ubiquitous-language

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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 model" or "DDD".

AI & Automation 485 stars 58 forks Updated today MIT

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Skill Content

# 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 | ## Re...

Details

Author
stevesolun
Repository
stevesolun/ctx
Created
2 months ago
Last Updated
today
Language
Python
License
MIT

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