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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/owl-listener/ai-design-skills --skill domain-voice- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads domain-voice automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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
FAQ
What does the domain-voice skill do?
Tailoring AI behavior for specific professional domains.
How do I install domain-voice?
Run npx skills add https://github.com/owl-listener/ai-design-skills --skill domain-voice in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/domain-voice/ (personal) or .claude/skills/domain-voice/ (project).
Which AI agents can use domain-voice?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is domain-voice safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains domain-voice?
It is published by owl-listener in owl-listener/ai-design-skills. It has 127 recorded installs.
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