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Claude Code
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Grok
Grok Bot+18 agentsBrand Voice Extractor Pro
Extracts measurable brand voice profiles from writing samples and audits new copy for tonal consistency.
$9.99
Brand Voice Extractor Pro
Example session with this skill installed
Analyze these three email samples and extract my brand voice. Then, rewrite this draft: "We are excited to announce our new feature. It helps you work faster and better. Sign up today."
- Read your context and instructions
- Compiled the brand voice extractor
I have analyzed your three email samples. The voice is characterized by high directness, short declarative sentences, and a specific "problem-first" rhetorical structure.
Brand Voice Profile: The Direct Optimizer
| Metric | Placement | Evidence |
|---|---|---|
| Formality | Low-Medium | Frequent use of contractions and direct "you" address. |
| Rhythm | Staccato | 80% of sentences are under 12 words; no em-dashes. |
| Diction | Concrete | Prefers "tools" over "solutions" and "cost" over "investment." |
| Rhetoric | Challenge | Leads with a failure state before offering the fix. |
Voice Pillars
- Action-Oriented: Use imperatives to start paragraphs.
- Evidence-First: Never claim "better" without citing a specific metric.
- Radical Brevity: Cut all introductory fluff and "we are excited" phrasing.
Revised Draft
"Your team is losing two hours a day to manual data entry. Our new Automated Sync tool eliminates that overhead by mapping fields instantly. Start your trial to reclaim those hours."
Audit Score: 92/100
- Diction (20/20): Removed abstract "faster and better" for "eliminates overhead."
- Rhythm (15/15): Adopted the signature 3-sentence staccato pattern.
- Rhetoric (12/15): Shifted from "We are excited" (Brand-centric) to "Your team is losing" (Audience-centric).
Next steps
- Review the "Avoid List" to ensure future product announcements skip the "excited" trope.
- Apply the "Direct Optimizer" prompt to your next social media campaign.
- Provide two longer-form blog posts to refine the "Channel Variation" rules.
Connects securely to your tools. The creator never sees your data.
About this skill
Generic AI writing often sounds like everyone and no one. This skill converts your existing writing samples into a measurable, evidence-based voice system that eliminates vague descriptors like "professional" or "friendly." It identifies the specific linguistic fingerprint of your brand to ensure every piece of copy remains consistent.
What it does
- Extracts linguistic fingerprints by analyzing sentence rhythm, diction, rhetoric, and formatting patterns across multiple samples.
- Builds voice profiles including a central thesis, behavioral pillars, and trait spectrums grounded in actual data.
- Generates enforceable rules categorized by MUST, PREFER, and AVOID constraints for internal teams or external writers.
- Audits drafts using a 100-point rubric to score voice alignment and identify specific mismatches.
- Rewrites copy to improve brand resonance while strictly preserving the original meaning, offer, and call to action.
How it works
- Analyze samples from 3-10 representative pieces of writing to identify recurring patterns and outliers.
- Define the profile by mapping the brand's relationship with the audience and specific signature moves.
- Apply the rubric to new drafts to generate a diagnostic score and prioritized list of three fixes.
- Deploy a reusable prompt designed for other AI agents to maintain the voice across future conversations.
Frameworks & tools
This skill works with any text-based content and requires no specific software stack. It is compatible with markdown, plain text, and HTML copy.
Why this beats prompting it yourself
Standard prompts rely on adjectives that models interpret differently every time. This skill replaces subjective labels with measurable rules derived from your own data, preventing the "hallucination" of brand personality.
Use cases
- Auditing agency deliverables against a client's historical writing style.
- Creating a definitive voice guide for new marketing hires.
- Scaling content production across multiple channels while maintaining a single identity.
- Refactoring generic AI drafts to sound like a specific, established brand.
Known limitations
Requires 3-10 high-quality samples for high-confidence profiles. It cannot invent brand facts or statistics not present in the source text.
Requires 3-10 writing samples for high-confidence profiles. Cannot invent brand facts or statistics. Quantitative scores are diagnostic estimates, not scientific measurements.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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