What problem does it solve? Conversations about a domain often use inconsistent terminology — the same concept gets multiple names, or one word means different things. This Skill scans the current conversation, detects ambiguities and synonyms, and produces a canonical glossary saved to UBIQUITOUS_LANGUAGE.md. ## Core Features & Use Cases - Term Extraction: Scans the conversation for domain-relevant nouns, verbs, and concepts and proposes canonical terms with aliases to avoid. - Ambiguity Detection: Flags words used for multiple concepts and synonyms used for the same concept, with explicit recommendations. - Structured Glossary Output: Writes grouped term tables, relationship statements, a dev/domain-expert example dialogue, and a flagged-ambiguities section to UBIQUITOUS_LANGUAGE.md. - Use Case: During a DDD modeling session about order fulfillment, invoke the Skill to consolidate scattered mentions of "customer", "client", and "buyer" into one canonical term with a shared definition. ## Quick Start Ask the assistant to build a ubiquitous language glossary from this conversation and save it to UBIQUITOUS_LANGUAGE.md.
