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Blog Translate

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AgriciDaniel
blog-translate

Translate existing blog posts into one or more target languages with SEO-optimized localization. Produces native-quality translations that preserve markdown structure, frontmatter, schema JSON-LD, image and chart embeds, and evidence-backed explanations. Localizes keywords, meta tags, numbers, dates, currencies, and quote styles per locale. Flags machine-translation artifacts for review. Run BEFORE blog-localize: this handles language conversion; localize handles cultural adaptation after translation completes. Use when user says "translate blog", "blog translate", "uebersetzen", "traduire", "traducir", "translate post", "blog auf Deutsch", "blog en espanol".

Overview

PublisherAgriciDaniel
Repositoryclaude-blog
Skill nameblog-translate
Stars
2.2K
Forks
362
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by AgriciDaniel on GitHub. Read the source before you install it.

Installation

Install the Blog Translate AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AgriciDaniel/claude-blog.git /tmp/claude-blog
mkdir -p .claude/skills
cp -r /tmp/claude-blog/skills/blog-translate .claude/skills/blog-translate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Blog Translate in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Blog Translate on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Blog Translate is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Blog Translate, SEO-Optimized Blog Translation

Translates an existing blog post into one or more target languages. Unlike generic translation, this skill produces SEO-optimized, publication-ready content with localized keywords, meta tags, and culturally correct formatting.

Adapted from claude-blog-multilingual by Chris Mueller (Pro Hub Challenge, March 2026). Original: https://github.com/Chriss54/multilingual-int

Key References

Load on demand:

  • references/translation-rules.md, format preservation, number/date/currency formats per locale, quote handling, quality criteria.
  • references/cultural-adaptation.md, cultural profiles per locale (DACH, Francophone, Hispanic, Japanese, custom). This file is shared with blog-localize (do not duplicate).

Workflow

Phase 1: Input Parsing

  1. Read the source file (markdown, MDX, or HTML) only after resolving it against the project root/current working directory. Reject symlinked paths, traversal outside the root, files over 10 MB, and binary files.
  2. Auto-detect source language. Order of preference:
    • Frontmatter lang field.
    • HTML lang attribute.
    • Content analysis (script, common stop words).
  3. Parse target languages from --to as comma-separated Google-compatible hreflang tags (de, fr, es-MX, ja, pt-BR, zh-Hant). If --to is missing, ask the user once: "Which languages should I translate to? Provide hreflang tags such as de, fr, es-MX, ja, pt-BR."
  4. Normalize every code with the shared multilingual locale rules used by blog-multilingual, blog-localize, and blog-locale-audit: ISO 639-1 language in lowercase, optional ISO 15924 script in title case, optional ISO 3166-1 Alpha-2 region in uppercase. Reject invalid codes with a suggestion (jp becomes "Did you mean ja for Japanese?"). Require a region or explicit neutral mode for ambiguous language-only targets such as es, pt, and zh. If a target equals the normalized source language, skip it with a notice.

Phase 2: Content Analysis

Extract the translatable surface:

  • Frontmatter: title, description, tags, author (only when translatable, e.g. role labels, not personal names).
  • All headings (H1, H2, H3).
  • Body paragraphs.
  • Image alt text and <figcaption> content.
  • Chart <text> and <tspan> content; preserve every SVG attribute (x, y, font-size, fill, transform).
  • FAQ questions and answers.
  • Evidence-backed explanation text.
  • Key Takeaways or summary box.
  • CTA text.
  • Internal-link zone anchor text.

Preserve unchanged:

  • Markdown and HTML structure, tags, attributes.
  • Image URLs, link URLs, frontmatter keys.
  • Executable code fences and inline code. Translate comments only outside executable code, or when the user explicitly asks for localized tutorial comments.
  • Internal-link zone markers ([INTERNAL-LINK: ...]).
  • Source organization names in citations (Gartner, McKinsey, etc.).
  • Person names.
  • Schema JSON-LD blocks (translate user-facing content strings only; never translate Person, Organization, or Brand names, URLs, IDs, @id, or sameAs).

Identify the primary and secondary keywords for Phase 3.

Phase 3: Keyword Localization

For each target language:

  1. Decide whether the source keyword is the established term in the target market. If yes (e.g., "Content Marketing" stays in German), keep it.
  2. If a local equivalent has real search behavior, swap to it.
  3. Apply the same logic to secondary keywords.
  4. Record the mapping. The translator agent uses it to update title, meta description, and H2 headings consistently.

