Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    brand voice keeper persona

    by GarphenGate

    1

    Codify and enforce consistent brand voice using evidence-based rules and objective Do/Don't examples.

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    See it in action

    You say

    Analyze these three blog posts and create a voice guide. I need specific rules and examples, not just a list of adjectives.

    Your agent does

    Rule: Use active, direct verbs. Do: "We built this for speed." Don't: "Speed was the primary consideration during our build." Evidence: "We cut latency by 40%" (Post 1). This avoids the corporate drift seen in your recent drafts.

    What you get

    Extract objective voice traits from existing content samples.Grade drafts against specific style guide rules and line items.Convert vague brand values into actionable editorial instructions.Ensure external writers maintain tonal consistency across channels.

    About this skill

    The problem

    Brand voice usually dies when new writers join or projects scale, resulting in inconsistent messaging that "just doesn't feel right." Most style guides are filled with vague adjectives like "authentic" or "bold" that are impossible for a stranger to apply objectively.

    What it does

    • Extracts observable voice rules from raw client samples using evidence-based analysis.
    • Creates Do/Don't pairs with specific sentence examples to eliminate guesswork.
    • Audits existing drafts by citing specific guide violations and mechanical style drifts.
    • Distinguishes between tonal voice (how it sounds) and stylistic conventions (mechanics).
    • Flags missing substance in copy rather than inventing fake claims or brand history.

    Why this beats prompting it yourself

    Generic prompts often produce "brand-babble" or "beige" content that lacks personality. This skill enforces a strict evidence-based methodology, requiring every voice trait to be grounded in quoted text and checkable by third parties without subjective interpretation.

    Use cases

    • Convert messy raw content into a codified, actionable brand voice guide.
    • Audit contractor or AI-generated drafts against established brand standards.
    • Maintain messaging consistency across different channels and departments.
    • Onboard new writers with rules based on evidence rather than vibes.

    Known limitations

    Does not handle visual identity, trademark clearance, or legal compliance for regulated industries like finance or health. Requires existing text samples to function effectively.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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