Agent skill
i18n-localization
Internationalization and localization patterns. Detecting hardcoded strings, managing translations, locale files, RTL support.
Install this agent skill to your Project
npx add-skill https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/development/i18n-localization
SKILL.md
i18n & Localization
Internationalization (i18n) and Localization (L10n) best practices.
1. Core Concepts
| Term | Meaning |
|---|---|
| i18n | Internationalization - making app translatable |
| L10n | Localization - actual translations |
| Locale | Language + Region (en-US, tr-TR) |
| RTL | Right-to-left languages (Arabic, Hebrew) |
2. When to Use i18n
| Project Type | i18n Needed? |
|---|---|
| Public web app | ✅ Yes |
| SaaS product | ✅ Yes |
| Internal tool | ⚠️ Maybe |
| Single-region app | ⚠️ Consider future |
| Personal project | ❌ Optional |
3. Implementation Patterns
React (react-i18next)
import { useTranslation } from 'react-i18next';
function Welcome() {
const { t } = useTranslation();
return <h1>{t('welcome.title')}</h1>;
}
Next.js (next-intl)
import { useTranslations } from 'next-intl';
export default function Page() {
const t = useTranslations('Home');
return <h1>{t('title')}</h1>;
}
Python (gettext)
from gettext import gettext as _
print(_("Welcome to our app"))
4. File Structure
locales/
├── en/
│ ├── common.json
│ ├── auth.json
│ └── errors.json
├── tr/
│ ├── common.json
│ ├── auth.json
│ └── errors.json
└── ar/ # RTL
└── ...
5. Best Practices
DO ✅
- Use translation keys, not raw text
- Namespace translations by feature
- Support pluralization
- Handle date/number formats per locale
- Plan for RTL from the start
- Use ICU message format for complex strings
DON'T ❌
- Hardcode strings in components
- Concatenate translated strings
- Assume text length (German is 30% longer)
- Forget about RTL layout
- Mix languages in same file
6. Common Issues
| Issue | Solution |
|---|---|
| Missing translation | Fallback to default language |
| Hardcoded strings | Use linter/checker script |
| Date format | Use Intl.DateTimeFormat |
| Number format | Use Intl.NumberFormat |
| Pluralization | Use ICU message format |
7. RTL Support
/* CSS Logical Properties */
.container {
margin-inline-start: 1rem; /* Not margin-left */
padding-inline-end: 1rem; /* Not padding-right */
}
[dir="rtl"] .icon {
transform: scaleX(-1);
}
8. Checklist
Before shipping:
- All user-facing strings use translation keys
- Locale files exist for all supported languages
- Date/number formatting uses Intl API
- RTL layout tested (if applicable)
- Fallback language configured
- No hardcoded strings in components
Script
| Script | Purpose | Command |
|---|---|---|
scripts/i18n_checker.py |
Detect hardcoded strings & missing translations | python scripts/i18n_checker.py <project_path> |
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
verl-rl-training
Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.
openrlhf-training
High-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO-3. 2× faster than DeepSpeedChat with distributed architecture and GPU resource sharing.
gguf-quantization
GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.
Claude Code Guide
Master guide for using Claude Code effectively. Includes configuration templates, prompting strategies "Thinking" keywords, debugging techniques, and best practices for interacting with the agent.
qdrant-vector-search
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
behavioral-modes
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
Didn't find tool you were looking for?