Agent skill · writing content · onewave-ai
brand-voice-analyzer
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.
Why this skill is useful
Generates a comprehensive brand voice guide based on content analysis, providing specific metrics and standards that the AI wouldn't reliably generate on its own.
What it needs
About 2k tokens when loaded. Last updated 2026-07-15. 242 stars on the source repository.
What this skill does
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 dimension in references/voice-dimensions.md, citing source examples per the standards in references/metrics.md. 6. Present a summary of findings for validation before generating the guide. 7. Generate the complete brand-voice-guide.md following references/guide-template.md. Verify it against that checklist before delivery. 8. Offer to review a sample piece of content against the new guide. Workflow: Review Content 1. Locate or ask for the brand-voice-guide.md. 2. Read the content to be reviewed. 3. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills onewave-ai/brand-voice-analyzer