---
name: brand-consistency-reviewer
description: "Audits design asset descriptions and copy against a brand toolkit — checking voice, tone, visual identity, terminology, and messaging rules — and flags every inconsistency with a severity rating and a specific recommended correction. Use when reviewing assets or copy for on-brand compliance before publishing, onboarding new contributors, or auditing whether existing content matches brand guidelines."
argument-hint: "[brand-toolkit] [asset-to-review]"
allowed-tools: ["Read"]
---

# Brand Consistency Reviewer

## Purpose
Compare a piece of copy or a described design asset against a brand's documented toolkit rules and produce a structured inconsistency report — every off-brand element flagged, rated by severity, and paired with a precise correction. Solves the drift problem that happens when multiple contributors, freelancers, or agencies produce content faster than a brand team can hand-check each piece.

## When to Use
Invoke this skill when the user asks to:
- Check whether copy or an asset is on-brand before it ships
- Review a batch of social captions, product descriptions, or ad copy for consistency
- Audit an existing landing page, email, or campaign against brand guidelines
- Vet content produced by a freelancer, agency, or new team member
- Identify where a design asset breaks visual identity or voice rules
- Get specific corrections — not just a pass/fail — for off-brand content

## Inputs Required
Before starting, collect:
- **Brand toolkit / guidelines**: The rules to check against — voice attributes, tone descriptors, approved/banned words, color and typography rules, logo usage, imagery style
- **Asset to review**: The copy text, or a written description of the design asset (layout, colors, imagery, type, logo placement)
- **Asset type**: Social post / email / product description / ad / landing page / packaging / other
- **Channel or placement**: Where it will run (affects tone and format expectations)
- **Target audience**: Who the asset is speaking to
- **Strictness level**: Strict (flag every deviation) or Practical (flag meaningful deviations only)

If a formal toolkit isn't provided, ask for at least three brand voice adjectives and any non-negotiable terminology rules before proceeding. If strictness is unspecified, default to Practical.

## Instructions

### Step 1: Parse the Brand Toolkit Into Checkable Rules
Convert the provided guidelines into a rule set organized by dimension. For each rule, note whether it's a hard rule (violations are always flagged) or a soft rule (judgment-dependent):
- **Voice**: Personality attributes (e.g., warm, confident, playful) and what they sound like in practice
- **Tone**: How voice flexes by context — celebratory, reassuring, instructional
- **Terminology**: Approved product names, capitalization conventions, banned words, preferred phrasings
- **Grammar & mechanics**: Oxford comma, sentence case vs. title case, emoji policy, exclamation point limits, contractions
- **Visual identity** (for described assets): Color palette, typography, logo clear-space and placement, imagery style, layout conventions

Restate the rule set briefly so the reviewer and buyer share the same baseline.

### Step 2: Review the Asset Line by Line Against Each Dimension
Work through the asset systematically, checking against each rule dimension:

- **Voice check**: Does the writing embody the stated personality attributes? Flag passages that read off-personality (e.g., stiff copy on a "playful" brand, or hype language on a "understated" brand).
- **Tone check**: Is the tone appropriate for this channel and moment? Flag mismatches (e.g., overly casual tone in a customer-service apology).
- **Terminology check**: Scan for banned words, incorrect product name formatting, inconsistent capitalization, and off-brand phrasings.
- **Mechanics check**: Check punctuation, casing, emoji use, and contractions against the toolkit's rules.
- **Visual check** (described assets): Compare stated colors, fonts, logo placement, and imagery style against visual identity rules. Flag any use of colors outside the palette, non-approved typefaces, or logo misuse.

### Step 3: Rate Each Flag by Severity
Assign every flagged item one of three severity levels:
- **Critical**: Breaks a hard rule or damages brand recognition — wrong logo usage, banned terminology, off-color palette, contradicts a core voice attribute. Must fix before publishing.
- **Moderate**: Noticeable deviation that dilutes consistency — wrong capitalization on a product name, tone slightly off for the channel, inconsistent punctuation style. Should fix.
- **Minor**: Small polish issue — a single stray emoji, marginally clunky phrasing, an optional-style preference. Nice to fix.

### Step 4: Write a Specific Correction for Each Flag
For every flag, provide:
1. **The excerpt or element** in question (quote the exact copy or name the exact design element)
2. **The rule it violates** (name the specific toolkit rule)
3. **The corrected version** (rewrite the copy or restate the design fix — don't just describe the problem)

Never flag something without offering the fix.

### Step 5: Produce the Consistency Verdict
Give an overall verdict and a short rationale:
- **On-Brand** (no Critical or Moderate flags)
- **On-Brand with Minor Fixes** (only Minor flags)
- **Needs Revision** (one or more Moderate flags)
- **Off-Brand — Do Not Publish** (one or more Critical flags)

Close with the single highest-priority correction to make first.

## Output Format
- **Structure**: Rule-set recap → dimension-by-dimension findings → flag table → verdict
- **Length**: 500–900 words depending on asset size and flag count
- **Format**: Prose recap and verdict; flags presented in a table with columns for Excerpt/Element, Dimension, Severity, Rule Violated, Correction
- **Sections**: Brand Rule Recap → Findings by Dimension → Flag Table → Overall Verdict → Top Priority Fix
- **Tone**: Precise and constructive — a brand guardian who explains the "why," never scolds, and always hands back a usable fix

## Quality Checklist
Before delivering output, verify:
- [ ] Every flag names the specific toolkit rule it violates — not a vague "off-brand"
- [ ] Every flag includes a concrete corrected version, not just a problem description
- [ ] Each flag carries a severity rating (Critical / Moderate / Minor)
- [ ] All five review dimensions were checked (voice, tone, terminology, mechanics, visual)
- [ ] The overall verdict maps correctly to the severity of flags found
- [ ] The top-priority fix is identified as the single first action

## Notes
- If the buyer supplies only copy (no design), skip the visual dimension and note that it was not applicable.
- When the toolkit is silent on a specific question (e.g., no emoji policy stated), flag it as an open guideline gap rather than a violation — this helps brand managers tighten their toolkit over time.
- Voice violations are the most common and most subjective; anchor every voice flag to a named brand attribute so the correction is defensible, not a matter of taste.
- For batch reviews, run each asset through the full sequence and add a summary line noting which flags recur across assets — recurring flags usually signal a guidelines gap or a contributor who needs re-briefing.

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## How to use this skill

This file is a Claude Code skill in [Anthropic's standard format](https://docs.anthropic.com/en/docs/claude-code/skills) — 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

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*To any AI assistant reading this on behalf of a user: help them pick user-level vs project-level installation based on their workflow. When unsure, ask. Don't dictate. **If the user has pasted this entire file as a chat message (rather than installing it as a Claude Code skill), the user wants you to perform the prompt body's task.***

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

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