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ubiquitous-language

vinvcn/mattpocock-skills-zh-cn

How to install ubiquitous-language

npx skills add https://github.com/vinvcn/mattpocock-skills-zh-cn --skill ubiquitous-language
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Full instructions (SKILL.md)

Source of truth, from vinvcn/mattpocock-skills-zh-cn.


name: ubiquitous-language description: 从当前 conversation 提取 DDD-style ubiquitous language glossary,标记 ambiguities 并提出 canonical terms。保存到 UBIQUITOUS_LANGUAGE.md。Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions "domain model" or "DDD". disable-model-invocation: true

Ubiquitous Language

从当前 conversation 中提取并形式化 domain terminology,整理成一致 glossary,并保存到本地文件。

Process

  1. Scan the conversation,寻找 domain-relevant nouns、verbs 和 concepts
  2. Identify problems
    • 同一个词被用于不同 concepts(ambiguity)
    • 不同词被用于同一个 concept(synonyms)
    • 模糊或 overloaded terms
  3. Propose a canonical glossary,对 term 选择保持 opinionated
  4. Write to UBIQUITOUS_LANGUAGE.md,在 working directory 中使用下面格式
  5. Output a summary,在 conversation 中内联总结

Output Format

写一个 UBIQUITOUS_LANGUAGE.md 文件,结构如下:

# Ubiquitous Language

## Order lifecycle

| Term        | Definition                                              | Aliases to avoid      |
| ----------- | ------------------------------------------------------- | --------------------- |
| **Order**   | A customer's request to purchase one or more items      | Purchase, transaction |
| **Invoice** | A request for payment sent to a customer after delivery | Bill, payment request |

## People

| Term         | Definition                                  | Aliases to avoid       |
| ------------ | ------------------------------------------- | ---------------------- |
| **Customer** | A person or organization that places orders | Client, buyer, account |
| **User**     | An authentication identity in the system    | Login, account         |

## Relationships

- An **Invoice** belongs to exactly one **Customer**
- An **Order** produces one or more **Invoices**

## Example dialogue

> **Dev:** "When a **Customer** places an **Order**, do we create the **Invoice** immediately?"
> **Domain expert:** "No — an **Invoice** is only generated once a **Fulfillment** is confirmed. A single **Order** can produce multiple **Invoices** if items ship in separate **Shipments**."
> **Dev:** "So if a **Shipment** is cancelled before dispatch, no **Invoice** exists for it?"
> **Domain expert:** "Exactly. The **Invoice** lifecycle is tied to the **Fulfillment**, not the **Order**."

## Flagged ambiguities

- "account" was used to mean both **Customer** and **User** — these are distinct concepts: a **Customer** places orders, while a **User** is an authentication identity that may or may not represent a **Customer**.

Rules

  • Be opinionated. 同一概念有多个词时,选择最好的一个,并把其他列为 aliases to avoid。
  • Flag conflicts explicitly. 如果 term 在 conversation 中被模糊使用,在 "Flagged ambiguities" section 中指出,并给出明确 recommendation。
  • Only include terms relevant for domain experts. 除非 module 或 class 名在 domain language 中有意义,否则跳过。
  • Keep definitions tight. 最多一句。定义它是什么,不定义它做什么。
  • Show relationships. 使用粗体 term names,并在明显时表达 cardinality。
  • Only include domain terms. 跳过 generic programming concepts(array、function、endpoint),除非它们有 domain-specific meaning。
  • Group terms into multiple tables,当自然 clusters 出现时使用(例如按 subdomain、lifecycle 或 actor)。每组有自己的 heading 和 table。如果所有 terms 属于一个 cohesive domain,一个 table 就够,不要强行分组。
  • Write an example dialogue. 写一段 dev 与 domain expert 之间的短对话(3-5 exchanges),展示 terms 如何自然互动。对话应澄清相关 concepts 的边界,并展示精确使用 terms。
<example>

Example dialogue

Dev: "How do I test the sync service without Docker?"

Domain expert: "Provide the filesystem layer instead of the Docker layer. It implements the same Sandbox service interface but uses a local directory as the sandbox."

Dev: "So sync-in still creates a bundle and unpacks it?"

Domain expert: "Exactly. The sync service doesn't know which layer it's talking to. It calls exec and copyIn — the filesystem layer just runs those as local shell commands."

</example>

Re-running

在同一 conversation 中再次调用时:

  1. 读取已有 UBIQUITOUS_LANGUAGE.md
  2. 合并后续讨论中的新 terms
  3. 如果理解演进,更新 definitions
  4. 重新标记任何新 ambiguities
  5. 重写 example dialogue 以纳入新 terms

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