baoyu-translate

name baoyu-translate description This skill should be used when the user asks to "translate", "翻译", "精翻", "translate article", "translate to Chinese", "translate to English", "改成中文", "改成英文", "convert to Chinese", "localize", "本地化", "refined translation", "精细翻译", "proofread translation", "快速翻译", "快翻", "这篇文章翻译一下", or provides a URL/file with translation intent. Supports three modes (quick/normal/refined) with custom glossary support. version 1.117.3 metadata {"openclaw":{"homepage":"https://github.com/JimLiu/baoyu-skills#baoyu-translate","requires":{"anyBins":"[Truncated]"}}} Translator Three-mode translation skill: quick for direct translation, normal for analysis-informed translation, refined for full publication-quality workflow with review and polish. User Input Tools When this skill prompts the user, follow this tool-selection rule (priority order): Prefer built-in user-input tools exposed by the current agent runtime — e.g., AskUserQuestion , request_user_input , clarify , ask_user , or any equivalent. Fallback : if no such tool exists, emit a numbered plain-text message and ask the user to reply with the chosen number/answer for each question. Batching : if the tool supports multiple questions per call, combine all applicable questions into a single call; if only single-question, ask them one at a time in priority order. Concrete AskUserQuestion references below are examples — substitute the local equivalent in other runtimes. Script Directory Scripts in scripts/ subdirectory. {baseDir} = this SKILL.md's directory path. Resolve ${BUN_X} runtime: if bun installed → bun ; if npx available → npx -y bun ; else suggest installing bun. Replace {baseDir} and ${BUN_X} with actual values. Script Purpose scripts/main.ts CLI entry point. Default action splits markdown into chunks; also supports explicit chunk subcommand scripts/chunk.ts Markdown chunking implementation used by main.ts and kept compatible for direct invocation Preferences (EXTEND.md) Check EXTEND.md in priority order — the first one found wins: Priority Path Scope 1 .baoyu-skills/baoyu-translate/EXTEND.md Project 2 ${XDG_CONFIG_HOME:-$HOME/.config}/baoyu-skills/baoyu-translate/EXTEND.md XDG 3 $HOME/.baoyu-skills/baoyu-translate/EXTEND.md User home Result Action Found Read, parse, apply. On first use in session, briefly remind: "Using preferences from [path]. You can edit EXTEND.md to customize glossary, audience, etc." Not found MUST run first-time setup (see below) — do NOT silently use defaults EXTEND.md supports : default target language, default mode, target audience, custom glossaries (inline or file path), translation style, chunk settings. Schema: references/config/extend-schema.md . First-Time Setup (BLOCKING) CRITICAL : When EXTEND.md is not found, you MUST run the first-time setup before ANY translation. This is a BLOCKING operation. Full reference: references/config/first-time-setup.md Use AskUserQuestion with all questions (target language, mode, audience, style, save location) in ONE call. After user answers, create EXTEND.md at the chosen location, confirm "Preferences saved to [path]", then continue. Defaults All configurable values in one place. EXTEND.md overrides these; CLI flags override EXTEND.md. Setting Default EXTEND.md key CLI flag Description Target language zh-CN target_language --to Translation target language Mode normal default_mode --mode Translation mode Audience general audience --audience Target reader profile Style storytelling style --style Translation style preference Chunk threshold 4000 chunk_threshold — Word count to trigger chunked translation Chunk max words 5000 chunk_max_words — Max words per chunk Modes Mode Flag Steps When to Use Quick --mode quick Translate Short texts, informal content, quick tasks Normal --mode normal (default) Analyze → Translate Articles, blog posts, general content Refined --mode refined Analyze → Translate → Review → Polish Publication-quality, important documents Default mode : Normal (can be overridden in EXTEND.md default_mode setting). Style presets — control the voice and tone of the translation (independent of audience): Value Description Effect storytelling Engaging narrative flow (default) Draws readers in, smooth transitions, vivid phrasing formal Professional, structured Neutral tone, clear organization, no colloquialisms technical Precise, documentation-style Concise, terminology-heavy, minimal embellishment literal Close to original structure Minimal restructuring, preserves source sentence patterns academic Scholarly, rigorous Formal register, complex clauses OK, citation-aware business Concise, results-focused Action-oriented, executive-friendly, bullet-point mindset humorous Preserves and adapts humor Witty, playful, recreates comedic effect in target language conversational Casual, spoken-like Friendly, approachable, as if explaining to a friend elegant Literary, polished prose Aesthetically refined, rhythmic, carefully crafted word choices Custom style descriptions are also accepted, e.g., --style "poetic and lyrical" . Auto-detection : "快翻", "quick", "直接翻译" → quick mode "精翻", "refined", "publication quality", "proofread" → refined mode Otherwise → default mode (normal) Upgrade prompt : After normal mode completes, display: Translation saved. To further review and polish, reply "继续润色" or "refine". If user responds, continue with review → polish steps (same as refined mode Steps 4-6 in refined-workflow.md) on the existing output. Audience presets : Value Description Effect general General readers (default) Plain language, more translator's notes for jargon technical Developers / engineers Less annotation on common tech terms academic Researchers / scholars Formal register, precise terminology business Business professionals Business-friendly tone, explain tech concepts Custom audience descriptions are also accepted, e.g., --audience "AI感兴趣的普通读者" . Workflow Step 1: Load Preferences 1.1 Check EXTEND.md (see Preferences section above) 1.2 Load built-in glossary for the language pair if available: EN→ZH: references/glossary-en-zh.md 1.3 Merge glossaries: EXTEND.md glossary (inline) + EXTEND.md glossary_files (external files, paths relative to EXTEND.md location) + built-in glossary + --glossary file (CLI overrides all) Step 2: Materialize Source & Create Output Directory Materialize source (file as-is, inline text/URL → save to translate/{slug}.md ), then create output directory: {source-dir}/{source-basename}-{target-lang}/ . Detect source language if --from not specified. Full details: references/workflow-mechanics.md Output directory contents (all intermediate and final files go here): File Mode Description translation.md All Final translation (always this name) 01-analysis.md Normal, Refined Content analysis (domain, tone, terminology) 02-prompt.md Normal, Refined Assembled translation prompt 03-draft.md Refined Initial draft before review 04-critique.md Refined Critical review findings (diagnosis only) 05-revision.md Refined Revised translation based on critique chunks/ Chunked Source chunks + translated chunks Step 3: Assess Content Length Quick mode does not chunk — translate directly regardless of length. Before translating, estimate word count. If content exceeds chunk threshold (default 4000 words), proactively warn: "This article is ~{N} words. Quick mode translates in one pass without chunking — for long content, --mode normal produces better results with terminology consistency." Then proceed if user doesn't switch. For normal and refined modes: Content Action < chunk threshold Translate as single unit >= chunk threshold Chunk translation (see Step 3.1) 3.1 Long Content Preparation (normal/refined modes, >= chunk threshold only) Before translating chunks: Extract terminology : Scan entire document for proper nouns, technical terms, recurring phrases Build session glossary : Merge extracted terms with loaded glossaries, establish consistent translations Split into chunks : Use ${BUN_X} {baseDir}/scripts/main.ts <file> [--max-words <chunk_max_words>] [--output-dir <output-dir>] Parses markdown blocks (headings, paragraphs, lists, code blocks, tables, etc.) Splits at markdown block boundaries to preserve structure If a single block exceeds the threshold, falls back to line splitting, then word splitting Assemble translation prompt : Main agent reads 01-analysis.md (if exists) and assembles shared context using Part 1 of references/subagent-prompt-template.md — inlining: target style, content background, merged glossary, and translation challenges Save as 02-prompt.md in the output directory (shared context only, no task instructions) Draft translation via subagents (if Agent tool available): Spawn one subagent per chunk , all in parallel (Part 2 of the template) Each subagent reads 02-prompt.md for shared context, receives chunk position info (chunk N of M + brief context of where it sits in the argument), translates its chunk, saves to chunks/chunk-NN-draft.md Consistency is guaranteed by the shared 