Extract domain terminology from conversations into a structured glossary file.
npx skills add https://github.com/mitchdowd/skills --skill language-mitchdowd
Please help me install this Agent Skill. Skill: language Source: https://github.com/mitchdowd/skills/tree/main/language Command: npx skills add https://github.com/mitchdowd/skills --skill language-mitchdowd
Extract and formalize domain terminology from the current conversation into a consistent glossary, flagging ambiguities, synonyms, and inconsistent usage to improve cross-team understanding.
Identify domain terms from the conversation, resolve ambiguities, and generate a canonical glossary stored as a local file.
High-intent search queries and answers about installing and using this skill.
To extract domain terminology, the tool scans conversations to identify relevant words, nouns, and concepts. It proposes canonical terms, surfaces aliases, flags ambiguities, and writes a structured glossary file to a local location for consistent cross-team communication.
The best way to flag ambiguous terms and synonyms is to extract domain terminology from the conversation into a structured glossary. This process identifies inconsistencies, proposes canonical terms, and flags ambiguities to improve cross-team understanding.
Yes, you can generate a glossary file directly from an ongoing conversation. The tool scans the current discussion, identifies domain-relevant terms, resolves ambiguities, and saves the structured canonical glossary to a local file.
To align domain modeling terms across cross-functional teams, extract domain terminology from conversations into a consistent glossary. This formalizes the language, flags ambiguities, and provides an example dialogue showing correct term usage.
A canonical glossary output includes grouped terms, flagged ambiguities, and an example dialogue demonstrating term usage. It formalizes domain terminology from the conversation into a structured local file for consistent cross-team communication.
huaxelExtract domain terminology from conversations into a UBIQUITOUS_LANGUAGE.md glossary.
docs-plusExtract domain terms from conversations and generate a markdown glossary with flagged ambiguities.
OneWave-AIExtract writing style, goals, and preferences from past Claude conversations.
drshailesh88Extract DDD-style ubiquitous language glossaries from conversations into UBIQUITOUS_LANGUAGE.md.
