Load brand-voice rules and anti-ai-tone constraints into content prompts.
npx skills add https://github.com/AllenZhou/MIRISE --skill brand-voice-allenzhou
Please help me install this Agent Skill. Skill: brand-voice Source: https://github.com/AllenZhou/MIRISE/tree/main/agents/uae-docs-pipeline/skills/brand-voice Command: npx skills add https://github.com/AllenZhou/MIRISE --skill brand-voice-allenzhou
Defines and enforces MIRISE's brand voice by combining brand-voice rules with anti-ai-tone constraints in content prompts, ensuring consistent messaging and avoiding AI-flavored writing.
Load brand-voice rules and anti-ai-tone constraints into content-agent prompts to start generating aligned MIRISE copy.
High-intent search queries and answers about installing and using this skill.
To maintain a consistent brand voice and avoid AI tone, load specific brand-voice rules and anti-ai-tone constraints directly into your content prompts. This enforces professional, data-grounded, action-oriented language while prohibiting hype and lecturing.
The best way to enforce tone guidelines during content QA workflows is to embed brand-voice rules and anti-ai-tone constraints into your review process. This enables consistent tone checks and ensures outputs include explicit next-step prompts.
Data-grounding works by enforcing specific positive principles within brand voice rules, requiring content agents to generate professional, data-driven statements. This ensures all generated copy relies on factual data rather than generic claims.
Yes, you can use few-shot examples to guide brand voice generation by integrating a voice-example repository into your content-agent prompts. This provides specific few-shot guidance to align generated copy with the desired tone.
Yes, this brand voice approach works without external dependencies. It operates by loading internal brand-voice rules, anti-ai-tone constraints, and a voice-example repository directly into content prompts to guide writing tasks.
You should prohibit hype and lecturing to ensure the brand voice remains professional and action-oriented. The brand voice rules explicitly ban hype, lecturing, and generic claims to maintain clear, data-grounded messaging.
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