brand-voice-extractorlisted

Analyze a company's published content to extract their brand voice, writing style, and tone guidelines. Reads 10-20 of their best content pieces and produces a brand voice profile covering tone, vocabulary level, sentence structure, formatting patterns, CTAs, and target persona. Useful before writing outreach, content, or campaigns that should match a client's existing voice.
gooseworks-ai/goose-skills · ★ 713 · Data & Documents · score 82

Install: claude install-skill gooseworks-ai/goose-skills

# Brand Voice Extractor Analyze a company's published content to extract their brand voice and writing style. Reads their top content pieces and produces actionable guidelines for matching their voice in future content, outreach, or campaigns. ## Quick Start ``` Extract brand voice for [company]. Use their blog at [url]. ``` Or with content already cataloged: ``` Extract brand voice for [client]. Use the content inventory at clients/[client]/research/content-inventory.json. ``` ## Inputs | Input | Required | Source | |-------|----------|--------| | **Content URLs** | Yes | User provides, or pulled from site-content-catalog output | | **Company name** | Yes | For context in the analysis | | **Number of pages** | No | Default: 15. How many pages to analyze. | ## Process ### Phase 1: Select Content to Analyze If content URLs are provided directly, use those. Otherwise: 1. Read the content inventory from `site-content-catalog` output 2. Select a diverse sample of 10-20 pages, prioritizing: - **Blog posts** (primary voice indicator) - **Landing pages** (marketing voice) - **Case studies** (storytelling voice) - Mix of recent and older content (to detect voice evolution) - Mix of topics (to see consistency across subjects) **Selection heuristic:** - 8-10 blog posts (mix of how-to, opinion, product updates) - 2-3 landing pages (homepage, product page, solutions page) - 2-3 case studies or customer stories (if available) - 1-2 comparison/vs pages (if availab