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Prompts DDD Ubiquitous Language Glossary Extractor

agent analysis skill risk: low

DDD Ubiquitous Language Glossary Extractor

Extract domain terminology from the conversation, identify ambiguities and synonyms, propose canonical terms with definitions and relationships, write the glossary to UBIQUITOUS_LA…

  • External action: low

SKILL 1 file

SKILL.md
---
name: ubiquitous-language
description: "Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to UBIQUITOUS_LANGUAGE.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions \"domain mod"
---
# Ubiquitous Language

Extract and formalize domain terminology from the current conversation into a consistent glossary, saved to a local file.

## Process

1. **Scan the conversation** for domain-relevant nouns, verbs, and concepts
2. **Identify problems**:
   - Same word used for different concepts (ambiguity)
   - Different words used for the same concept (synonyms)
   - Vague or overloaded terms
3. **Propose a canonical glossary** with opinionated term choices
4. **Write to `UBIQUITOUS_LANGUAGE.md`** in the working directory using the format below
5. **Output a summary** inline in the conversation

## Output Format

Write a `UBIQUITOUS_LANGUAGE.md` file with this structure:

```md
# 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.** When multiple words exist for the same concept, pick the best one and list the others as aliases to avoid.
- **Flag conflicts explicitly.** If a term is used ambiguously in the conversation, call it out in the "Flagged ambiguities" section with a clear recommendation.
- **Only include terms relevant for domain experts.** Skip the names of modules or classes unless they have meaning in the domain language.
- **Keep definitions tight.** One sentence max. Define what it IS, not what it does.
- **Show relationships.** Use bold term names and express cardinality where obvious.
- **Only include domain terms.** Skip generic programming concepts (array, function, endpoint) unless they have domain-specific meaning.
- **Group terms into multiple tables** when natural clusters emerge (e.g. by subdomain, lifecycle, or actor). Each group gets its own heading and table. If all terms belong to a single cohesive domain, one table is fine — don't force groupings.
- **Write an example dialogue.** A short conversation (3-5 exchanges) between a dev and a domain expert that demonstrates how the terms interact naturally. The dialogue should clarify boundaries between related concepts and show terms being used precisely.

<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

When invoked again in the same conversation:

1. Read the existing `UBIQUITOUS_LANGUAGE.md`
2. Incorporate any new terms from subsequent discussion
3. Update definitions if understanding has evolved
4. Re-flag any new ambiguities
5. Rewrite the example dialogue to incorporate new terms

REQUIRED CONTEXT

  • the current conversation

ROLES & RULES

  1. Be opinionated.
  2. Flag conflicts explicitly.
  3. Only include terms relevant for domain experts.
  4. Keep definitions tight.
  5. Show relationships.
  6. Only include domain terms.
  7. Group terms into multiple tables when natural clusters emerge.
  8. Write an example dialogue.

EXPECTED OUTPUT

Format
markdown
Schema
markdown_sections · # Ubiquitous Language, ## [Domain cluster] (table), ## Relationships, ## Example dialogue, ## Flagged ambiguities
Constraints
  • use the exact section structure and table format shown
  • include Flagged ambiguities and Example dialogue sections
  • write the full glossary to UBIQUITOUS_LANGUAGE.md
  • also output a short inline summary

SUCCESS CRITERIA

  • Pick the best term and list others as aliases to avoid.
  • Call out ambiguous terms with clear recommendations.
  • Define what each term IS in one sentence.
  • Express cardinality in relationships.
  • Rewrite example dialogue on re-run to incorporate new terms.

EXAMPLES

Includes one example dialogue demonstrating precise term usage between Dev and Domain expert.

CAVEATS

Dependencies
  • current conversation
  • existing UBIQUITOUS_LANGUAGE.md when re-running
Ambiguities
  • Initial YAML description is truncated at "domain mod"

QUALITY

OVERALL
0.85
CLARITY
0.85
SPECIFICITY
0.90
REUSABILITY
0.80
COMPLETENESS
0.85

IMPROVEMENT SUGGESTIONS

  • Add explicit instruction for creating UBIQUITOUS_LANGUAGE.md when the file does not yet exist on first run

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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