translation
Translation handles the complete localization workflow—from project briefing through native review—with structured guidance on glossary and style guide development. It helps teams choose between human and machine translation based on content type, manage terminology consistency across markets, and maintain SEO integrity in translated pages.
Translation skill creates workflows, glossaries, and style guides to manage multilingual content projects effectively.
AI-generated summary based on this skill's SKILL.md
Install
kostja94/marketing-skills/translation
git clone https://github.com/kostja94/marketing-skills
cp -r marketing-skills/skills/content/translation ~/.claude/skills/translationFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How do I create a translation glossary for my product?
Translation glossaries establish consistent terminology across all your localized content. Start by identifying key product terms, brand names, and domain-specific vocabulary that must remain consistent across languages. Document each term with its approved translation, context notes, and any usage restrictions. Store your glossary in a shared system accessible to all translators and reviewers. Update it regularly as new terms emerge, and use it as a reference during translation memory setup to ensure terminology aligns with your TMS system.
What's the difference between machine translation and human translation?
Translation distinguishes these approaches by use case: machine translation excels for high-volume, time-sensitive content like support articles or internal communications where speed matters more than nuance. Human translation is essential for marketing copy, brand messaging, and customer-facing content where tone, cultural relevance, and brand voice are critical. Many teams use hybrid workflows—machine translation as a first pass followed by human post-editing for quality-sensitive materials. Your choice depends on content type, target market sensitivity, and budget constraints.
How should I translate website content for SEO effectiveness?
Translation's SEO optimization approach involves researching target-language keywords and search intent before translating. Avoid literal word-for-word translation of your source content; instead, adapt headings, meta descriptions, and body copy to match local search behavior. Maintain URL structure consistency, implement hreflang tags to signal language versions to search engines, and ensure translated pages have unique, locally-relevant content rather than simple copies. Work with native speakers who understand local SEO practices to balance translation accuracy with search visibility.
What does a translation workflow for multilingual content include?
Translation's structured workflow begins with a detailed brief specifying target languages, audience, tone, and any cultural considerations. Next, establish your glossary and style guide, then route content through translation (human or machine based on content type). Follow with quality assurance review by native speakers, cultural adaptation checks, and SEO validation for web content. Finally, conduct a full review cycle before deployment. Use a TMS system to track progress, manage revisions, and maintain version control across all language variants throughout this process.
How do I develop a translation style guide for consistency?
Translation style guides document your brand voice, terminology preferences, and language-specific conventions for each target market. Include sections on tone (formal vs. casual), punctuation rules, number and date formatting, and how to handle brand-specific terms. Specify cultural adaptation guidelines—what's acceptable in one market may not work in another. Share examples of approved translations alongside rejected alternatives. Maintain separate guides for each language pair since Spanish for Mexico differs from Spanish for Spain. Review and update your style guide quarterly as your brand evolves.
What's the role of translation memory and TMS in team collaboration?
Translation memory (TM) and translation management systems (TMS) streamline team workflows by storing previously translated segments for reuse, reducing redundant work and ensuring consistency. A TMS coordinates multiple translators, manages version control, tracks approval workflows, and integrates with your glossary and style guides. These systems are especially valuable for large projects, ongoing content updates, and distributed teams. They reduce translation costs by leveraging existing translations, speed up turnaround times, and provide audit trails for quality assurance and compliance.
SKILL.md
rendered from the published skill — quoted content, verbatim
Content: Translation
Guides translation workflow, terminology, style, and quality for multilingual content. Covers when to use human vs machine translation, glossary and style guide creation, and SEO considerations. For i18n implementation, hreflang, and URL structure, see localization-strategy.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
Scope
- Workflow: Brief → translate → review
- Terminology: Glossary creation and management
- Style guide: Voice, tone, formatting per language
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Human vs MT: When to use each; post-editing
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skills/content/translation/SKILL.md