
Voice Extractor
If you've ever tried to get AI to write in someone's specific voice, you know it usually comes out generic or weirdly formal. This extracts the actual patterns from writing samples (emails, Slack messages, transcripts) and builds a documented voice guide with signature phrases, confidence zones, and anti-patterns. It needs at least 500 words to work properly and runs a validation test at the end to catch bad extractions. Three modes: quick snapshot for fast reference, standard full guide for AI training or ghostwriting, and deep mode with rewrites and checklists for onboarding a whole content team. The sample quality assessment is smart about filtering out platform formatting tics and overly polished copy.
- skills.sh installs
- 495
- GitHub stars
- 455
- last updated
- Aug 21, 2026
Install
$ npx -y skills add brianrwagner/ai-marketing-claude-code-skills --skill voice-extractor --agent claude-codeInstalls into .claude/skills of the current project.
Files
Voice Extractor
AI-generated content all sounds the same. The fix isn't better prompts — it's teaching the AI how you actually communicate.
This skill extracts your communication DNA from writing samples and produces a Voice Guide: documented, tested, and ready to use.
Mode
Detect from context or ask: "Quick voice snapshot, full Voice Guide, or full guide with examples?"
| Mode | What you get | Best for |
|---|---|---|
quick | Top 5 voice characteristics + 3 do/don't rules | Fast style reference, single piece |
standard | Full Voice Guide: tone, vocabulary, rhythm, structure | AI training, ghostwriting, brand documentation |
deep | Full Voice Guide + 10 sample rewrites + writing rules checklist + AI training examples | Onboarding writers, building a brand voice system |
Default: standard — use quick if they just need a fast reference. Use deep if they're onboarding a ghostwriter or building a content team.
Context Loading Gates
Before extracting, collect:
Sponsors
Details
- Repository
- github.com/brianrwagner/ai-marketing-claude-code-skills
- Categories
- Documentation, Code Review & Quality, AI & Agent Building, Marketing & SEO
- First seen
- Jun 3, 2026
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