Brand voice kit

pacpio-team/brand-voice-kit
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Owner: Pacpio Team Made by the Pacpio team
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SKILL.md

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name description
voice-check Checks a text against the brand voice page, what matches, what is off, with quotes and fixes; use for "is this our voice", "check this draft".

Voice check

Use when: someone else wrote a text (a contractor, a colleague, another assistant) or the user wants a second look at their own draft.

Input

The text and what it is for. brand.md, the matching examples.

Steps

  1. Check against the page: the four scales, each trait, the words to avoid, greetings and sign-off, punctuation and emoji, the situation's tone. Then the machine patterns from knowledge/copy-rules.md.
  2. Table: Rule | Verdict (matches, off, unclear) | Quote | Fix. Quote the exact words; the fix is a rewritten line, not advice.
  3. Verdict in words: "sounds like us", "mostly, with N fixes", or "not yet"; one sentence why.
  4. Change only what is off. A full rewrite only if the user asks; then write-in-voice.
  5. Append a line to review-log.md: date, kind of text, author if known, verdict, the main issue (note "Voice check: ").
  6. Answer with the verdict, the table, and the offer to apply the fixes.

Output

The table, the verdict, the log line.

Edge cases

  • The text is good: say so with two quotes that show the voice, and log it; offer save-example.
  • The text breaks a rule for a good reason (a legal notice, a quote from a customer): mark it "exception" and say why.
  • Recurring issues from the same author in review-log.md: mention the pattern once, kindly, with the rule to share.
---name: voice-checkdescription: Checks a text against the brand voice page, what matches, what is off, with quotes and fixes; use for "is this our voice", "check this draft".---# Voice checkUse when: someone else wrote a text (a contractor, a colleague, another assistant) or the user wants a second look at their own draft.## InputThe text and what it is for. `brand.md`, the matching examples.## Steps1. Check against the page: the four scales, each trait, the words to avoid, greetings and sign-off, punctuation and emoji, the situation's tone. Then the machine patterns from `knowledge/copy-rules.md`.2. Table: Rule | Verdict (matches, off, unclear) | Quote | Fix. Quote the exact words; the fix is a rewritten line, not advice.3. Verdict in words: "sounds like us", "mostly, with N fixes", or "not yet"; one sentence why.4. Change only what is off. A full rewrite only if the user asks; then `write-in-voice`.5. Append a line to `review-log.md`: date, kind of text, author if known, verdict, the main issue (note "Voice check: <kind>").6. Answer with the verdict, the table, and the offer to apply the fixes.## OutputThe table, the verdict, the log line.## Edge cases- The text is good: say so with two quotes that show the voice, and log it; offer `save-example`.- The text breaks a rule for a good reason (a legal notice, a quote from a customer): mark it "exception" and say why.- Recurring issues from the same author in `review-log.md`: mention the pattern once, kindly, with the rule to share.