AlphaMoatによると、2026-09時点でtranslationのダウンロード数は4,901、スター数は0で、AIスキル全体5,078件中1,901位、コンテンツ制作では362件中144位です。
| プラットフォーム | インストール数 | ダウンロード数 | スター数 | コメント |
|---|---|---|---|---|
| ClawHub ↗ | 103 | 4901 | - | - |
| SkillHub ↗ | 96 | 4016 | - | — |
プラットフォームごとに集計方法と集計時点が異なります。
対象読者や語調のブリーフ、用語集、スタイルガイド、人手翻訳と機械翻訳の使い分け、翻訳メモリ、品質レビュー、多言語SEOを扱います。顧客向けやブランド上重要な内容には人手レビューを推奨し、草稿と最終稿を区別しています。用語やコンプライアンス要件は、対象市場に詳しい専門家が確認してください。
資料公開日 2026-10-29
スキルのドキュメントをもとに生成した例であり、実際の実行結果ではありません。
2026-09 から集計方法を変更し、同名スキルを作者ごとに分けて集計し、全スキルを対象にしました。破線は変更前の月で、変更後のデータとは直接比較せず、変更をまたぐ増減も計算していません。
| 月 | ダウンロード数 | 前月比 | スター数 |
|---|---|---|---|
| 2026-09 | 4901 | — | - |
| 2026-08 | 4430 | +21.4% | - |
| 2026-07 | 3648 | +26.7% | - |
| 2026-06 | 2879 | +15.8% | - |
| 2026-05 | 2487 | — | - |
| 2026-03 | 979 | — | - |
作者が公開した元のファイルをテキストのまま表示しています。AlphaMoat による編集や審査はしていません。リンクはクリックできません。コマンドは内容を確認してから実行してください。取得日 2026-10-23。
--- name: translation description: When the user wants to translate content, create translation workflows, manage terminology, or optimize translation quality. Also use when the user mentions "translate," "translation," "localization copy," "glossary," "terminology," "style guide translation," "machine translation," "human translation," "TMS," or "multilingual content." For strategy, use localization-strategy. metadata: version: 1.0.1 --- # Content: Translation Guides translation workflow, terminology, style, and quality for multilingual content. Covers when to use human vs machine translation, glossary and style guide creation, and SEO considerations. For i18n implementation, hreflang, and URL structure, see **localization-strategy**.
**When invoking**: On **first use**, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On **subsequent use** or when the user asks to skip, go directly to the main output. ## Scope - **Workflow**: Brief → translate → review - **Terminology**: Glossary creation and management - **Style guide**: Voice, tone, formatting per language - **Human vs MT**: When to use each; post-editing - **Quality**: QA, consistency, SEO - **Market-specific**: Terminology by region ## Initial Assessment **Check for project context first:** If `.claude/project-context.md` or `.cursor/project-context.md` exists, read it for brand voice, target markets, and product terminology. Identify: 1. **Content type**: Product UI, marketing copy, blog, landing page, docs 2. **Target language(s)**: Priority locales 3. **Existing assets**: Glossary, style guide, translation memory (TM) --- ## 1. Translation Workflow ### Brief → Translate → Review | Phase | Purpose | Output | |-------|---------|--------| | **Brief** | Context, audience, tone, glossary reference, style guide | Translator brief document | | **Translate** | First pass; use glossary + TM when available | Draft translation | | **Review** | Native speaker review; consistency, brand voice, SEO | Final translation | ### Translator Brief Include in every project: - **Context**: What the content is for (landing page, product UI, blog) - **Audience**: Target market, user persona - **Tone**: Formal, casual, technical - **Glossary**: Link or attach; mandatory terms - **Style guide**: Reference or key rules - **Constraints**: Character limits (UI), SEO keywords to include naturally ### Content-Type Workflow | Content Type | Approach | Notes | |--------------|----------|-------| | **Product UI** | Glossary-critical; short strings; consistency | Use TM; avoid machine translation | | **Marketing copy** | Brand voice; cultural adaptation | Human translation; see terminology | | **Blog / Article** | SEO; natural keyword placement | Re-research keywords in target language; don't translate keyword lists | | **Landing page** | Conversion-focused; CTA clarity | Human; test localized CTAs | | **Technical docs** | Precision; glossary | TM + glossary; consider MT + post-edit for high volume | --- ## 2. Glossary & Terminology ### Glossary Purpose - **Consistency**: Same term translated the same way across all content - **Brand**: Product names, feature names, approved phrasing - **Compliance**: Safety, legal, regulated terms - **Cost**: Reduces rework; accelerates review ### Glossary Structure | Field | Purpose | |-------|---------| | **Source term** | Original (e.g., English) | | **Target term** | Approved translation | | **Context** | Where it appears; usage note | | **Do not translate** | Brand names, product names (when applicable) | ### Market-Specific Terminology | Term | English | Chinese | Notes | |------|---------|---------|------| | **Generative AI** | Generative AI, GenAI | AIGC (人工智能生成内容) | Use "AIGC" for China; "Generative AI" for English | | **Influencer** | Influencer | KOL (关键意见领袖) | "KOL" common in Chinese marketing | | **User** | User | 用户 | Context-dependent | | **Dashboard** | Dashboard | 控制台, 仪表盘 | Choose one; document in glossary | **Principle**: Don't translate terminology lists; research