book-translation

f/prompts.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/f/prompts.chat --skill book-translation
0 commentsdiscussion
summary

Translate \"The Interactive Book of Prompting\" chapters and UI strings to a new language.

  • Covers 25 chapters across 7 parts, requiring translation of MDX content files and JSON UI strings in a specified locale directory structure
  • Recommends copying the complete Turkish translation as a base rather than translating from English, preserving all JSX components and Markdown syntax while translating prose only
  • Requires registration of new locale in src/components/book/elements/locales/in
skill.md

Book Translation Skill

This skill guides translation of book content for The Interactive Book of Prompting at prompts.chat.

Overview

The book has 25 chapters across 7 parts. Translation requires:

  1. MDX content files - Full chapter content in src/content/book/{locale}/
  2. JSON translation keys - UI strings, chapter titles, and descriptions in messages/{locale}.json

Prerequisites

Before starting, identify:

  • Target locale code (e.g., de, fr, es, ja, ko, zh)
  • Check if locale exists in messages/ directory
  • Check if src/content/book/{locale}/ folder exists

Step 1: Copy Turkish Folder as Base

The Turkish (tr) translation is complete and well-tested. Copy it as your starting point instead of translating from English:

mkdir -p src/content/book/{locale}
cp -r src/content/book/*.mdx src/content/book/{locale}/
cp src/components/book/elements/locales/en.ts src/components/book/elements/locales/{locale}.ts

⚠️ IMPORTANT: After copying, you MUST register the new locale in src/components/book/elements/locales/index.ts:

  1. Add import: import {locale} from "./{locale}";
  2. Add to locales object: {locale},
  3. Add to named exports: export { en, tr, az, {locale} };

This is faster because:

  • Turkish and many languages share similar sentence structures
  • All JSX/React components are already preserved correctly
  • File structure is already set up
  • You only need to translate the prose, not recreate the structure

Step 2: Translate MDX Content Files

Edit each copied file in src/content/book/{locale}/ to translate from Turkish to your target language.

Process files one by one:

Chapter List (in order)

Slug English Title
00a-preface Preface
00b-history History
00c-introduction Introduction
01-understanding-ai-models Understanding AI Models
02-anatomy-of-effective-prompt Anatomy of an Effective Prompt
03-core-prompting-principles Core Prompting Principles
04-role-based-prompting Role-Based Prompting
05-structured-output Structured Output
06-chain-of-thought Chain of Thought
07-few-shot-learning Few-Shot Learning
08-iterative-refinement Iterative Refinement
09-json-yaml-prompting JSON & YAML Prompting
10-system-prompts-personas System Prompts & Personas
11-prompt-chaining Prompt Chaining
12-handling-edge-cases Handling Edge Cases
13-multimodal-prompting Multimodal Prompting
14-context-engineering Context Engineering
15-common-pitfalls Common Pitfalls
16-ethics-responsible-use Ethics & Responsible Use
17-prompt-optimization Prompt Optimization
18-writing-content Writing & Content
19-programming-development Programming & Development
20-education-learning Education & Learning
21-business-productivity Business & Productivity
22-creative-arts Creative Arts
23-research-analysis Research & Analysis
24-future-of-prompting The Future of Prompting
25-agents-and-skills Agents & Skills

MDX Translation Guidelines

  1. Preserve all JSX/React components - Keep <div>, <img>, className, etc. unchanged
  2. Preserve code blocks - Code examples should remain in English (variable names, keywords)
  3. Translate prose content - Headings, paragraphs, lists
  4. Keep Markdown syntax - ##, **bold**, *italic*, [links](url)
  5. Preserve component imports - Any import statements at the top

Step 3: Translate JSON Keys

In messages/{locale}.json, translate the "book" section. Key areas:

Book Metadata

"book": {
  "title": "The Interactive Book of Prompting",
  "subtitle": "An Interactive Guide to Crafting Clear and Effective Prompts",
  "metaTitle": "...",
  "metaDescription": "...",
  ...
}

