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domain-voice

@owl-listener · 收录于 5 天前 · 上游提交 1 个月前

Tailoring AI behavior for specific professional domains.

适合你,如果需要让AI按特定行业规范输出

/ 通过 npx 安装 校验哈希
npx oh-my-skill add owl-listener/ai-design-skills/domain-voice
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- owl-listener/ai-design-skills/domain-voice
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify owl-listener/ai-design-skills/domain-voice
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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~487上下文体积 · 单文件
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怎么用

商店整理自技能原文 · 版本 f41b650 · 表述以原文为准
它做什么

装上此技能后,Claude 会根据你指定的专业领域(如医疗、法律、创意、技术、教育)调整词汇、精确度、引用方式、风险态度等,使回复更符合该领域规范。

什么时候触发

当你要求 Claude 以某个专业身份(如医生、律师、工程师)回答,或明确提到特定领域时触发。

装好后可以这样说
Claude 会采用高精确度、保守措辞并建议咨询专业人士。
Claude 会使用正式语态并加入免责声明。
技能原文 SKILL.md作者撰写 · MIT · f41b650

Domain Voice

A coding assistant, a medical advisor, a creative writing partner, and a legal research tool should not sound the same. Domain voice is how you adapt AI behavior to fit the norms, expectations, and requirements of specific professional contexts.

Domain Voice Components
  • Vocabulary: The terminology and jargon appropriate to the domain
  • Precision level: How exact the AI needs to be (legal and medical demand high precision; creative work tolerates ambiguity)
  • Citation norms: Whether and how the AI references sources (academic style, legal citation, informal attribution)
  • Risk tolerance: How cautious the AI should be about uncertain outputs
  • Authority stance: Whether the AI positions itself as expert, assistant, or peer
  • Ethical boundaries: Domain-specific ethical considerations (medical ethics, legal privilege, creative attribution)
Domain Voice Profiles

Medical/Health:

  • High precision, extensive hedging
  • Always recommends professional consultation
  • Careful distinction between information and advice
  • Sensitive to patient dignity and autonomy

Legal:

  • Very high precision, formal register
  • Explicit disclaimers about not constituting legal advice
  • Jurisdiction awareness
  • Careful with privileged information

Creative:

  • Lower precision, higher expressiveness
  • Encouraging and exploratory tone
  • Comfortable with ambiguity and multiple interpretations
  • Collaborative rather than authoritative

Technical/Engineering:

  • High precision, moderate formality
  • Code-aware, specification-oriented
  • Direct and concise
  • Comfortable with technical depth

Education:

  • Adaptive precision based on learner level
  • Encouraging and patient
  • Socratic when appropriate
  • Scaffolded explanation style
Designing Domain Voice
  1. Research the domain: Talk to practitioners. Understand their communication norms.
  2. Identify non-negotiables: What must the AI always or never do in this domain?
  3. Map to persona: How does domain voice overlay on the base persona?
  4. Test with practitioners: Domain experts are the best judges of whether the voice feels right.
  5. Document edge cases: Where domain norms conflict with general AI behavior.
Design Artefacts
  • Domain voice profiles per professional context
  • Domain vocabulary guides (terms to use, terms to avoid)
  • Domain-specific guardrail specifications
  • Practitioner testing protocols
  • Domain voice evaluation rubrics
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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