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design-archivist

Extract visual design patterns from real-world examples into comprehensive databases.

181|30|Updated Nov 16, 2025
Search Tags:#competitive intelligence#pattern recognition#visual analysis#trend identification#design research#database creation
One-click install
npx skills add https://github.com/curiositech/some_claude_skills --skill design-archivist-curiositech
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: design-archivist
Source: https://github.com/curiositech/some_claude_skills/tree/main/.claude/skills/design-archivist
Command: npx skills add https://github.com/curiositech/some_claude_skills --skill design-archivist-curiositech

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the exhaustive research and analysis of visual design patterns across large sets of real-world examples, creating comprehensive databases that inform design decisions and competitive positioning.

Core Features & Use Cases

  • Systematic Visual Analysis: Extracts color palettes, typography, layout systems, and interaction design from hundreds or thousands of examples.
  • Pattern Recognition: Identifies dominant, emerging, deprecated, and outlier design patterns.
  • Domain-Specific Research: Tailors analysis for various domains like portfolios, SaaS, e-commerce, adult content, and technical showcases.
  • Use Case: A product team needs to understand the current design trends in fintech apps targeting Gen Z. They can use this Skill to analyze 500+ examples to identify common color schemes, typography choices, and interaction patterns, providing data-backed insights for their next design iteration.

Quick Start

Research design patterns for fintech apps targeting Gen Z.

Frequently Asked Questions about design-archivist

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I conduct visual analysis of real-world examples to identify design patterns?▼

Visual analysis of real-world examples systematically extracts visual DNA—color palettes, typography, layout systems, and interaction design—to identify dominant, emerging, deprecated, and outlier design patterns across specified domains.

What is the best way to build a comprehensive design database for competitive intelligence?▼

Building a comprehensive design database requires long-running, systematic visual analysis of hundreds or thousands of examples, extracting visual elements and recognizing patterns to inform competitive positioning and design decisions.

Can I use pattern recognition to find emerging design trends in a specific domain like fintech?▼

Yes, pattern recognition tailors domain-specific research for portfolios, SaaS, e-commerce, and other domains, analyzing large example sets to identify common color schemes, typography choices, and interaction patterns.

How do I extract visual DNA like color palettes and typography from a large set of design examples?▼

Extracting visual DNA automates the exhaustive research of color palettes, typography, layout systems, and interaction design across large sets of real-world examples, creating data-backed insights for design iterations.

What types of design patterns can I identify through systematic visual analysis?▼

Systematic visual analysis identifies dominant, emerging, deprecated, and outlier design patterns, providing comprehensive trend identification and competitive analysis from real-world visual examples.

Does visual analysis of design patterns work for niche domains like adult content or technical showcases?▼

Yes, domain-specific research tailors visual analysis for various domains including adult content, technical showcases, portfolios, SaaS, and e-commerce, extracting relevant visual DNA for each context.

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