LaunchKit · 2026
Back to Skills

voice-matched-content-system

Extract someone's authentic writing voice from samples, build a complete Voice DNA profile, then generate content.

0
339 downloads
by @brianrwagner

Setup & Installation

openclaw skills install @brianrwagner/voice-matched-content-system

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install voice-matched-content-system

What This Skill Does

Extracts a writer's authentic voice from samples and builds a structured Voice DNA Profile covering sentence architecture, transition phrases, confidence zones, and energy patterns. Uses that profile to generate content that matches how the person actually communicates, with platform-specific adaptations for LinkedIn, X, email, and long-form writing.

Unlike a one-line tone instruction, it builds a reusable Voice DNA Profile that captures transition fingerprints, authority vs. learning zones, and platform-specific adaptations so the voice stays consistent across every piece of content.

When to use it

  • Writing LinkedIn posts that sound like you instead of generic AI
  • Ghostwriting a client's newsletter in their exact voice
  • Briefing a VA to send emails in your style
  • Generating content at scale without losing your personal brand
  • Fixing AI drafts that keep failing your 'sounds like me' check

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Write a LinkedIn post about my new consulting offer — here are 5 past posts I've written

AGENT
  1. 1Reads all 5 samples and extracts 8 Voice DNA dimensions including sentence architecture, transitions, and confidence zones
  2. 2Builds a complete Voice DNA Profile with the user's actual transition phrases and vocabulary fingerprint
  3. 3Identifies the consulting topic as an authority zone and sets confidence calibration accordingly
  4. 4Drafts the LinkedIn post using the user's hook style, signature transitions, and energy level
  5. 5Runs the 5-question Voice Check and applies the user's editing instincts before delivering the final post
OUTPUT

A LinkedIn post written in the user's verified voice, with a reusable Voice DNA Profile they can reference for all future content