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Voice & tone consistency checker

Audits a set of copy samples against a defined brand voice, scoring each piece on four voice dimensions, flagging specific off-brand lines with rewrites, and delivering a consistency scorecard, drift diagnosis, and…

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Purpose

Audit a batch of copy against a brand's defined voice and flag exactly where it drifts off-brand — with line-level rewrites, per-piece scores, and a diagnosis of the systemic patterns causing inconsistency — so every channel and market sounds like the same brand.

When to Use

Invoke this skill when the user asks to:

  • Check whether copy matches their brand voice or tone guidelines
  • Audit content across platforms (web, email, social, ads, product UI) for consistency
  • Compare copy across markets or regions for voice alignment
  • Catch voice drift after adding new writers, agencies, or channels
  • Onboard a new writer or freelancer by showing where their draft misses the brand voice
  • Review a content batch before publishing for on-brand consistency

Inputs Required

Before starting, collect:

  • Copy samples: The pieces to audit — paste text, ideally labeled by channel or market
  • Brand voice definition: Voice attributes, tone guidelines, or a style guide (paste what exists)
  • Voice do's and don'ts: Words/phrases to use, words/phrases to avoid, banned jargon
  • Reference "gold standard" copy: 1–3 examples the brand considers perfectly on-voice
  • Channels/markets represented: Which platforms or regions the samples come from
  • Audit purpose: Pre-publish QA / new-writer onboarding / cross-channel consistency review / voice drift investigation

If no formal voice definition exists, infer a working voice profile from the gold-standard reference copy and state the inferred attributes explicitly before auditing.

Instructions

Step 1: Establish the Voice Baseline

Convert the brand voice inputs into a scorable rubric across four dimensions. Define what "on-brand" looks like for each before touching the samples:

  • Personality: The consistent character (e.g., warm, irreverent, authoritative, plainspoken). What traits should come through in every piece?
  • Vocabulary & Diction: Word choices, reading level, jargon tolerance, contractions, sentence rhythm. What words are signature; what words are banned?
  • Tone Flexibility: How the voice shifts by context (celebratory vs. error message vs. legal) while staying recognizable. What's the acceptable range?
  • Formatting & Mechanics: Punctuation habits, capitalization, emoji use, Oxford comma, sentence-case vs. title-case, exclamation tolerance.

State the baseline in 4–6 bullets so the buyer can see the standard being applied.

Step 2: Score Each Sample on the Four Dimensions

For every copy sample, assign a 1–5 score per dimension (5 = fully on-brand, 1 = clearly off-brand) and an overall score. For each dimension, cite the specific line or word driving the score — never score without evidence.

Scoring anchors:

  • 5 — Indistinguishable from gold-standard copy
  • 4 — On-brand with a minor, cosmetic miss
  • 3 — Recognizably the brand but noticeably inconsistent
  • 2 — Reads like a different brand in places
  • 1 — Off-brand throughout on this dimension

Step 3: Flag Off-Brand Lines with Rewrites

Pull every line scoring the equivalent of 3 or below and present it as a fix. For each flag:

  • Original: The exact off-brand line
  • Issue: Which dimension it violates and why (one sentence, specific)
  • On-brand rewrite: A corrected version that matches the baseline
  • Rule invoked: The voice rule it now satisfies

Prioritize flags: lead with personality and vocabulary violations (they signal a different brand); mechanics/formatting fixes come last.

Step 4: Diagnose the Drift Pattern

Look across all samples for systemic causes, not one-off errors:

  • Channel drift: Does one channel consistently miss (e.g., social is on-voice but product UI is stiff)?
  • Market drift: Does one region's copy read as a different brand?
  • Author drift: Do certain samples cluster around the same mistakes (a likely single author or agency)?
  • Register creep: Is the brand slowly becoming more formal, more hype-y, or more generic over time? Name the single biggest driver of inconsistency and what to fix at the source.

Step 5: Build the Rules-of-Thumb Cheat Sheet

Distill the audit into a one-page reference any writer can apply instantly:

  • 5–8 Always rules (signature moves that make it sound like the brand)
  • 5–8 Never rules (specific words, structures, or habits to avoid)
  • 3–4 When in doubt heuristics for tone decisions

Output Format

  • Structure: Voice baseline → per-sample scorecard table → flagged lines with rewrites → drift diagnosis → cheat sheet
  • Length: 900–1,300 words
  • Format: Scorecard as a table (sample × four dimensions + overall); flags as structured blocks; cheat sheet as Always/Never/When-in-doubt lists
  • Sections: Voice Baseline → Consistency Scorecard → Off-Brand Flags & Rewrites → Drift Diagnosis → Rules-of-Thumb Cheat Sheet
  • Tone: Editorial director reviewing a team's work — direct, specific, constructive; critiques the copy, never hand-waves

Quality Checklist

Before delivering output, verify:

  • [ ] Every sample has a score on all four dimensions plus an overall score
  • [ ] Every score cites a specific line or word as evidence — no scores without proof
  • [ ] Every flagged line includes an original, an issue, and an on-brand rewrite
  • [ ] Rewrites match the stated voice baseline — verify against the gold-standard reference
  • [ ] Drift diagnosis names one primary systemic cause, not just a list of individual errors
  • [ ] Cheat sheet rules are specific to this brand — no generic "be consistent" advice

Notes

  • When no formal style guide exists, the gold-standard reference copy is the most reliable baseline — infer from it rather than guessing at attributes.
  • Voice drift is usually structural, not random: it clusters by channel, author, or market. The scorecard makes the cluster visible.
  • The cheat sheet is often the highest-value output — it prevents future drift, whereas the flags only fix the current batch.
  • Tone flexibility is not a license to break voice: a brand's error message and its launch announcement should still be unmistakably the same brand.

How to use this skill

This file is a Claude Code skill in Anthropic's standard format — markdown with YAML frontmatter at the top.

Installing in Claude Code:

  • ~/.claude/skills/<folder-name>/SKILL.md — auto-loads in every session anywhere on your machine (recommended for skills you'll use across multiple projects)
  • <your-project>/.claude/skills/<folder-name>/SKILL.md — auto-loads only when working in that project (recommended for project-specific skills)

Restart Claude Code or open a new session to register.

Using in Claude.ai, ChatGPT, Gemini, or other AI tools:

  1. Drag this file into a new chat, or copy and paste its contents
  2. Send your task or request as your next message — the AI will apply the skill where it fits

For Claude Code skill details: https://docs.anthropic.com/en/docs/claude-code/skills