Glossary Builder Skill

Inconsistent terminology is the most visible localization failure — when "dashboard" is translated three ways across one product, it looks amateur and confuses users. A glossary (termbase) fixes the key terms once, so every translator and every locale uses the approved rendering. This skill builds it: extract the terms that matter, define them in context, and set the approved translation (or do-not-translate flag).

Required Inputs

Ask for these only if they aren't already provided:

• The source material / domain — product UI, docs, or a term list; and the field (so definitions are right).
• Target locale(s) — which languages need approved translations.
• Existing decisions — any brand terms, product names, or prior translations to lock in.
• Do-not-translate candidates — brand/product names, trademarks, code/API terms.

Output Format

Glossary: [product/domain]

A termbase table — one row per term:

Guidance included:

• Definitions/context — so a translator knows which meaning (e.g. "ticket" = support case, not event admission), preventing the classic wrong-sense error.
• Do-not-translate list — brand/product names, trademarks, code identifiers, UI elements that must stay in English.
• Part of speech / forms — flag terms where the form matters (verb vs. noun "filter").
• Consistency notes — preferred vs. avoided synonyms in the source itself ("use 'sign in', not 'log in'").

Output note: structured for import into a CAT tool (Trados/memoQ/Crowdin) or to sit in the localization style guide. Mark any translation that needs native review as (draft — confirm).

Quality Checks

• Each term has a definition/context so translators pick the right sense
• Do-not-translate terms (brand, product, code) are clearly flagged
• An approved translation is given per target locale (or marked draft for review)
• Part of speech / ambiguous forms are disambiguated
• Source-side consistency (preferred synonyms) is noted
• Structured for a CAT tool / style-guide import

Anti-Patterns

• Do not list terms without context — "ticket" or "filter" with no definition guarantees wrong-sense translations
• Do not omit the do-not-translate flags — that's how brand/product names get mangled across locales
• Do not present machine translations as approved — mark them draft for native review
• Do not ignore source consistency — if the source mixes "sign in/log in," the glossary should pick one
• Do not forget part of speech — a term that's both noun and verb often needs two entries

Based On

Terminology-management practice — termbases, do-not-translate lists, context definitions, CAT-tool glossary structure.