Translate Markdown documentation to zh-TW while preserving code blocks and tag placeholders.
npx skills add https://github.com/ChenHom/note --skill docs-translator
Please help me install this Agent Skill. Skill: docs-translator Source: https://github.com/ChenHom/note/tree/main/ai/skills/docs-translator Command: npx skills add https://github.com/ChenHom/note --skill docs-translator
Translating large Markdown documentation often disrupts formatting and code blocks, creating manual toil. This skill delivers an industrial-grade automated workflow that preserves code blocks, inline code, and document structure while translating to zh-TW, with self-healing batch handling and model-aware batching to minimize cost.
Run the main pipeline to translate docs/ into zh-TW using an OpenAI API key and a preferred model.
High-intent search queries and answers about installing and using this skill.
To translate Markdown to zh-TW while preserving code blocks, this skill uses mechanical masking to protect block and inline code markers during translation. It prevents tag-swapping and keeps document structure, including Mermaid diagrams, intact throughout the automated workflow.
Handling large Markdown translation failures is managed through self-healing batching. When a large paragraph batch fails, the pipeline automatically falls back to single-paragraph translation, verifying paragraph integrity and recovering gracefully to ensure the process completes.
Model-aware batching optimizes translation costs by applying different batch sizes for mini models versus flagship models. This balances cost and precision, allowing you to process large docsets efficiently without overspending on API usage during translation.
Yes, you can automate Markdown translation with OpenAI while keeping formatting intact. The modular pipeline integrates an OpenAI API key with your preferred model, preserving inline code, tags, and document structure throughout the translation run.
Yes, the automated translation pipeline supports Mermaid diagrams and inline code. By mechanically masking code markers and tag placeholders, it ensures that diagrams and inline code blocks remain unaltered and functional in the translated output.
Batch translation may fail due to API limits, but the pipeline recovers gracefully through self-healing batching. It automatically retries the failed batch by falling back to single-paragraph translation, verifying integrity to ensure the overall document completes successfully.
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