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Translation glossary creator

Skill ur-grue/autopunk-media-skills/skills/translation-localization/translation-glossary-creator

Produces a structured source-language to target-language glossary of domain-specific terms, names, and recurring phrases to ensure consistent translation across an entire project.From its SKILL.md

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npx -y skills add ur-grue/autopunk-media-skills --skill translation-glossary-creator

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SKILL.md

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Translation Glossary Creator

What This Skill Does

Produces a structured source-language to target-language glossary of domain-specific terms, names, and recurring phrases to ensure consistent translation across an entire project.

When To Use This Skill

  • At the start of a documentary, series, or long-form journalism project that will be translated into one or more languages
  • When multiple translators or dubbing studios are working on the same project and need to use identical terminology
  • When a subject area has specialised vocabulary — science, law, economics, medicine, military — where inconsistent translation could mislead the audience
  • When revisiting an existing project for a new language version and need to lock terminology before any new translation work begins

What You Need To Provide

Required: A representative sample of source-language text — script excerpts, interview transcripts, or article sections totalling at least 300 words. The target language. The media format (documentary, news report, magazine article, podcast, etc.).

Optional: Names of key people, organisations, and locations that appear throughout the project. Any terms already translated and approved by the editorial team. Style preferences (e.g. formal register, region-specific spelling such as European vs. Latin American Spanish).

How the Assistant Approaches This

  1. Reads all provided source text and identifies every term likely to cause inconsistency: technical vocabulary, proper nouns, branded names, recurring thematic phrases, and any word with multiple plausible translations.
  2. For each term, selects the most accurate and contextually appropriate target-language equivalent, noting when regional variants exist or when the term should be left untranslated.
  3. Delivers the glossary in a clean two-column table (source → target) with a short note for any entry that requires editorial judgement — for example, a term with no direct equivalent, or a name with an established local spelling.

Output Format

A two-column markdown table: Source Term | Target Translation. One row per term. After the table, a short Notes section explaining any flagged entries. Total length depends on source material but typically 20–60 rows. Register and tone follow the project's editorial style. No footnotes or academic apparatus — written to be immediately usable by a translator or dubbing artist.

Quality Criteria

  • Every term in the glossary appears in the source text provided
  • Target translations are contextually accurate, not literal word-for-word substitutions where idiom differs
  • Proper nouns (people, organisations, locations) are handled consistently and follow established local conventions where applicable
  • Flagged entries include a plain-English note explaining the editorial decision required
  • The glossary is free of duplicates and alphabetically ordered for quick lookup
  • Verify with native speaker before broadcast

Example

Input

Source language: English Target language: French Format: TV documentary (3-part series on urban food systems) Sample text:

"The city's food sovereignty movement gained traction after the 2019 supply-chain disruption. Community land trusts began converting vacant lots into urban farms, while food hubs — centralised distribution points run by cooperatives — took over from traditional wholesalers. The mayor's office launched a 'farm-to-table' initiative to link smallholders directly to school canteens. Critics argue the programme prioritises optics over food justice for the city's low-income neighbourhoods."

Additional terms to include: food sovereignty, urban farm, food hub, supply chain, community land trust, smallholder, farm-to-table, food justice, cooperative, wholesaler, canteen, low-income neighbourhood.

Output

Project Glossary — Urban Food Systems Documentary

Language pair: English → French Prepared for: Series translation and dubbing

Source Term (EN)Target Translation (FR)
canteencantine
community land trustfoncière solidaire
cooperativecoopérative
farm-to-tablede la ferme à la table
food hubhub alimentaire
food justicejustice alimentaire
food sovereigntysouveraineté alimentaire
low-income neighbourhoodquartier populaire
smallholderpetit exploitant agricole
supply chainchaîne d'approvisionnement
supply-chain disruptionrupture de la chaîne d'approvisionnement
urban farmferme urbaine
vacant lotterrain vague
wholesalergrossiste

Notes

community land trust → foncière solidaire: No standard French equivalent exists. "Foncière solidaire" is the term used by French urban policy organisations and will be recognised by informed viewers. An on-screen text explanation is recommended on first use.

farm-to-table: The phrase is increasingly used as-is in French media contexts, particularly in lifestyle journalism. If the editorial team prefers a fully French version, "de la ferme à la table" is the standard rendering. Confirm with the series editor.

low-income neighbourhood → quartier populaire: Preferred over the more clinical "quartier à faibles revenus," which does not reflect natural French editorial usage. Consistent with public broadcaster style guides.

food hub → hub alimentaire: "Hub" is an established anglicism in French logistics and food-system journalism. No substitution recommended.

Known Limitations

  • The assistant identifies terms from the sample text provided; terms that appear only in sections not shared will be missed. Provide as broad a sample as possible.
  • Regional variation is flagged but not automatically resolved — a French glossary does not distinguish between French, Belgian, and Swiss usage without explicit guidance. Specify the target region.
  • The assistant cannot verify whether a proposed translation matches an organisation's existing official terminology. Always cross-check proper nouns against the organisation's own French-language materials.
  • Always verify the complete glossary with a native-speaker translator before distribution to dubbing studios or external translators.

Related Skills

What ships with it: 1 file

94 B alongside SKILL.md

Gives 0 of the 12 instructions most translation skills give in ~1.3k tokens

Counted across 286 of the 304 authors here whose files we hold, read 2026-09-06

  • Preserve all markdown formattingin 8 of 286, across 5 files
  • Use ICU message format for complex stringsin 8 of 286
  • Preserve all numbers, dates, and amounts exactlyin 7 of 286
  • Use CSS logical properties for RTL layoutsin 7 of 286
  • Format dates, numbers, and currencies with FormatStylein 7 of 286, across 6 files
  • Use locale-aware formatters for dates, numbers, and currencyin 7 of 286
  • Merge translated chunks in orderin 6 of 286, across 3 files
  • Use logical CSS properties instead of physical onesin 6 of 286
  • Use leading and trailing, never left and rightin 6 of 286, across 5 files
  • Use time-limited SAS URLs for document translationin 5 of 286, across 2 files
  • Split long content at markdown block boundariesin 5 of 286, across 2 files
  • Run first-time setup before any translation when preferences missingin 5 of 286, across 2 files

Said here and by no other author read

  • identify every term likely to cause translation inconsistency
  • select contextually accurate target-language equivalents for each term
  • note regional variants and terms to leave untranslated
  • deliver the glossary as a two-column table
  • flag entries requiring editorial judgement with short notes
  • include only terms that appear in the source text

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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