Phase 4: Translation

Spawn the blog-translator agent (via Task) for each target language with:

  • The source content.
  • The keyword localization map from Phase 3.
  • The target language code.
  • Pointer to references/translation-rules.md.
  • Instruction to limit this phase to language, register, natural topical coverage, and formatting. Reserve brand, legal, statistic, and cultural substitutions for blog-localize.

Run agents in parallel when translating into multiple languages.

The agent returns the fully translated post in the same format as the input.

Phase 5: Post-Processing

For each translated version:

  1. Add or update locale frontmatter:
    yaml
    lang: "de"
    translatedFrom: "en"
    translatedDate: "YYYY-MM-DD"
    slug: "wie-man-ki-slop-vermeidet"
  2. Verify structural integrity:
    • Same number of H2 and H3 sections as the original.
    • All images present with translated alt text.
    • All SVG charts present with translated text labels (length-adjusted: DE +30%, FR +15%, JA -20%, others see references/translation-rules.md).
    • FAQ count matches.
    • Evidence-backed explanations from the source remain intact where present.
  3. Save translated files:
    translations/
      {lang}/{localized-slug}.{ext}
    When invoked from blog-multilingual, save into multilingual/{lang}/{localized-slug}.{ext} instead. Before writing, slugify {localized-slug} to lowercase ASCII with only a-z, 0-9, and hyphens, rejecting empty or reserved names. Create the language directory from the normalized hreflang code only. Resolve the final path and require it to stay inside the intended output root; reject symlinked output paths.

Phase 6: Translation-Quality Guardrails

Scan the output for machine-translation artifacts before reporting done:

  • Literal idioms (English idioms transliterated, not adapted).
  • Unnatural word order (SOV translated as SVO into a non-SVO language, or the reverse).
  • Mixed-language sentences (other than established loanwords).
  • Number, date, or currency strings still in source format.
  • Frontmatter strings still in the source language.

Flag every issue inline (file path, line number, fix suggestion). The translator agent should re-pass any flagged passage before delivery.

Phase 7: Delivery

## Translation complete: [Original title]

### Source
- Language: [source]
- File: [source path]

### Translations
| Language | File | Keywords adapted | Status |
|----------|------|------------------|--------|
| de | translations/de/{slug}.md | [N] | ok |
| fr | translations/fr/{slug}.md | [N] | ok |

### Quality checks
- Structural integrity: pass / fail per language
- Meta tags localized: pass / fail per language
- Numbers, dates, currencies formatted per locale: pass / fail
- Keywords localized: [N] keywords adapted
- Machine-translation artifacts flagged: [N] (see notes above)

### Next steps
- Run `/blog localize <file> --locale <code>` for cultural deep-adaptation.
- Run `/blog locale-audit translations/` to verify completeness.
- Use `/blog multilingual` to combine write, translate, localize, hreflang
  in one command.

Error Handling

ScenarioAction
Unsupported language codeSuggest the correct Google-compatible hreflang code
Source equals a targetSkip with "Source is already in [lang]"
File not foundReport error with suggested path
Translator agent timeoutRetry once, then report partial results
Binary or non-text fileReport error, suggest correct file

Cross-References

  • Next step (cultural depth): /blog localize <file> --locale <code>
  • QA sweep across all language versions: /blog locale-audit <directory>
  • One-command pipeline: /blog multilingual <topic> --languages <codes>

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Blog Translate AI skill do?

Translate existing blog posts into one or more target languages with SEO-optimized localization. Produces native-quality translations that preserve markdown structure, frontmatter, schema JSON-LD, image and chart embeds, and evidence-backed explanations. Localizes keywords, meta tags, numbers, dates, currencies, and quote styles per locale. Flags machine-translation artifacts for review. Run BEFORE blog-localize: this handles language conversion; localize handles cultural adaptation after translation completes. Use when user says "translate blog", "blog translate", "uebersetzen", "traduire"...

Why use Blog Translate on TypingMind?

Because you install it once and use it with any model. Blog Translate is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Blog Translate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgriciDaniel/claude-blog/tree/main/skills/blog-translate. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Blog Translate?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Blog Translate?

As many as you like. As long as a model supports skills, you can use Blog Translate with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Blog Translate AI skill free?

Yes. It is published on GitHub by AgriciDaniel under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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