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Extract a DDD-style ubiquitous language glossary from conversation: identify domain terms, flag ambiguities, propose canonical terms, and write the result to UB
This skill scans conversations or provided domain context to extract domain-specific nouns, verbs, and concepts and converts them into a concise DDD-style glossary. It flags ambiguities, synonyms, and overloaded terms, proposes canonical terms with aliases to avoid, and writes the output to UBIQUITOUS_LANGUAGE.md for incremental updates.
Run this when teams want to formalize domain terminology, during design discussions, domain modelling sessions, onboarding, or when you spot inconsistent term usage in docs or chat. It's especially useful when the user mentions DDD, domain model, glossary, or requests a canonicalization of terms.
Well-suited for assistants with read/write file tools and conversational context awareness (agents using file access and reasoning tools like Copilot/Code assistants, Claude, or GPT-based agents).
A prompt-only skill for extracting DDD-style ubiquitous language glossaries from conversation. No scripts to execute — purely instruction-based. Clean security profile with only file read/write tools allowed. Well-structured output format template and clear rules, but instructions are somewhat repetitive between sections and lack edge case handling.
Prompt-only skill, no scripts. Clean and safe. Moderate usefulness due to niche audience and the fact that most LLMs can extract terminology without a dedicated skill.
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