Chapter Titles (book.chapters)

"chapters": {
  "00a-preface": "Preface",
  "00b-history": "History",
  "00c-introduction": "Introduction",
  ...
}

Chapter Descriptions (book.chapterDescriptions)

"chapterDescriptions": {
  "00a-preface": "A personal note from the author",
  "00b-history": "The story of Awesome ChatGPT Prompts",
  ...
}

Part Names (book.parts)

"parts": {
  "introduction": "Introduction",
  "foundations": "Foundations",
  "techniques": "Techniques",
  "advanced": "Advanced Strategies",
  "bestPractices": "Best Practices",
  "useCases": "Use Cases",
  "conclusion": "Conclusion"
}

Interactive Demo Examples (book.interactive.demoExamples)

Localize example text for demos (tokenizer samples, temperature examples, etc.):

"demoExamples": {
  "tokenPrediction": {
    "tokens": ["The", " capital", " of", " France", " is", " Paris", "."],
    "fullText": "The capital of France is Paris."
  },
  "temperature": {
    "prompt": "What is the capital of France?",
    ...
  }
}

Book Elements Locales (REQUIRED)

⚠️ DO NOT SKIP THIS STEP - The interactive demos will not work in the new language without this.

Translate the locale data file at src/components/book/elements/locales/{locale}.ts:

  • Temperature examples, token predictions, embedding words
  • Capabilities list, sample conversations, strategies
  • Tokenizer samples, builder fields, chain types
  • Frameworks (CRISPE, BREAK, RTF), exercises
  • Image/video prompt options, validation demos

Then register it in src/components/book/elements/locales/index.ts:

import {locale} from "./{locale}";

const locales: Record<string, LocaleData> = {
  en,
  tr,
  az,
  {locale},  // Add your new locale here
};

export { en, tr, az, {locale} };  // Add to exports

UI Strings (book.interactive.*, book.chapter.*, book.search.*)

Translate all interactive component labels and navigation strings.

Step 4: Verify Translation

  1. Run the check script:

    node scripts/check-translations.js
    
  2. Start dev server and test:

    npm run dev
    
  3. Navigate to /book with the target locale to verify content loads

Reference: English Translation

The English (en) translation is complete and serves as the base template for all new translations:

  • MDX files: src/content/book/*.mdx — copy this files to src/content/book/{locale}/*.mdx
  • JSON keys: messages/en.jsonbook section — use as reference for structure

Recommended Workflow

  1. Copy src/content/book/*.mdx to src/content/book/{locale}/*.mdx
  2. Copy the "book" section from messages/en.json to messages/{locale}.json. Translate these in multiple agentic session instead of single time (token limit may exceed at once)
  3. Edit each file, translating English → target language
  4. Keep all JSX components, code blocks, and Markdown syntax intact

Quality Guidelines

  • Consistency: Use consistent terminology throughout (e.g., always translate "prompt" the same way)
  • Technical terms: Some terms like "AI", "ChatGPT", "API" may stay in English
  • Cultural adaptation: Adapt examples to be relevant for the target audience where appropriate
  • Natural language: Prioritize natural-sounding translations over literal ones
how to use book-translation

How to use book-translation 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 book-translation
2

Execute installation command

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

$npx skills add https://github.com/f/prompts.chat --skill book-translation

The skills CLI fetches book-translation from GitHub repository f/prompts.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/book-translation

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

4.825 reviews
  • Kabir Anderson· Dec 24, 2024

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

  • Sakshi Patil· Dec 12, 2024

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

  • Kabir Gonzalez· Nov 15, 2024

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

  • Chaitanya Patil· Nov 3, 2024

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

  • Omar Choi· Nov 3, 2024

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

  • Piyush G· Oct 22, 2024

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

  • Ishan Khanna· Oct 6, 2024

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

  • Shikha Mishra· Sep 1, 2024

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

  • Emma Menon· Sep 1, 2024

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

  • Rahul Santra· Aug 20, 2024

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

showing 1-10 of 25

1 / 3