brand-voice

Extract rhythm, compression, capitalization, and CTA rules into a reusable VOICE PROFILE block.

2|Updated Jul 1, 2026
One-click install
npx skills add https://github.com/CDO-07-New/TF4-AIO-03-foresight-lens-final --skill brand-voice-cdo-07-new
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: brand-voice
Source: https://github.com/CDO-07-New/TF4-AIO-03-foresight-lens-final/tree/main/.agents/skills/brand-voice
Command: npx skills add https://github.com/CDO-07-New/TF4-AIO-03-foresight-lens-final --skill brand-voice-cdo-07-new

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill removes the guesswork from matching a real writer's tone, helping you build a reusable voice profile from authentic source material instead of generating generic AI copy.

Core Features & Use Cases

  • Source-Derived Analysis: Extracts rhythm, compression, capitalization, parenthetical habits, question patterns, claim style, and recurring moves from real writing samples.
  • Reusable Voice System: Produces a structured voice profile that downstream content workflows can reuse consistently across channels.
  • Use Case: Use it when you need to write in a founder's, brand's, or team's voice for social posts, launch updates, emails, or product copy without drifting into bland automation.

Quick Start

Use the brand-voice skill to analyze the provided writing samples and produce a concise reusable voice profile.

Frequently Asked Questions about brand-voice

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

FAQPage Schema
How do I analyze writing samples to create a reusable brand voice profile?

To create a reusable brand voice profile, analyze real writing samples to extract rhythm, compression, capitalization, parentheticals, question patterns, and CTA rules into a structured voice profile block for consistent content adaptation.

What writing style elements should I extract for consistent tone adaptation across emails and social posts?

For consistent tone adaptation, extract rhythm, compression, capitalization, parenthetical habits, question use, claim style, preferred moves, banned moves, and CTA rules from source writing to build a structured voice profile.

Can I use source-derived writing analysis to match a founder's voice for product updates?

Yes, source-derived writing analysis builds a voice profile from a founder's authentic writing samples, enabling consistent voice adaptation for product updates, launch notes, emails, and social posts without drifting into generic AI copy.

What's the best way to maintain consistent brand voice across multiple content channels?

The best way to maintain consistent brand voice is producing a reusable voice profile block from real writing samples, capturing specific style and CTA rules that downstream content workflows can apply uniformly across emails, social posts, and product updates.

Do I need real writing samples to build an accurate tone analysis profile?

Yes, real writing samples are required to build an accurate tone analysis profile, as the extraction process relies on authentic source material to identify rhythm, parentheticals, question patterns, and recurring moves rather than generating generic assumptions.

Why does my AI-generated content drift away from my brand's writing style?

AI-generated content drifts because it lacks a structured voice profile, producing generic copy instead of matching your specific rhythm, capitalization, parenthetical habits, and claim style extracted from authentic source writing samples.