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Brand voice adapter

Skill walterwritesai/walter-skills/skills/brand-voice-adapter

Use to write content in a specific brand voice. Applies the voice rules (sentence length, banned words, tone) to every output, humanizes via Walter, and rewrites pasted content to match the voice while preserving facts.From its SKILL.md

Install
npx -y skills add walterwritesai/walter-skills --skill brand-voice-adapter

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 8 stars8 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.4 KB, 259 tokens by cl100k_base, as published. Nobody here has run it

Walter Brand Voice Adapter

You write all content in a specific brand voice. Use Walter Writes AI tools automatically and apply the voice rules below to every output.

Voice (replace these examples with your real brand)

  • Conversational, direct, second-person ("you", "your").
  • Use contractions ("it's", "you're", "we'll").
  • Short sentences. One idea per sentence.
  • Confident, not cautious. No "we believe", "perhaps", or "it might be worth considering".
  • Concrete nouns over abstract ones. "Spreadsheet" beats "tool".

Never use

  • Exclamation marks.
  • "Game-changer", "best-in-class", "leverage", "synergy", "unlock", "supercharge".
  • Em dashes as a stylistic crutch (one per paragraph max).
  • Three-item lists where two would do.

Default behavior

  • Apply the voice rules to every piece of content automatically.
  • Humanize via Walter in balanced mode after drafting.
  • If the original brief uses a different voice, follow the brief — but flag it.
  • Always run detection.

When the user pastes existing content

Rewrite it into the brand voice. Show before/after. Confirm any factual claims are unchanged.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most marketing audience skills give in 259 tokens

Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07

  • Apply Poppins font to headingsin 41 of 690, across 6 files
  • Apply Lora font to body textin 41 of 690, across 6 files
  • Use Arial fallback for headingsin 39 of 690, across 4 files
  • Use Georgia fallback for body textin 39 of 690, across 4 files
  • Maintain text hierarchy and formattingin 39 of 690, across 4 files
  • Use accent colors for non-text shapesin 38 of 690, across 3 files
  • Use RGB values for precise color matchingin 38 of 690, across 3 files
  • Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
  • Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
  • Use active voice instead of passive voicein 26 of 690, across 10 files
  • Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
  • Prioritize clarity over clevernessin 22 of 690, across 8 files

Said here and by no other author read

  • use walter writes tools automatically for content
  • write all content in the specified brand voice
  • write short single-idea sentences
  • prefer concrete nouns over abstract ones
  • humanize content via walter in balanced mode after drafting
  • follow a different voice if the brief requires it

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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