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Localization Urdu Skill
localization-urdu
Provide per-chapter Urdu translation toggle and manage translated content delivery. Use when translating chapters, caching translations, or implementing language toggles.
SKILL.md
Full skill instructions
Localization Urdu Skill
Instructions
-
Translation pipeline
- Extract sections by heading from source Markdown/MDX
- Translate via OpenAI/ChatKit translation model
- Keep glossary for robotics terms (JSON file)
- Cache translations with checksum per section
- Rerun only when source checksum changes
-
Storage
- Option A: Markdown copies (
.ur.mdx) alongside English - Option B: Neon table
translations(section_id, lang, content) - Tag Qdrant payload with
langfor bilingual RAG
- Option A: Markdown copies (
-
Frontend
- Add language toggle in Docusaurus layout
- Load Urdu content when available, fallback to English
- Ensure chat widget passes desired language to backend
-
Quality
- Spot-check key technical terms
- Allow glossary overrides via JSON config
- Keep technical terms consistent across chapters
Examples
# Translation function
async def translate_section(content: str, glossary: dict) -> str:
prompt = f"""Translate to Urdu. Keep technical terms from glossary.
Glossary: {glossary}
Content: {content}
"""
# Call OpenAI
return translated_content
// glossary.json
{
"Physical AI": "فزیکل اے آئی",
"Humanoid Robot": "ہیومنائیڈ روبوٹ",
"ROS 2": "ROS 2",
"NVIDIA Isaac": "NVIDIA Isaac"
}
Definition of Done
- Translation pipeline runs and caches results; reruns are incremental
- Urdu toggle renders translated sections for at least one sample chapter
- Backend can return Urdu-context answers when requested
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