brand-voice-analyzer

Solid

Analyzes a company's content to extract and codify their brand voice into a comprehensive style guide. Reads website copy, blog posts, emails, and social media to identify tone, vocabulary patterns, sentence structure, personality traits, and word preferences. Generates a brand-voice-guide.md and reviews new content against it.

AI & Automation 229 stars 38 forks Updated 1 weeks ago MIT

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Quality Score: 89/100

Stars 20%
79
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Brand Voice Analyzer Ingest a company's existing content, reverse-engineer the voice behind it, produce a definitive brand voice guide any writer can follow, and review new content against an established guide. ## Contents - `references/voice-dimensions.md` -- the seven-axis tone spectrum, vocabulary, sentence, personality, audience, and formatting dimensions to extract - `references/guide-template.md` -- required sections, quality standards, and pre-delivery checklist for `brand-voice-guide.md` - `references/review-mode.md` -- process and output format for scoring content against a guide - `references/metrics.md` -- quantitative and qualitative analysis techniques and citation standards - `references/edge-cases.md` -- handling for thin corpora, multiple voices, regulated industries, rebrands, plus interaction patterns ## Workflow: Create a New Voice Guide 1. Ask which content sources are available (URLs, files, directories, pasted text). 2. Ask about any known brand attributes, values, or existing guidelines. 3. Collect the corpus. Pull URLs with WebFetch, locate files with Glob/Read, find public content with WebSearch. Gather website copy, 5-10 blog posts, email campaigns, social posts, sales collateral, and support content. Document each source and its word count. 4. Confirm corpus size. Require at least 3,000 words across 2+ content types. If smaller, flag the limitation and mark affected findings as lower confidence. 5. Run the full voice extraction across every d...

Details

Author
OneWave-AI
Repository
OneWave-AI/claude-skills
Created
9 months ago
Last Updated
1 weeks ago
Language
N/A
License
MIT

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brand-voice-guide

Extract a brand's voice from its real writing and build a structured voice directory a team (or an AI agent) can write from consistently. Harvests existing content — homepage, blog, posts, emails, changelog — into voice-core rules, per-channel guidance, and a writing standard whose Avoid section names the banned words and voice-killing patterns, each grounded in verbatim samples. Interviews the user only to fill what the samples can't answer. Use whenever the user says "brand voice", "voice guide", "tone of voice", "voice and tone", "brand voice guide", "define our voice", "extract our voice", "style guide", "voice standard", or wants to document how their brand sounds so content stays on-brand at scale. Works across industries and channels. Builds the guide; it does not police drafts — that is the job of a separate content-quality-check skill.

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Defines and enforces a consistent brand voice and visual identity across every post and platform. It distills voice into tone attributes, a do/don't lexicon, and rhythm rules, extracts that voice from sample posts, then runs any draft through a pass/fail consistency checklist. Use when the user asks about brand voice, tone, staying "on-brand," "does this sound like me," a style guide, or visual consistency. Pairs with onboarding-brand-brief. Works with any capable model.

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