i18n

lobehub/lobe-chat · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/lobehub/lobe-chat --skill i18n
0 commentsdiscussion
summary

Flat keys with dot notation (not nested objects):

skill.md

LobeHub Internationalization Guide

  • Default language: Chinese (zh-CN)
  • Framework: react-i18next
  • Only edit files in src/locales/default/ - Never edit JSON files in locales/
  • Run pnpm i18n to generate translations (or manually translate zh-CN/en-US for dev preview)

Key Naming Convention

Flat keys with dot notation (not nested objects):

// ✅ Correct
export default {
  'alert.cloud.action': '立即体验',
  'sync.actions.sync': '立即同步',
  'sync.status.ready': '已连接',
};

// ❌ Avoid nested objects
export default {
  alert: { cloud: { action: '...' } },
};

Patterns: {feature}.{context}.{action|status}

Parameters: Use {{variableName}} syntax

'alert.cloud.desc': '我们提供 {{credit}} 额度积分',

Avoid key conflicts:

// ❌ Conflict
'clientDB.solve': '自助解决',
'clientDB.solve.backup.title': '数据备份',

// ✅ Solution
'clientDB.solve.action': '自助解决',
'clientDB.solve.backup.title': '数据备份',

Workflow

  1. Add keys to src/locales/default/{namespace}.ts
  2. Export new namespace in src/locales/default/index.ts
  3. For dev preview: manually translate locales/zh-CN/{namespace}.json and locales/en-US/{namespace}.json
  4. Remind the user to run pnpm i18n before creating PR — do NOT run it yourself (very slow)

Usage

import { useTranslation } from 'react-i18next';

const { t } = useTranslation('common');

t('newFeature.title');
t('alert.cloud.desc', { credit: '1000' });

// Multiple namespaces
const { t } = useTranslation(['common', 'chat']);
t('common:save');

Common Namespaces

Most used: common (shared UI), chat (chat features), setting (settings)

Others: auth, changelog, components, discover, editor, electron, error, file, hotkey, knowledgeBase, memory, models, plugin, portal, providers, tool, topic

how to use i18n

How to use i18n 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
2

Execute installation command

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

$npx skills add https://github.com/lobehub/lobe-chat --skill i18n

The skills CLI fetches i18n from GitHub repository lobehub/lobe-chat 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

Reload or restart Cursor to activate i18n. Access the skill through slash commands (e.g., /i18n) 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

Submit your Claude Code skill and start earning

GET_STARTED →

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)
  • No comments yet — start the thread.
general reviews

Ratings

4.833 reviews
  • Pratham Ware· Dec 12, 2024

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

  • Zara Huang· Dec 12, 2024

    i18n fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Hiroshi Patel· Oct 22, 2024

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

  • Mateo Khan· Sep 17, 2024

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

  • Luis Brown· Sep 5, 2024

    i18n has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Yash Thakker· Sep 1, 2024

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

  • Luis Chen· Aug 24, 2024

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

  • Dhruvi Jain· Aug 20, 2024

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

  • Naina Abebe· Aug 8, 2024

    Registry listing for i18n matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Valentina Huang· Jul 27, 2024

    i18n fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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