MCPInstall

translate-book-parallel

Translate entire books (PDF/DOCX/EPUB) into any language using Claude Code parallel subagents with resumable chunked pipeline

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/reason-machines/trending-skills --skill translate-book-parallel
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads translate-book-parallel automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Translate Book (Parallel Subagents)

Skill by ara.so — Daily 2026 Skills collection.

A Claude Code skill that translates entire books (PDF/DOCX/EPUB) into any language using parallel subagents. Each chunk gets an isolated context window — preventing truncation and context accumulation that plague single-session translation.

Pipeline Overview

Input (PDF/DOCX/EPUB)
  │
  ▼
Calibre ebook-convert → HTMLZ → HTML → Markdown
  │
  ▼
Split into chunks (~6000 chars each)
  │  manifest.json tracks SHA-256 hashes
  ▼
Parallel subagents (8 concurrent by default)
  │  each: read chunk → translate → write output_chunk*.md
  ▼
Validate (manifest hash check, 1:1 source↔output match)
  │
  ▼
Merge → Pandoc → HTML (with TOC) → Calibre → DOCX / EPUB / PDF

Prerequisites

# 1. Calibre (provides ebook-convert)
# macOS
brew install --cask calibre
# Linux
sudo apt-get install calibre
# Or download from https://calibre-ebook.com/

# 2. Pandoc
brew install pandoc        # macOS
sudo apt-get install pandoc # Linux

# 3. Python dependencies
pip install pypandoc beautifulsoup4

Verify all tools are available:

ebook-convert --version
pandoc --version
python3 -c "import pypandoc; print('pypandoc ok')"

Installation

Option A: npx (recommended)

npx skills add deusyu/translate-book -a claude-code -g

Option B: ClawHub

clawhub install translate-book

Option C: Git clone

git clone https://github.com/deusyu/translate-book.git ~/.claude/skills/translate-book

Usage in Claude Code

Once the skill is installed, use natural language inside Claude Code:

translate /path/to/book.pdf to Chinese
translate ~/Downloads/mybook.epub to Japanese
/translate-book translate /path/to/book.docx to French

The skill orchestrates the full pipeline automatically.

Supported Languages

CodeLanguage
zhChinese
enEnglish
jaJapanese
koKorean
frFrench
deGerman
esSpanish

Language codes are extensible — add new ones in the skill definition.

Running Pipeline Steps Manually

Step 1: Convert to Markdown Chunks

python3 scripts/convert.py /path/to/book.pdf --olang zh

This produces inside {book_name}_temp/:

  • chunk0001.md, chunk0002.md, ... (source chunks, ~6000 chars each)
  • manifest.json (SHA-256 hashes for validation)
# For EPUB input
python3 scripts/convert.py /path/to/book.epub --olang ja

# For DOCX input
python3 scripts/convert.py /path/to/book.docx --olang fr

Step 2: Translate (Parallel Subagents)

The skill handles this step — it launches 8 concurrent subagents per batch, each translating one chunk independently:

# Each subagent receives exactly this task:
Read chunk0042.md → translate to target language → write output_chunk0042.md

Resumable: Already-translated chunks (valid output_chunk*.md files) are skipped on re-run.

Step 3: Merge and Build All Formats

python3 scripts/merge_and_build.py \
  --temp-dir book_name_temp \
  --title "《Book Title in Target Language》"

Before merging, validation checks:

  • Every source chunk has a matching output file (1:1)
  • Source chunk hashes match manifest.json (no stale outputs)
  • No output files are empty

Outputs produced:

FileDescription
output.mdMerged translated Markdown
book.htmlWeb version with floating TOC
book.docxWord document
book.epubE-book format
book.pdfPrint-ready PDF

Project Structure

translate-book/
├── SKILL.md                    # Claude Code skill definition (orchestrator)
├── scripts/
│   ├── convert.py              # PDF/DOCX/EPUB → Markdown chunks via Calibre HTMLZ
│   ├── manifest.py             # SHA-256 chunk tracking and merge validation
│   ├── merge_and_build.py      # Merge chunks → HTML → DOCX/EPUB/PDF
│   ├── calibre_html_publish.py # Calibre wrapper for format conversion
│   ├── template.html           # Web HTML template with floating TOC
│   └── template_ebook.html     # Ebook HTML template
└── README.md

How Manifest Validation Works

# scripts/manifest.py (conceptual usage)

# During convert.py — records source hashes
manifest = {
    "chunk0001.md": "sha256:abc123...",
    "chunk0002.md": "sha256:def456...",
    # ...
}

# During merge_and_build.py — validates before merging
# 1. Check every chunk has a corresponding output_chunk
# 2. Re-hash source chunks and compare against manifest
# 3. Reject if any hash mismatches (stale/corrupt output)
# 4. Reject if any output file is empty

If validation fails, the script auto-deletes stale output.md and re-merges from valid chunk outputs.

