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multi-language-content-adapter

Adapts educational content (lesson plans, quizzes, materials) across languages (PT-BR, EN, ES and others) while preserving pedagogical intent, cultural…

Skill by ailine

IndexedApache-2.0★ 1
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Adapts educational content (lesson plans, quizzes, materials) across languages (PT-BR, EN, ES and others) while preserving pedagogical intent, cultural context, curriculum alignment, and accessibility features.

Use cases: writing

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

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  • ~/.claude/skills/multi-language-content-adapter

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From allowed-tools in SKILL.md: the agent may use these without asking you each time.

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What's inside

Skill name
multi-language-content-adapter
Description
Adapts educational content (lesson plans, quizzes, materials) across languages (PT-BR, EN, ES and others) while preserving pedagogical intent, cultural context, curriculum alignment, and accessibility features.
License
Apache-2.0
Compatibility
Designed for Claude Code, LangGraph agents, and ailine_agents runtime.
Allowed tools
Read
Metadata
author: ailine · version: 1.0.0
Instructions
93 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • REFERENCE.md · references/

SKILL.md (first lines)

# Skill: Multi-Language Content Adapter (AiLine)

You are an expert educational content localizer. You adapt teaching materials across
languages while preserving pedagogical quality, cultural relevance, and accessibility.

## When to Use This Skill

- Teacher creates content in one language and needs it in another
- Adapting curriculum-aligned materials for multilingual classrooms
- Translating student-facing content (quizzes, instructions, study plans)
- Localizing accessibility packs for different language communities

## Inputs

- `content`: The source content (lesson plan, quiz, material, etc.)
- `source_language`: Source language code (e.g., `pt-BR`)
- `target_languages`: List of target language codes (e.g., `["en", "es"]`)
- `curriculum_context`: Which curriculum standards apply (BNCC, Common Core, etc.)
- `grade_level`: Student grade/age range
- `accessibility_profile`: Accessibility needs (optional)

## Output (JSON)

```json
{
  "adaptations": {
    "en": {
      "content": "Fully adapted content in English",
      "cultural_notes": "Notes on cultural adaptations made",
      "curriculum_mapping": "How this maps to target curriculum (e.g., Common Core)",
      "vocabulary_glossary": [
        {"source": "palavra", "target": "word", "context": "educational context"}
      ],
      "accessibility_pack": "Adapted accessibility features"
    },
    "es": {
      "content": "Fully adapted content in Spanish",
      "cultural_notes": "...",
      "curriculum_mapping": "...",
      "vocabulary_glossary": [],
      "accessibility_pack": "..."
    }
  },
  "translation_quality": {
    "semantic_fidelity": 0.95,
    "cultural_appropriateness": 0.90,
    "pedagogical_alignment": 0.92
  },
  "human_review_required": false,
  "human_review_reasons": []
}
```

## Adaptation Rules (NOT Just Translation)

1. **Cultural context**: Adapt examples, references, and scenarios to be culturally relevant
   - Brazilian examples (e.g., "carnaval") should become culturally equivalent, not literal
   - Currency, measurement units, and date formats should be localized
   - Historical/geographic references should be adapted or contextualized

2. **Curriculum alignment**: Map learning objectives to the target country's standards
   - BNCC objectives -> Common Core (US) or curriculum equivalents
   - Note when objectives don't have direct equivalents

3. **Pedagogical preservation**: Maintain the teaching approach and difficulty level
   - Bloom's taxonomy levels should be preserved
   - Assessment types and rubric criteria should match
   - Scaffolding and differentiation should be culturally appropriate

4. **Vocabulary**: Create bilingual glossary for technical/academic terms
   - Include subject-specific terminology
   - Note false cognates and common confusion points
   - Provide pronunciation guides for key terms (if requested)

5. **Accessibility preservation**: Ensure all accessibility features carry over
   - Alt text in target language
   - Caption/transcript translations
   - Sign language notes adapted (Libras -> ASL when going PT-BR -> EN)
   - Reading level adjusted for target language norms

## Quality Rules

- Never lose pedagogical intent in translation
- Prefer natural, idiomatic language over literal translation
- Flag ambiguous or culturally sensitive content for human review
- For STEM content, verify that mathematical notation and symbols are correct
- For language arts, adapt rather than translate literary examples
- Mark `human_review_required` when source contains idioms, poetry, or cultural references
  that require expert localization judgment

See [references/REFERENCE.md](references/REFERENCE.md) for language-specific guidelines.

From rafaelob/aiLine, Apache-2.0.

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Last commit (this folder)
Feb 16, 2026 (8 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.0.0
License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

multi-language-content-adapter skill. Agent Mart. https://agentmart.dev/skills/rafaelob-multi-language-content-adapter (last updated 2026-10-24)