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competitive-design-intel

Extract competitor brand data and score visual quality across design dimensions.

Updated Aug 27, 2026
Search Tags:#competitive analysis#differentiation#ux auditing#proposal strategy#design quality scoring#design benchmarking#brandfetch
One-click install
npx skills add https://github.com/andersoncollab/design-agent --skill competitive-design-intel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: competitive-design-intel
Source: https://github.com/andersoncollab/design-agent/tree/main/skills/competitive-design-intel
Command: npx skills add https://github.com/andersoncollab/design-agent --skill competitive-design-intel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the challenge of producing credible, repeatable competitor design insights for proposals and redesign planning without relying on subjective impressions.

Core Features & Use Cases

  • Automated competitive analysis workflow: Orchestrates brand research, visual audit scoring, and design critique across typography, color, layout, interaction, and mobile experience.
  • Quantified design quality scoring (DQS): Calculates a 0–100 Design Quality Score using an 8-dimension rubric (typography, color, spacing & layout, components & consistency, motion, accessibility, mobile responsiveness, performance).
  • Actionable intelligence reporting: Produces comparison matrices, differentiation maps, competitor profiles, and prioritized recommendations to justify redesign decisions and positioning strategies.
  • Use cases: client pitching (show advantage), redesign justification (quantify gaps), market positioning (find white space), RFP response, and design audit benchmarking.

Quick Start

Provide 2-5 competitor domains and the project context, and ask for a differentiation-focused intelligence report with a comparison matrix and a DQS breakdown for each competitor.

Frequently Asked Questions about competitive-design-intel

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

FAQPage Schema
How do I benchmark competitor design quality for a client proposal?▼

Benchmark competitor design quality by extracting brand data and scoring visual dimensions across 2-5 competitor sites. This generates a differentiation report with comparison matrices and prioritized recommendations to justify redesign decisions and strengthen client pitches.

What is a Design Quality Score and how does it evaluate UX auditing?▼

A Design Quality Score (DQS) is a 0-100 metric calculated using an 8-dimension weighted rubric covering typography, color, spacing, components, motion, accessibility, mobile responsiveness, and performance. It quantifies UX auditing results to provide repeatable, objective competitor evaluations.

How do I conduct a competitive analysis to find market positioning white space?▼

Conduct competitive analysis by inputting 2-5 competitor domains to receive a differentiation map and competitor profiles. This process applies rubric-based 1-5 scoring with rationale to surface market positioning opportunities and identify white space for your product strategy.

Can I use Brandfetch to automate competitor brand data capture for visual audits?▼

Yes, Brandfetch integrates into the competitive analysis workflow to automate brand data capture. Combined with manual data validation, it extracts the visual assets needed to evaluate design quality and produce comparison matrices for client proposals and redesign justifications.

Does competitive design intelligence work for both web and app redesign justification?▼

Yes, competitive design intelligence applies to both web and app experiences for redesign justification. It evaluates visual quality across predefined design dimensions including mobile responsiveness and accessibility, producing quantified gap analysis to support strategic redesign decisions.

What is the best way to score visual quality across multiple competitor sites?▼

The best way to score visual quality across competitor sites is applying a standardized 1-5 rubric with rationale across 8 design dimensions. This calculates a weighted DQS, ensuring repeatable, credible differentiation insights rather than subjective impressions for RFP responses.

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