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:
- The excerpt or element in question (quote the exact copy or name the exact design element)
- The rule it violates (name the specific toolkit rule)
- 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.
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:
- Drag this file into a new chat, or copy and paste its contents
- 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