Brand Voice Extractor
Sample existing marketing copy to produce a voice guide — do/don't, vocabulary, rhythm rules — that new drafts can be checked against.
🧠 Why it works
Brand voice guides written from scratch tend to be aspirational and ignored. Voice guides derived from corpus statistics of what the brand actually publishes describe the real voice — so new writers can match it, and outlier drafts are easy to spot.
⚙️ How it works
- Tokenize and stat the corpus: sentence length distribution, contraction rate, question rate, top bigrams and trigrams. 2. Cluster sentences by topic and ask the LLM to identify the 'most representative' three per cluster — those become Do examples. 3. Compare the brand corpus against a generic-marketing baseline and flag words that are over-represented (brand vocabulary) or under-represented (words the brand avoids). 4. Emit a voice guide with the stats up top, Do/Don't next, and a checklist at the bottom for new drafts.
Description
Input: 10-50 pieces of existing brand copy (blog posts, ads, social). Output: a voice guide with Do and Don't examples pulled from the source material, a vocabulary list of high-frequency brand words and phrases to avoid, and sentence-rhythm rules (average length, contraction frequency, question-to-statement ratio).
Install this skill
A Claude skill is a skill.md file with YAML frontmatter and a markdown body.
Drop the file into your tool of choice — or pick a different format if you use Cursor, Windsurf, Copilot, or something else.
mkdir -p ~/.claude/skills/brand-voice-extractor \
&& curl -L https://aidiveforge.com/skill/brand-voice-extractor.skill-md \
-o ~/.claude/skills/brand-voice-extractor/skill.md
Save to ~/.claude/skills/brand-voice-extractor/skill.md
Recommended Use
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