how target market searches and speaks. See **keyword-research** for multi-language keyword research. --- ## 3. Style Guide (Translation) ### Elements to Define | Element | Purpose | |---------|---------| | **Voice** | Brand personality; formal vs casual | | **Tone** | Varies by content type (support = helpful; marketing = persuasive) | | **Register** | Formal (您) vs informal (你) in languages that distinguish | | **Punctuation** | Quotation marks, spacing (e.g., no space before colon in French) | | **Formatting** | Dates, numbers, units; locale-specific | | **Forbidden** | Terms or phrases to avoid | ### Per-Language Considerations - **Chinese**: Simplified vs Traditional; measure word usage - **German**: Formal (Sie) vs informal (du); compound nouns - **Japanese**: Honorifics; keigo for formal contexts - **Arabic**: RTL; formal vs dialect --- ## 4. Human vs Machine Translation ### When to Use Human Translation | Scenario | Reason | |----------|--------| | **Product UI** | Terminology, UX clarity, brand | | **Marketing copy** | Persuasion, cultural nuance, CTAs | | **Landing pages** | Conversion; tested copy | | **Legal, compliance** | Accuracy, liability | | **Brand-critical** | Taglines, campaign copy | ### When Machine Translation (MT) May Be Acceptable | Scenario | Condition | |----------|-----------| | **High-volume, low-stakes** | Internal docs, user-generated content | | **Draft / triage** | MT + human post-edit (MTPE) | | **Real-time** | Chat, support; with disclaimer | ### Avoid - **Raw MT for product/marketing**: Terminology errors, cultural misfires, poor SEO - **MT without post-edit** for customer-facing content - **Translating keyword lists** instead of re-researching in target language --- ## 5. Translation Memory (TM) & TMS ### Translation Memory - **What**: Stores approved source↔target sentence pairs - **Benefit**: Consistency; reuse; lower cost per word; faster turnaround - **Best practice**: Maintain TM; clean duplicates; align with glossary ### Translation Management System (TMS) - **Use for**: Centralized workflow; glossary + TM integration; vendor management - **When**: Multiple languages; ongoing translation; team collaboration --- ## 6. Quality & SEO ### Quality Checklist - [ ] Glossary terms used correctly - [ ] Style guide followed - [ ] No untranslated strings - [ ] Numbers, dates, units localized - [ ] Character limits respected (UI) - [ ] Native speaker review completed ### SEO for Translated Content - **Keywords**: Re-research in target language; don't translate from source - **Metadata**: Title, description translated; see **title-tag**, **meta-description** - **Hreflang**: Technical implementation in **localization-strategy**; translation produces the content - **Thin content**: Avoid publishing many low-quality translated pages at once; can trigger penalties. See **localization-strategy** Multilingual Risks. --- ## 7. Integration with Localization | Topic | Skill | |-------|-------| | **i18n implementation** | localization-strategy | | **URL structure, hreflang** | localization-strategy | | **Translation workflow, glossary, style** | This skill (translation) | | **Keyword research by market** | keyword-research; localization-strategy | When adding a new locale: create glossary, style guide, then translate. See **localization-strategy** for technical checklist (hreflang, sitemap, metadata). --- ## Output Format - **Translator brief** (context, audience, glossary, style) - **Glossary** additions or updates - **Style guide** notes for target language - **Human vs MT** recommendation - **Quality** checklist ## Related Skills ### Strategy & Technical - **localization-strategy**: i18n, hreflang, URL structure, pricing by market; translation produces content for localized pages - **content-strategy**: Multilingual content planning; avoid thin translations - **content-marketing**: Content types and formats; translation as one channel adaptation ### SEO & Content - **keyword-research**: Multi-language keyword research; don't translate keyword lists - **page-metadata**: Hreflang implementation - **title-tag, meta-description**: Translate metadata per locale - **copywriting**: Source copy to translate; brand voice - **image-optimization**: Localize image filenames for translated pages ### Pages - **article-page-generator**: Article structure; translate with SEO in mind - **landing-page-generator**: Landing page copy; human translation for conversion
文章に残る AI らしさを見つけて取り除き、人が書いたように読める文章にします。
AI が書いた文章の典型的な痕跡を見つけ、意味を保ったまま自然な文章に書き直す文章編集スキルです。
AI が生成した文章の痕跡を見つけて取り除く中国語の編集スキルです。
wechat-search は WeChat の人気記事を検索し、関連度、人気、鮮度で結果を整理します。
公開された短編動画の共有リンクからタイトル、概要、口播テキストを抽出し、改写版も作ります。
humanizer は中国語と英語の文章を自然な表現に整えるための編集ガイドです。
Web 小説の各章をファイルに書き、会話では要約と位置だけを返します。
複数のマーケティング手法をひとつのスキルにまとめ、依頼内容に合うモジュールへ振り分けるスキルです。
データ月:2026-09 · ダウンロード数、スター数、インストール数は公開スキルレジストリ(ClawHub、SkillHub)から月単位で集計しています。詳しくはデータの方法論をご覧ください。