02-prompt.md (glossary, figurative language mapping, comprehension challenges, source voice, and translation challenges from analysis) If no chunks (content under threshold): spawn one subagent for the entire source file If Agent tool is unavailable, translate chunks sequentially inline using 02-prompt.md Merge : Once all subagents complete, combine translated chunks in order. If chunks/frontmatter.md exists, prepend it. Save as 03-draft.md (refined) or translation.md (normal) All intermediate files (source chunks + translated chunks) are preserved in chunks/ After chunked draft is merged , return control to main agent for critical review, revision, and polish (Step 4). Step 4: Translate & Refine Translation principles (apply to all modes): Rewrite, not translate : Rewrite content into natural, engaging target language as if a skilled native writer composed it from scratch. Quality test: "Does this read like it was originally written in the target language?" Accuracy first : Facts, data, and logic must match the original exactly Natural flow : Use idiomatic target language word order. Break long source sentences into shorter, natural ones. Interpret metaphors and idioms by intended meaning, not word-for-word Terminology : Use standard translations consistently. First occurrence of specialized terms: annotate with original in parentheses Preserve format : Keep all markdown formatting (headings, bold, italic, images, links, code blocks) Proactive interpretation : For jargon or concepts the target audience may lack context for, add concise explanations in bold parentheses （**解释**） . Keep annotations few — only where genuinely needed for comprehension Frontmatter : If source has YAML frontmatter, rename source-metadata fields with source prefix (camelCase: url → sourceUrl , title → sourceTitle , etc.), add translated values as new top-level fields (skip title if body has H1), keep other fields as-is Quick Mode Translate directly → save to translation.md . Apply all translation principles above. Normal Mode Analyze → 01-analysis.md (domain, tone, terminology, translation challenges) Assemble prompt → 02-prompt.md (translation instructions with context, glossary, challenges) Translate (following 02-prompt.md ) → translation.md After completion, prompt user: "Translation saved. To further review and polish, reply 继续润色 or refine ." If user continues, proceed with critical review → revision → polish (same as refined mode Steps 4-6 below), saving 03-draft.md (rename current translation.md ), 04-critique.md , 05-revision.md , and updated translation.md . Refined Mode Full workflow for publication quality. See references/refined-workflow.md for detailed guidelines per step. The subagent (if used in Step 3.1) only handles the initial draft. All subsequent steps (critical review, revision, polish) are handled by the main agent, which may delegate to subagents at its discretion. Steps and saved files (all in output directory): Analyze → 01-analysis.md (domain, tone, terminology, translation challenges) Assemble prompt → 02-prompt.md (translation instructions with inlined context) Draft → 03-draft.md (initial translation with translator's notes; from subagent if chunked) Critical review → 04-critique.md (diagnosis only: accuracy, Europeanized language, strategy execution, expression issues) Revision → 05-revision.md (apply all critique findings to produce revised translation) Polish → translation.md (final publication-quality translation) Each step reads the previous step's file and builds on it. Step 5: Output Final translation is always at translation.md in the output directory. After the final translation is written, do a lightweight image-language pass: Collect image references from the translated article Identify likely text-heavy images such as covers, screenshots, diagrams, charts, frameworks, and infographics If any image likely contains a main text language that does not match the translated article language, proactively remind the user The reminder must be a list only. Do not automatically localize those images unless the user asks Reminder format (use whatever image syntax the article already uses — standard markdown or wikilink): Possible image localization needed: - ![example cover](attachments/example-cover.png): likely still contains source-language text while the article is now in target language - ![example diagram](attachments/example-diagram.png): likely text-heavy framework graphic, check whether labels need translation Display summary: