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voice-matched-content

Extract someone's authentic writing voice from samples, build a complete Voice DNA profile, then generate content that sounds like them — not AI. Covers confidence calibration, energy mapping, transition patterns, audience adaptation, and platform-specific voice tuning. Triggers on: capture my voice, write like me, voice guide, brand voice, sound like me, voice profile, my writing style, content in my voice, doesn't sound like me, too AI.

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Overview

Skill Key
brianrwagner/voice-matched-content-system
Author
brianrwagner
Source Repo
openclaw/skills
Version
-
Source Path
skills/brianrwagner/voice-matched-content-system
Latest Commit SHA
41c69c010b54dbf2bac0e42d18e74209a3ed9d10

Extracted Content

SKILL.md excerpt

# Voice-Matched Content System

The #1 complaint about AI content: "It doesn't sound like me."

This skill fixes that permanently. Not with a one-line tone instruction. With a complete voice operating system that understands HOW someone communicates — their patterns, energy, confidence zones, transitions, and editing instincts.

Built from a real voice extraction methodology refined over 15+ years of brand strategy work.

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## Routing

### ✅ Use This Skill When:
- Someone wants to capture their authentic writing voice
- Content "sounds too AI" and needs to match the creator's real style
- Building a voice guide for consistent content across platforms
- Ghostwriting or creating content on behalf of someone
- User says: "write like me," "capture my voice," "this doesn't sound like me," "make it sound like me," "voice guide," "brand voice"

### ❌ Do NOT Use When:
- Writing generic content with no voice reference → Use standard content skills
- Editing existing copy for grammar/clarity only → Use copy-editing tools
- Creating content strategy (what to write, not how) → Use content strategy skills
- Need a brand messaging framework → Use positioning skills

### Inputs Required:
- **Minimum:** 3 writing samples (blog posts, emails, social posts, transcripts — anything they've written)
- **Better:** 5-10 samples across different contexts (professional, casual, teaching, selling)
- **Best:** Samples + a 5-minute conversation about how they think about communication

### Outputs Produced:
- Complete Voice DNA Profile (reusable across all future content)
- Content generated in their authenticated voice
- Platform-specific voice adaptations (LinkedIn vs X vs email vs proposals)
- Voice consistency checklist for self-editing

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## Phase 1: Voice Extraction

### Step 1: Collect Samples

Ask for 3-10 writing samples. The more variety, the better the profile.

**Good samples:**
- Social posts they're proud of
- Emails they wrote quickly (less filtered = more authentic)
- B...

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