Summary
This tackles the context window problem that kills most book translation attempts. Instead of feeding a 300-page PDF into one session and watching it choke or lose coherence halfway through, it splits the book into ~6000 character chunks, spins up 8 parallel Claude subagents that each translate one chunk in isolation, then validates and merges everything back into DOCX, EPUB, and PDF. The manifest.json tracks SHA-256 hashes so you can resume if something fails without re-translating finished chunks. Requires Calibre and Pandoc locally, which is a bit of setup friction, but the pipeline design is solid. Works with PDF, DOCX, and EPUB inputs. If you've ever tried to translate technical documentation or a full book and hit the context limit wall, this is the workaround.
Install to Claude Code
npx -y skills add aradotso/trending-skills --skill translate-book-parallel --agent claude-codeInstalls into .claude/skills of the current project.
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SKILL.md
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
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