径
  • 热点中明确标注了跨系统边界与强一致性点
  • 歧义清单中每条都标注了"谁必须确认"
  • 边界线索可被 ddd-subdomains 直接消费

回溯触发

  • 本 Skill 被 ddd-contexts 触发回溯:当 > 5 个术语存在不可调和的跨上下文冲突时,说明领域理解不足,需重新发现。

示例

text
@ddd-discover
基于以下 scope 输出,帮我做领域发现:
- 问题:订单售后流程混乱
- 目标:支持退款、换货、投诉处理
- 非目标:不涉及正向下单流程
请输出事件流表、命令/事件候选、热点标注与歧义清单。

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 Discover AI skill do?

协作式领域发现:通过事件风暴或领域故事讲述,产出事件流、命令/事件候选、热点与歧义清单。

Why use Ddd Discover on TypingMind?

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

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

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 Discover?

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

Is the Ddd Discover 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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