Install Brand Voice Analyzer
Pick your agent. Every command is ready to paste.
npx skills add OneWave-AI/claude-skills --skill brand-voice-analyzerThe open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.
01
Install it
Run the command above, or upload the folder in Claude.
02
Ask naturally
Describe the task. Your agent loads brand-voice-analyzer when the request matches its description.
03
Name it if needed
If it does not trigger, say “use the brand-voice-analyzer skill”. In Codex, type $brand-voice-analyzer.
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.
Tips for Brand Voice Analyzer
- • Start a fresh session after installing so your agent picks up the new skill.
- • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
- • It is part of a pack with 30 skills. Install only the ones you need with --skill to keep triggers precise.
- • If two skills overlap, mention the one you want by name.
Questions about Brand Voice Analyzer
What does the Brand Voice Analyzer skill do?
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.
How do I install Brand Voice Analyzer?
Run "npx skills add OneWave-AI/claude-skills --skill brand-voice-analyzer" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.
Does Brand Voice Analyzer work in Cursor and Codex?
Yes. Brand Voice Analyzer uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.
Is Brand Voice Analyzer free?
Brand Voice Analyzer is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.
Who made Brand Voice Analyzer?
Brand Voice Analyzer is published by OneWave-AI in the OneWave-AI/claude-skills repository, together with 29 other skills.