Real-World Example: Translate a Technical Book

# 1. Install the skill
npx skills add deusyu/translate-book -a claude-code -g

# 2. Open Claude Code in your working directory
cd ~/books

# 3. Say in Claude Code:
# "translate clean-code.pdf to Chinese"

# Claude Code will:
# - Run convert.py to split into chunks
# - Launch 8 parallel subagents per batch
# - Each subagent translates one chunk
# - Validate all outputs via manifest
# - Merge and build all formats

# 4. Outputs appear in:
ls clean-code_temp/
# chunk0001.md  chunk0002.md  ...  (source)
# output_chunk0001.md  ...         (translated)
# manifest.json
# output.md
# book.html
# book.docx
# book.epub
# book.pdf

Resuming an Interrupted Translation

# If translation is interrupted, just re-run the same command:
# "translate clean-code.pdf to Chinese"

# The skill detects existing output_chunk*.md files
# and skips already-translated chunks automatically.
# Only missing or failed chunks are retried.

Changing Output Metadata After Translation

If you need to update the title, author, template, or image assets without re-translating:

# Delete only the final artifacts (keeps translated chunks)
cd book_name_temp/
rm -f output.md book*.html book.docx book.epub book.pdf

# Re-run merge step
python3 ../scripts/merge_and_build.py \
  --temp-dir . \
  --title "《New Title》"

Do NOT delete chunk files — those are your translated content. Only delete final artifacts when changing metadata.

Troubleshooting

ProblemSolution
Calibre ebook-convert not foundInstall Calibre; ensure ebook-convert is in $PATH
Manifest validation failedSource chunks changed — re-run convert.py
Missing source chunkSource file deleted — re-run convert.py to regenerate
Incomplete translationRe-run the skill — resumes from last valid chunk
Changed title/template but output unchangedDelete output.md, book*.html, book.docx, book.epub, book.pdf then re-run merge_and_build.py
output.md exists but manifest invalidScript auto-deletes stale output and re-merges
PDF generation failsVerify Calibre has PDF output support; try ebook-convert --help
Empty output chunksRetry failed chunks; check API rate limits

Diagnosing Chunk Issues

# Check which chunks are missing translation
ls book_temp/chunk*.md | wc -l          # total source chunks
ls book_temp/output_chunk*.md | wc -l   # translated chunks so far

# Find missing output chunks
for f in book_temp/chunk*.md; do
  base=$(basename "$f" .md)
  out="book_temp/output_${base}.md"
  if [ ! -f "$out" ] || [ ! -s "$out" ]; then
    echo "Missing: $out"
  fi
done

# Check manifest
cat book_temp/manifest.json | python3 -m json.tool | head -30

Configuration Tips

  • Chunk size: ~6000 chars per chunk is the default. Smaller chunks = more parallelism but more API calls.
  • Concurrency: Default is 8 parallel subagents per batch. Adjust in SKILL.md if hitting rate limits.
  • Languages: Add new language codes to the skill triggers and translation prompt in SKILL.md.
  • Templates: Customize scripts/template.html and scripts/template_ebook.html for different HTML/ebook styling.

Key Design Principles

  1. Isolated context per chunk — each subagent starts fresh, preventing context overflow on long books
  2. Hash-based integrity — SHA-256 tracking catches stale or corrupt translated chunks before merging
  3. Resumable at chunk granularity — never re-translate what's already done
  4. Format-agnostic input — Calibre handles PDF/DOCX/EPUB normalization before the pipeline begins
  5. Multiple output formats — single pipeline produces HTML, DOCX, EPUB, and PDF simultaneously

FAQ

What does the translate-book-parallel skill do?

Translate entire books (PDF/DOCX/EPUB) into any language using Claude Code parallel subagents with resumable chunked pipeline

How do I install translate-book-parallel?

Run npx skills add https://github.com/reason-machines/trending-skills --skill translate-book-parallel in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/translate-book-parallel/ (personal) or .claude/skills/translate-book-parallel/ (project).

Which AI agents can use translate-book-parallel?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is translate-book-parallel safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains translate-book-parallel?

It is published by reason-machines in reason-machines/trending-skills. It has 1,314 recorded installs.

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