i18n-expert

daymade/claude-code-skills · updated Apr 10, 2026

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$npx skills add https://github.com/daymade/claude-code-skills --skill i18n-expert
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summary

Deliver a complete i18n setup + audit pass: configure the i18n framework, replace user-facing strings with keys, ensure locale parity, and validate pluralization/formatting for en-US and zh-CN.

skill.md

I18n Expert

Overview

Deliver a complete i18n setup + audit pass: configure the i18n framework, replace user-facing strings with keys, ensure locale parity, and validate pluralization/formatting for en-US and zh-CN.

Core Capabilities

  • Library selection and setup (React, Next.js, Vue).
  • Key architecture and locale file organization.
  • Translation generation and quality strategy (AI, professional, manual).
  • Routing and language detection/switching.
  • SEO and metadata localization (when applicable).
  • RTL support (only if RTL locales are in scope).

Scope Inputs (ask if unclear)

  • Framework and routing style.
  • Existing i18n state (none, partial, legacy).
  • Target locales (default: en-US + zh-CN).
  • Translation quality needs (AI vs professional vs manual).
  • Locale formats in use (JSON, YAML, PO, XLIFF).
  • Formality/cultural requirements (if any).

Workflow (Audit -> Fix -> Validate)

  1. Confirm scope and locale targets
  • Identify the i18n framework and locale locations.
  • Confirm locales; default to en-US + zh-CN when specified.
  1. Setup i18n baseline (if missing)
  • Choose a framework-appropriate library (e.g., React: react-i18next; Next.js: next-intl; Vue: vue-i18n).
  • Install packages and create the i18n entry/config file.
  • Wire the provider at the app root and load locale resources.
  • Add a language switcher and persistence (route/param/localStorage) as appropriate.
  • Establish locale file layout and key namespaces.
  • If routing is locale-aware, define the locale segment strategy early (subpath, subdomain, query param).
  • If metadata is user-facing, include translation for titles/descriptions.
  1. Audit key usage and locale parity
  • Run:
    python scripts/i18n_audit.py --src <src-root> --locale <path/to/en-US.json> --locale <path/to/zh-CN.json>
    
  • Treat missing keys/parity gaps as blockers.
  • Manually verify dynamic keys (t(var)).
  1. Find raw user-facing strings
  • Search:
    rg -n --glob '<src>/**/*.{ts,tsx,js,jsx}' "<[^>]+>[^<{]*[A-Za-z][^<{]*<"
    rg -n --glob '<src>/**/*.{ts,tsx,js,jsx}' "aria-label=\"[^\"]+\"|title=\"[^\"]+\"|placeholder=\"[^\"]+\""
    
  • Localize accessibility labels.
  1. Replace strings with keys
  • Use t('namespace.key') for UI text.
  • For plurals use t('key', { count }) + _one/_other keys.
  • Use Intl/app formatters for time/date/number.
  1. Localize error handling (critical)
  • Map error codes to localized keys; show localized UI only.
  • Log raw error details only.
  • Provide localized fallback for unknown codes.
  1. Update locale files
  • Add missing keys in both locales.
  • Keep placeholders consistent; avoid renames unless requested.
  • Generate translations using the agreed method; preserve placeholders and plural rules.
  1. Validate
  • Re-run the audit until missing/parity issues are zero.
  • Validate JSON (e.g., python -m json.tool <file>).
  • Update tests asserting visible text.

Guardrails

  • Never expose raw error.message to UI; show localized strings only.
  • Do not add extra locales unless explicitly requested.
  • Prefer structured namespaces (e.g., errors.*, buttons.*, workspace.*).
  • Keep translations concise and consistent.
  • Some technical/brand terms should remain untranslated (e.g., product name, API, MCP, Bash).

Deliverables (expected outputs)

  • i18n config/provider wiring.
  • Locale files for each target language.
  • Replaced UI strings with stable keys.
  • Language switcher and persistence (if applicable).
  • Updated tests for visible text.

Architecture Guidance (keep concise)

  • Key structure: prefer nested namespaces by area (e.g., common.buttons.save, pricing.tier.pro).
  • File layout: one file per locale or per-locale namespaces; keep keys in sync across locales.
  • Placeholders: preserve {name}/{{name}} exactly; validate plurals by locale rules.
  • Formatting: use Intl/app helpers for date, time, number, and list formatting.
  • SEO/metadata: localize titles and descriptions if the app exposes them.
  • RTL: only needed for RTL locales; use logical CSS properties and test layout.
  • Non-web surfaces (Electron main-process dialogs, CLI prompts, native menus) need localization too.

Performance Notes (short)

  • Lazy-load locale bundles when the app supports it.
  • Split large locale files by namespace.

Failure Modes (watchlist)

  • Missing translations: fall back to default locale and log warnings.
  • RTL layout issues: verify logical CSS and test pages.
  • SEO missing: ensure alternates and metadata are localized when applicable.

Validation Checklist (short)

  • No missing keys and no raw UI strings.
  • Locale switching works and persists.
  • Plurals and formatting verified in both locales.
  • Fallback locale configured.

Resources

scripts/

  • scripts/i18n_audit.py: Extracts t('key') usage and compares against locale JSON files.
how to use i18n-expert

How to use i18n-expert on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add i18n-expert
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/daymade/claude-code-skills --skill i18n-expert

The skills CLI fetches i18n-expert from GitHub repository daymade/claude-code-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/i18n-expert

Reload or restart Cursor to activate i18n-expert. Access the skill through slash commands (e.g., /i18n-expert) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.840 reviews
  • Tariq Bansal· Dec 16, 2024

    Useful defaults in i18n-expert — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Yusuf Anderson· Dec 16, 2024

    Keeps context tight: i18n-expert is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Shikha Mishra· Dec 12, 2024

    I recommend i18n-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Aanya Anderson· Nov 7, 2024

    We added i18n-expert from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Fatima Singh· Nov 7, 2024

    i18n-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Rahul Santra· Nov 3, 2024

    Solid pick for teams standardizing on skills: i18n-expert is focused, and the summary matches what you get after install.

  • Fatima Sharma· Oct 26, 2024

    i18n-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Tariq Smith· Oct 26, 2024

    Solid pick for teams standardizing on skills: i18n-expert is focused, and the summary matches what you get after install.

  • Pratham Ware· Oct 22, 2024

    i18n-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sakura Diallo· Sep 5, 2024

    i18n-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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