
translate-book-parallel
Translate entire books (PDF/DOCX/EPUB) into any language using Claude Code parallel subagents with resumable chunked pipeline
- Installs
- 1.3K
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/reason-machines/trending-skills --skill translate-book-parallel- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads translate-book-parallel automatically when relevant.
- 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
| Code | Language |
|---|---|
zh | Chinese |
en | English |
ja | Japanese |
ko | Korean |
fr | French |
de | German |
es | Spanish |
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:
| File | Description |
|---|---|
output.md | Merged translated Markdown |
book.html | Web version with floating TOC |
book.docx | Word document |
book.epub | E-book format |
book.pdf | Print-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
| Problem | Solution |
|---|---|
Calibre ebook-convert not found | Install Calibre; ensure ebook-convert is in $PATH |
Manifest validation failed | Source chunks changed — re-run convert.py |
Missing source chunk | Source file deleted — re-run convert.py to regenerate |
| Incomplete translation | Re-run the skill — resumes from last valid chunk |
| Changed title/template but output unchanged | Delete output.md, book*.html, book.docx, book.epub, book.pdf then re-run merge_and_build.py |
output.md exists but manifest invalid | Script auto-deletes stale output and re-merges |
| PDF generation fails | Verify Calibre has PDF output support; try ebook-convert --help |
| Empty output chunks | Retry failed chunks; check API rate limits |
Diagnosing Chunk Issues
# Check which chunks are missing translation
ls book_temp/chunk*.md | wc -l # total source chunks
ls book_temp/output_chunk*.md | wc -l # translated chunks so far
# Find missing output chunks
for f in book_temp/chunk*.md; do
base=$(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.mdif hitting rate limits. - Languages: Add new language codes to the skill triggers and translation prompt in
SKILL.md. - Templates: Customize
scripts/template.htmlandscripts/template_ebook.htmlfor different HTML/ebook styling.
Key Design Principles
- Isolated context per chunk — each subagent starts fresh, preventing context overflow on long books
- Hash-based integrity — SHA-256 tracking catches stale or corrupt translated chunks before merging
- Resumable at chunk granularity — never re-translate what's already done
- Format-agnostic input — Calibre handles PDF/DOCX/EPUB normalization before the pipeline begins
- 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.
More from reason-machines/trending-skills
openclaw-control-center
reason-machines/trending-skills
Local-first, security-first control center for OpenClaw agents — visibility dashboard with readonly defaults, token attribution, collaboration tracing, and safe write operations.
inkos-multi-agent-novel-writing
reason-machines/trending-skills
Multi-agent CLI system for autonomous novel writing, auditing, and revision with human review gates
claude-hud-statusline
reason-machines/trending-skills
A Claude Code plugin that displays a real-time HUD showing context usage, active tools, running agents, and todo progress in your terminal statusline.
understand-anything-knowledge-graph
reason-machines/trending-skills
Turn any codebase into an interactive knowledge graph using Claude Code skills — explore, search, and ask questions about any project visually.
agency-agents-ai-specialists
reason-machines/trending-skills
A collection of specialized AI agent personalities for Claude Code, Cursor, Aider, Windsurf, and other AI coding tools — covering engineering, design, marketing, sales, and more.
agent-browser-automation
reason-machines/trending-skills
Headless browser automation CLI for AI agents using native Rust binary with Chrome DevTools Protocol
Popular docs & writing skills
grill-with-docs
mattpocock/skills
A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
lark-markdown
open.feishu.cn
飞书 Markdown:查看、创建、上传、编辑和比较飞书中的原生 Markdown 文件。当用户要操作飞书 Markdown 文件,或比较其远端版本及本地草稿时使用。纯本地 Markdown 文件操作不触发本 skill。不负责将 Markdown 导入为飞书在线文档,也不负责文件搜索、权限、评论、移动、删除等云空间管理操作。
writing-beats
mattpocock/skills
Writing, exploit; assemble raw material into a journey of beats, grounding each term before a beat leans on it.
writing-shape
mattpocock/skills
Writing, exploit: shape raw material into an article, paragraph by paragraph.
writing-fragments
mattpocock/skills
Writing, explore: mine raw fragments, no structure yet.
writing-for-agents
mattpocock/skills
Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.