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Grok Bot+18 agentsBrand Voice Extractor
Extract or build a distinct, reusable brand voice profile to ensure AI content stays authentic and on-brand.
$9
Brand Voice Extractor
Example session with this skill installed
I want to extract my brand voice. I'm pasting three of my best newsletter intros below. My brand name is 'DevOps Simplified' and we mainly post on LinkedIn and Substack. [Sample content follows]
- Read your context and instructions
- Compiled the brand voice extractor
I have analyzed the three newsletter intros for DevOps Simplified. The content shows a strong preference for short, punchy sentences and a 'straight-talk' mentor persona. I have processed the rhythm variance and bridge phrases to create your profile.
DevOps Simplified Voice Profile
Generated: 2024-05-24 | Mode: Extract
Voice Summary
Direct, technical, and slightly impatient with complexity. This voice feels like a senior engineer giving you the 'real talk' over coffee. It prioritizes clarity over polish and utility over theory.
Core Personality Traits
- Technical Realism: Focuses on what happens in production, not in documentation.
- Efficiency-Obsessed: Uses short fragments to convey speed and urgency.
- Candid Mentor: Willing to call out 'industry standards' that don't work in practice.
Tone Spectrum
| Dimension | Position | Notes |
|---|---|---|
| Formal ↔ Casual | Casual | Heavy use of contractions and fragments. |
| Serious ↔ Playful | Serious | Low humor, high gravity on system stability. |
| Reserved ↔ Bold | Bold | Makes strong claims about tool choices. |
Vocabulary
USE: Bottleneck, shipping, production-ready, cruft, technical debt, trade-offs, 'in the wild', 'here is the deal'.
AVOID: Revolutionary, seamless, synergy, paradigm, robust, 'at the end of the day', 'please note'.
Jargon level: Translated — Uses high-level technical terms but explains the 'why' immediately.
Rhythm & Structure
Average sentence length: Short (<12 words).
Paragraph style: 1-2 sentences. Maximum whitespace.
Opening moves: Starts with a problem or a common frustration (e.g., 'Your CI pipeline is lying to you.').
Transitions: 'The reality:', 'Here is why:', 'The fix:'.
Example Phrases
On-brand:
- 'Complexity is where uptime goes to die.'
- 'Stop over-engineering your stack. Start shipping.'
- 'The docs say it works; your logs say otherwise.'
Off-brand:
- 'We are pleased to announce our robust new features.' — Too formal and corporate.
- 'Leverage our cutting-edge platform for synergy.' — High density of banned marketing fluff.
Next steps
- Save this profile: Copy the text above into a file named
VOICE-PROFILE.md. - Test a draft: Ask me to 'Write a LinkedIn post about Kubernetes cost optimization using my voice profile.'
- Refine: If the 'mentor' tone feels too aggressive, tell me to shift the 'Warm ↔ Direct' slider.
Connects securely to your tools. The creator never sees your data.
About this skill
Generic AI copy is easy to spot and hard to trust. This skill stops your AI from sounding like every other LLM by extracting a distinct, reusable brand voice profile from your existing content or building one from strategic inputs. It moves beyond vague adjectives to define the literal sentence structures, vocabulary choices, and rhythm patterns that make a voice unique.
What it does
- Extracts voice patterns by analyzing existing samples for rhythm, vocabulary, and structural fingerprints.
- Builds strategic identities from scratch through a targeted 15-question framework covering personality and audience.
- Audits corporate hedging to flag passive voice and generic language that dilutes brand authority.
- Codifies writing mechanics including average sentence length, transition phrases, and signature opening moves.
- Generates reusable profiles formatted as markdown files that can be pasted into any AI prompt for consistent output.
How it works
- Selection: Choose between Extract mode (using 3-5 existing samples) or Build mode (starting from scratch).
- Analysis: The skill scans for tone spectrums, jargon levels, and sentence variance to find your specific "fingerprint."
- Profiling: You receive a structured Markdown profile containing Do/Don't lists, on-brand examples, and specific vocabulary constraints.
- Validation: Use the built-in "Voice Check" and "Test Run" to verify the output sounds authentic before finalizing.
Frameworks & tools
This skill is optimized for Claude Code, Cursor, and GitHub Copilot. It generates standard Markdown (.md) files compatible with any LLM system prompt or project context.
Why this beats prompting it yourself
Most prompts just ask the AI to "sound professional yet friendly," which results in mid-wit corporate fluff. This skill forces the AI to quantify linguistic patterns like bridge phrases and sentence length variance, ensuring the voice is technically replicable, not just a vibe.
Use cases
- Founder Brand Building: Turn a few raw Slack messages or emails into a consistent LinkedIn and newsletter voice.
- Content Scaling: Enable freelance writers or sub-agents to produce copy that matches an established brand style guide.
- Agency Onboarding: Quickly document a new client's voice by analyzing their top-performing historical content.
- Voice Pivot: Strategically shift from a "corporate expert" tone to a "peer guide" tone using the Build mode.
Known limitations
Requires at least 500 words of sample text for accurate extraction. It cannot replicate visual branding or graphic design styles, focusing exclusively on written text patterns.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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