domain-voice
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。
144GitHub stars
~487上下文体积 · 单文件
索引托管
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
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
- Research the domain: Talk to practitioners. Understand their communication norms.
- Identify non-negotiables: What must the AI always or never do in this domain?
- Map to persona: How does domain voice overlay on the base persona?
- Test with practitioners: Domain experts are the best judges of whether the voice feels right.
- 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 →
评论
登录即可评论;带「已验证安装」的,是发布者名下有本店的安装或持有记录。
…