domain-voice

v2026.09.25

Tailoring AI behavior for specific professional domains.

GitHub
安装命令
npx skhub add owl-listener/domain-voice
Markdown
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

  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
发现
标签

此技能尚未发布标签。

版本
最新版本元数据

版本

v2026.09.25

发布时间

2026年9月25日

分类

未分类

许可证

MIT

源路径

claude-plugin/system-behavior-shaping/skills/domain-voice

默认分支

main

最新提交

f41b650

Tree SHA

e9c55ee