onewave-ai/claude-skills/brand-voice-analyzer
Claude Code and agent skill by onewave-ai/claude-skills
- community
Checking that the SKILL.md file is still in the repository.
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.
Install
npx vskill@latest install onewave-ai/claude-skills/brand-voice-analyzerSKILL.md
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 extractreferences/guide-template.md-- required sections, quality standards, and pre-delivery checklist forbrand-voice-guide.mdreferences/review-mode.md-- process and output format for scoring content against a guidereferences/metrics.md-- quantitative and qualitative analysis techniques and citation standardsreferences/edge-cases.md-- handling for thin corpora, multiple voices, regulated industries, rebrands, plus interaction patterns
Workflow: Create a New Voice Guide
- Ask which content sources are available (URLs, files, directories, pasted text).
- Ask about any known brand attributes, values, or existing guidelines.
- 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.
- 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.
- Run the full voice extraction across every dimension in
references/voice-dimensions.md, citing source examples per the standards inreferences/metrics.md. - Present a summary of findings for validation before generating the guide.
- Generate the complete
brand-voice-guide.mdfollowingreferences/guide-template.md. Verify it against that checklist before delivery. - Offer to review a sample piece of content against the new guide.
Workflow: Review Content
- Locate or ask for the
brand-voice-guide.md. - Read the content to be reviewed.
- Run the review process and produce the scored output defined in
references/review-mode.md. - Present findings with actionable, guide-referenced fixes.
Workflow: Update an Existing Guide
- Read the current
brand-voice-guide.md. - Ingest the new content sources and run extraction on the new material.
- Compare findings against the existing guide.
- Propose specific updates with rationale.
- Apply approved changes with Edit.
Output Standards
- Primary output:
brand-voice-guide.md. For multiple brands:brand-voice-guide-[company-name].md. Deliver review output inline unless a file is requested. - Use markdown headers (H1-H4), tables for comparative data, blockquotes for source quotes, code blocks only for literal reproduced text. Bold key terms on first use. No emojis.
Operating Principles
- Never fabricate examples. Every quoted example must come from actual source content.
- Never assert voice attributes without evidence. If the data does not support a conclusion, say so.
- Present findings as observations, not prescriptions, until the user validates them.
- Distinguish voice (consistent: who we are) from tone (shifts by context: how we adapt) in every guide.
- When reviewing, be specific: cite the exact word, phrase, or structure and the guide section it touches.
- Treat the guide as a living document and defer to the user's judgment on subjective calls.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingbrand-voice-analyzer/SKILL.md
Popularity
- Repository stars
- 256
- Repository forks
- 42
- 7-day trend score
- 28
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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