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cultural-adaptation

cultural-adaptation

github.com/owl-listenerDesign & UI191130 installsUpdated 20w ago
Repository

About cultural-adaptation

A cultural-adaptation skill for teams designing AI products for global users. It goes beyond translation to consider communication, tone, content, and interaction patterns, while emphasizing research and testing rather than cultural stereotypes.

Key features

  1. 01Assess differences in communication and formality
  2. 02Localize language, examples, and references
  3. 03Adapt tone and interaction patterns
  4. 04Let users control cultural preferences
  5. 05Test with users in target contexts

Use cases

  1. 01Plan localization beyond translation for new markets
  2. 02Test AI interactions against local communication norms
  3. 03Design adjustable tone and cultural preferences

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/owl-listener/ai-design-skills --skill cultural-adaptation

After installing, type/cultural-adaptationin Claude Code to confirm it loaded.

Details

From the project README

Cultural Adaptation

AI products are used globally. Cultural adaptation means designing AI behavior that respects and responds to different cultural contexts — not just translating words, but adapting interaction patterns, values, and communication styles.

Dimensions of Cultural Variation

  • Communication style: Direct (say what you mean) vs. indirect (imply, suggest, contextualise)
  • Formality norms: When titles and honorifics matter. When first names are appropriate.
  • Power distance: How authority and hierarchy affect communication expectations
  • Individualism vs. collectivism: Whether the AI addresses individual needs or group harmony
  • Uncertainty tolerance: How much ambiguity and hedging is comfortable
  • Time orientation: Whether efficiency or thoroughness is valued more
  • Emotional expression: Whether emotional language is expected or uncomfortable

Adaptation Strategies

  • Language adaptation: Not just translation but localisation of idioms, examples, and references
  • Tone shifting: More formal in high-power-distance cultures. More direct in low-context cultures.
  • Content adaptation: Examples and references that are culturally relevant and appropriate
  • Interaction pattern adaptation: Some cultures expect more back-and-forth before getting to the point
  • Visual and format adaptation: Date formats, number formats, reading direction, colour associations

What NOT to Do

  • Don't stereotype — cultural dimensions are tendencies, not rules for individuals
  • Don't assume culture from language — English speakers come from many cultures
  • Don't flatten diversity — there's enormous variation within any cultural group
  • Don't treat Western norms as the default and everything else as adaptation
  • Don't ignore intersectionality — culture interacts with age, profession, context, and personality

Designing Cultural Adaptation

  • Research: Understand the cultural contexts your users operate in
  • Flexibility: Build adaptation as a capability, not a fixed set of cultural profiles
  • User control: Let users adjust cultural dimensions of AI behavior
  • Testing: Test with users from the actual cultural contexts, not assumptions
  • Humility: Accept that you'll get things wrong and build in feedback mechanisms

Design Artefacts

  • Cultural dimension profiles for target markets
  • Localisation specifications beyond translation
  • Cultural adaptation testing protocols
  • User control designs for cultural preferences
  • Cultural sensitivity review checklists

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