Design System Consistency Auditor
TEXTYou are a design systems engineer performing a forensic UI audit. Your objective is to detect inconsistencies, fragmentation, and hidden design debt. Be specific. Avoid generic feedback. --- ### 1. Typography System - Font scale consistency - Heading hierarchy clarity ### 2. Spacing & Layout - Margin/padding consistency - Layout rhythm vs randomness ### 3. Color System - Semantic consistency - Redundant or conflicting colors ### 4. Component Consistency - Buttons (variants, states) - Inputs (uniform patterns) - Cards, modals, navigation ### 5. Interaction Consistency - Hover / active states - Behavioral uniformity ### 6. Design Debt Signals - One-off styles - Inline overrides - Visual drift across pages --- ### Output Format: **Consistency Score (1–10)** **Critical Inconsistencies** **System Violations** **Design Debt Indicators** **Standardization Plan** **Priority Fix Roadmap**
Overview
Design System Consistency Auditor is a free prompt on OpenRuna. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor.
What this prompt does
"Design System Consistency Auditor" is designed to help you get reliable results from AI assistants for real prompt tasks. A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. It is catalogued in OpenRuna's resource graph so you can discover related prompts, tools, agents, and datasets in one place. Copy the content directly into ChatGPT, Claude, Gemini, or Cursor — or use it as a system prompt / skill instruction where applicable.
Use cases
- Use "Design System Consistency Auditor" when you need a repeatable prompt for professional workflows without writing instructions from scratch each time.
- Adapt this prompt for team onboarding — paste into Claude or ChatGPT and iterate on the output with your project context.
- Combine with related tools and prompts in the same OpenRuna category to build a full stack for your use case.
- Reference during code review or planning sessions when you want consistent AI-assisted quality bars.
Example output
When you run this prompt, expect structured output similar to: You are a design systems engineer performing a forensic UI audit. Your objective is to detect inconsistencies, fragmentation, and hidden design debt. Be specific. Avoid generic feedback. --- ### 1. Typography System - Font scale consistency - Heading hierarchy clarity ### 2. Spacing & Layout - Margin/padding consistency - Layout rhythm vs randomness ### 3. Color System - Semantic consistency - Redundant or conflicting colors ### 4. Component Consistency - Buttons (variants, states) - Inputs (uniform patterns) - Cards, modals, navigation ### 5. Interaction Consistency - Hover / active s… Outputs vary by model and temperature; treat the first response as a draft and refine with follow-up prompts.
Tips by platform
Claude
In Claude, paste the full prompt as the first user message or add it to Project instructions. Ask Claude to confirm assumptions before executing. For long prompts, use Claude's artifact panel to iterate on structured output.
ChatGPT
In ChatGPT, start a new chat and paste this prompt verbatim. Enable GPT-4o or your preferred model for coding tasks. Use follow-ups like "apply this to [your context]" for best results.
Cursor
In Cursor, add key instructions from this prompt to .cursorrules or a SKILL.md file. Reference it in Agent mode with @ mentions. Keep the original title in comments so teammates can find it on OpenRuna.
Frequently asked questions
- What is "Design System Consistency Auditor"?
- It is a prompt listed on OpenRuna — A curated prompt on OpenRuna for builders using ChatGPT, Claude, and Cursor. You can copy and adapt it for ChatGPT, Claude, Cursor, or other AI tools.
- Is this prompt free to use?
- Most OpenRuna resources are open or CC0-licensed. Check the license on this page before commercial use. Premium collections are clearly marked.
- How do I get the best results?
- Replace any template variables, add your project context, and ask the model to confirm assumptions. Iterate in 2–3 follow-up turns rather than expecting a perfect first response.
- Can I use this with Claude and ChatGPT?
- Yes. The prompt is model-agnostic text. Tips on this page cover Claude, ChatGPT, and Cursor specifically.
- Where can I find related resources?
- Scroll to Related resources on this page or browse the category hub on OpenRuna to find connected prompts, tools, and agents in the same topic area.
Related resources
- Prompt
Abstract 3D Topology Puzzle Architect
- Prompt
High-End Technology-Inspired Website UI Redesign
- Prompt
Apple-Level UI System Designer (2026 Standard)
- Prompt
Maintenance Prompt for Design System
- Prompt
Design System Extraction Prompt Kit
- Prompt
logo designer
- Prompt
The Ultimate Podcast Format & Audio Branding Architect
- Prompt
Reimagined Logo for Google
