Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to specs/UBIQUITOUS_LANGUAGE_LATEST.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions \"domain model\" or \"DDD\".
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---
name: define-language
model: sonnet
description: "Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to specs/UBIQUITOUS_LANGUAGE_LATEST.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions \"domain model\" or \"DDD\"."
---
# Define Language
Extract and formalize domain terminology from the current conversation into a consistent glossary, saved to `specs/UBIQUITOUS_LANGUAGE_LATEST.md`.
**Distinct from `model-domain` and `deepen-architecture`:** Use this skill to produce a canonical glossary of terms (words and definitions). Use `model-domain` to stress-test a plan through an interview that resolves domain model decisions. Use `deepen-architecture` to find module-level refactoring opportunities in the codebase.
> **HARD GATE** — Ubiquitous language is NOT optional. Every term in the domain that could be misunderstood must be glossed. Ambiguity = rework.
## 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 `specs/UBIQUITOUS_LANGUAGE_LATEST.md`** in the working directory using the format below
5. **Output a summary** inline in the conversation
## Output Format
Write a `specs/UBIQUITOUS_LANGUAGE_LATEST.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."
## Flagged ambiguities
- "account" was used to mean both **Customer** and **User** — these are distinct concepts.
```
## 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, call it out in "Flagged ambiguities" with a clear recommendation.
- **Only include terms relevant for domain experts.** Skip names of modules or classes unless they have domain meaning.
- **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.
- **Group terms into multiple tables** when natural clusters emerge. One table is fine if terms are cohesive.
- **Write an example dialogue.** 3–5 exchanges between a dev and domain expert showing terms used precisely.
## Re-running
When invoked again in the same conversation:
1. Read the existing `specs/UBIQUITOUS_LANGUAGE_LATEST.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