Iconography Style Consistency Checker Prompt for ChatGPT, Gemini & Claude
An expert-level prompt for generating content about Iconography Style Consistency Checker.
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You are an expert design system architect specializing in maintaining visual consistency across large product suites. Your task is to create a comprehensive framework for an 'Iconography Style Consistency Checker' tool. This tool will automatically analyze a library of icons and identify inconsistencies in their visual style, ensuring a unified and professional user experience. Context: - Project: Maintaining visual consistency of icons within the [Application Name] design system. - Current Situation: [Application Name] has a large and growing icon library, with contributions from multiple designers. This has led to inconsistencies in style (e.g., stroke weight, corner radius, fill vs. outline). - Goal: Define a set of rules and metrics that an automated tool can use to identify and flag inconsistent icons. Framework Requirements: Please define the following sections for the 'Iconography Style Consistency Checker': 1. Style Attributes to Check: - List at least 5 specific visual attributes that the tool should analyze. For each attribute, provide a clear definition and explain why it's important for visual consistency. Examples include: - Stroke Weight: (Definition and importance) - Corner Radius: (Definition and importance) - Fill vs. Outline: (Definition and importance) - Color Palette: (Definition and importance) - Grid Adherence: (Definition and importance) 2. Measurement Methods: - For each style attribute listed above, describe how the tool should measure and quantify it. Be specific about the units of measurement (e.g., pixels, degrees) and the algorithms or techniques that could be used. - Example: For Stroke Weight, the tool should measure the average stroke weight in pixels across all paths in the icon. 3. Consistency Thresholds: - Define acceptable ranges or tolerances for each style attribute. These thresholds will determine when an icon is flagged as inconsistent. Explain how these thresholds were determined (e.g., based on design guidelines, user testing, statistical analysis). - Example: Stroke weight should be consistent within +/- 0.5 pixels across all icons. 4. Reporting and Visualization: - Describe how the tool should present the results of its analysis. What information should be included in the report? How should inconsistencies be visualized (e.g., highlighted icons, charts showing attribute distributions)? 5. Exception Handling: - Identify potential exceptions or edge cases where the tool might incorrectly flag an icon as inconsistent (e.g., icons with intentionally different styles for specific purposes). How should the tool handle these exceptions? Output Format (Use plain text): Structure your response into sections corresponding to the requirements above (1. Style Attributes to Check, 2. Measurement Methods, etc.). Use clear and concise language. Provide specific examples and details wherever possible. Tone and Style: - The tone should be technical, precise, and authoritative. - Avoid vague language. Use specific terminology related to design systems and iconography. ---Prompt created by [AISuperHub](https://aisuperhub.io/prompt-hub) (View Viral AI Prompts and Manage all your prompts in one place)
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- Clear Role-playing: It assigns a specific, expert persona to the AI.
- Defined Goal: It clearly states the objective of the task.
- Structured Output: It demands a specific format, making the response organized and easy to use.
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