brand-voice

Extract style signals from source writing into reusable VOICE PROFILE schemas.

Updated May 14, 2026
One-click install
npx skills add https://github.com/WUIX69/e-lock --skill brand-voice-wuix69
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: brand-voice
Source: https://github.com/WUIX69/e-lock/tree/main/.agent/.agents/skills/brand-voice
Command: npx skills add https://github.com/WUIX69/e-lock --skill brand-voice-wuix69

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It turns scattered examples of a person's or brand's writing into a durable style system, so downstream content stays consistent instead of drifting into generic AI copy.

Core Features & Use Cases

  • Builds a source-derived voice profile from real posts, essays, launch notes, docs, or site copy.
  • Extracts practical style signals like rhythm, compression, capitalization, parentheticals, question use, and claim style.
  • Reuses the profile for X posts, LinkedIn, email, launch updates, threads, and product messaging.
  • Use case: a founder with strong past posts can hand this Skill their best samples and get a compact VOICE PROFILE that other writing workflows can apply.

Quick Start

Ask the skill to analyze your best source samples and return a reusable voice profile in the VOICE PROFILE schema.

Frequently Asked Questions about brand-voice

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a reusable brand voice profile from existing writing samples?

To build a brand voice profile, provide real source material like past posts or launch notes. The skill extracts practical style signals such as rhythm, compression, and claim style to generate a reusable VOICE PROFILE schema for consistent content adaptation.

What is the best way to keep AI generated social copy consistent with my past posts?

Keeping social copy consistent requires a source-derived voice profile. By extracting specific style signals like parentheticals, capitalization, and question use from your real posts, the profile ensures downstream X and LinkedIn messaging matches your original tone.

Can I apply a voice profile to outbound messaging and launch posts?

Yes, you can apply a voice profile to outbound messaging and launch posts. The extracted profile is designed for reuse across X posts, LinkedIn, email, threads, and product updates whenever tone consistency matters in your content adaptation workflow.

How do I extract writing style signals from real source text?

Extracting writing style signals from real source text involves structured analysis of your samples. The skill identifies practical patterns including rhythm, compression, capitalization, and claim style, returning them in a durable VOICE PROFILE schema for downstream use.

What source material works for creating a voice profile?

Source material for creating a voice profile includes real posts, essays, launch notes, documentation, or site copy. The skill requires source-backed sampling from these materials to accurately extract your rhythm and claim style for the final profile.

Does generating a voice profile require source-backed sampling?

Yes, generating a voice profile requires source-backed sampling. The skill explicitly depends on real source material to extract practical style signals accurately, preventing your downstream content from drifting into generic AI copy.