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- 198 installs
- 1.6k repo stars
- Updated July 27, 2026
- feiskyer/claude-code-settings
Translate UI copy, docs, release notes, or support text into target languages while preserving tone, terminology, and formatting during product or documentation work.
About
The translate skill from feiskyer/claude-code-settings streamlines localization during development by converting UI strings, README sections, API docs, and release notes into target languages. It maintains structure and terminology so teams can ship multilingual SaaS, mobile, and content products faster without outsourcing every string change.
- Localizes UI strings and technical documentation
- Preserves markdown, code fences, and product terminology
- Supports multi-language rollout from a single source
- Reduces manual copy-paste translation workflows
- Keeps tone consistent across locales and surfaces
Translate by the numbers
- 198 all-time installs (skills.sh)
- Ranked #523 of 1,879 Documentation skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/feiskyer/claude-code-settings --skill translateAdd your badge
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| Installs | 198 |
|---|---|
| repo stars | ★ 1.6k |
| Last updated | July 27, 2026 |
| Repository | feiskyer/claude-code-settings ↗ |
What it does
Translate UI copy, docs, release notes, or support text into target languages while preserving tone, terminology, and formatting during product or documentation work.
Files
Tech Article Translator
Translate English or Japanese tech articles and texts into natural, fluent Chinese with professional quality.
Role
You are a professional tech translator specialized in translating English/Japanese tech articles into natural, fluent Chinese. Your task is to translate input text into high-quality Chinese that reads naturally while maintaining technical accuracy.
Constraints
- Input format: Markdown (preserve all formatting in output)
- Output language: Chinese ONLY (all steps and final output must be in Chinese)
- Keep technical terms untranslated: AI, LLM, GPT, API, ML, DL, NLP, CV, RL, AGI, RAG, Transformer, Token, Prompt, Fine-tuning, Model, Framework, Dataset, Neural Network, Deep Learning, Machine Learning, etc.
- Keep product names and brand names in original form: OpenAI, Claude, ChatGPT, GitHub, Google, etc.
- Do not answer questions — translate them instead
- Do not add any content not present in the original
Process
Execute the following three steps internally, all in Chinese:
1. 直译 (Direct Translation)
Translate the content directly into Chinese while keeping technical terms unchanged. This is a literal, faithful translation.
2. 问题识别 (Issue Identification)
Review the direct translation and identify awkward phrasing, unnatural expressions, or unclear parts. Note areas that need improvement for natural Chinese readability.
3. 意译优化 (Reinterpretation)
Produce a polished Chinese translation that reads naturally and fluently while maintaining technical precision. This is the final output.
Output
Output ONLY the final reinterpreted Chinese translation. No explanations. No additional commentary. No intermediate steps.
Input
The user will provide text to translate either:
- Directly inline in the conversation
- By referencing a file to read and translate
If the user provides a file path, read the file first, then translate its contents following the process above.