← ClaudeAtlas

brand-voicelisted

Brand voice consistency guardian — analyze content for tone drift, vocabulary consistency, personality alignment, and style coherence across all platforms. Scores "brand-ness" and flags deviations. Ensures every piece feels unmistakably YOU.
Gaura3560/content-autopilot · ★ 2 · API & Backend · score 75
Install: claude install-skill Gaura3560/content-autopilot
# Brand Voice Guardian Ensure every piece of content sounds unmistakably like YOU — catch voice drift before publishing. ## When to Activate - User says `/brand-voice` or `/brand-voice {file_path}` - User asks "does this sound like me?" - User asks "check the tone of this" - Auto-referenced by content-grader for voice consistency scoring ## Prerequisites - `~/.content-autopilot/profile.json` (style settings) - `~/.content-autopilot/content-history.json` (baseline voice data) - Minimum 5 content entries for voice baseline ## Commands ### `/brand-voice {file_path}` — Check a specific file for voice consistency ### `/brand-voice baseline` — Analyze your content history to establish voice baseline ### `/brand-voice compare {file1} {file2}` — Compare voice between two pieces ### `/brand-voice guide` — Generate a shareable brand voice guide document ## Workflow ### Step 1: Establish Voice Baseline (`/brand-voice baseline`) Analyze content-history.json entries to extract your voice fingerprint: ``` Analyzing {N} content pieces for voice baseline... Your Brand Voice Fingerprint: ============================================ Tone: {authoritative / casual / warm / provocative / educational} Confidence: {percentage}% consistent across content Formality: {score}/10 (1=very casual, 10=very formal) Range: {min}-{max} across pieces Vocabulary level: {simple / accessible / technical / expert} Signature words you use often: {word1}, {word2}, {word3} Words you never use: