Design Screenshot Critique

SkillMedia

Critique screenshots and mockups with a first-scan read, prioritized visual findings, system causes, and concrete redesign moves.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Design Screenshot Critique skill

What this skill tells your AI

The instructions your AI receives, as published by contextgo/contextgo in src/process/resources/skills/design-director-pack/skills/design-screenshot-critique/SKILL.md and read by ahel’s review.

Use this skill when the user wants a design readout from screenshots rather than from code or abstract descriptions.

Read ../../references/deliverables.md and ../../references/screenshot-critique-rubric.md before drafting the critique.

Use when

  • The user provides screenshots and asks what is wrong.
  • A surface needs a fast but rigorous design review before more implementation.
  • The team wants screenshot-level critique that still connects to system rules.

Do not use when

  • There is no visible surface to assess.
  • The task is to design from scratch without a current artifact.

Critique failures to avoid

  • treating the screenshot like a mood board instead of a product surface
  • listing small polish nits before naming broken hierarchy
  • ignoring what the first five-second scan tells the user
  • recommending changes that would obviously break the current system

Workflow

1. Capture the first-scan read

State:

  • what this screen appears to do
  • what element wins attention first
  • whether the primary action is obvious

2. Review the hierarchy and scan path

Look for:

  • focal point clarity
  • information chunking
  • action ranking
  • density fit for the screen's job

3. Explain the system causes

Name root causes such as:

  • weak surface hierarchy
  • token drift
  • component inconsistency
  • mixed page lenses
  • unclear state design

4. Recommend the smallest high-value redesign moves

Prioritize moves that improve the whole surface quickly.

5. Preserve the right strengths

Explicitly name what should stay.

Output format

Return:

1. Screenshot read

  • screen purpose
  • first-scan attention pattern

2. Highest-severity issues

  • ordered by severity

3. System causes

  • why the surface looks or feels this way

4. Redesign moves

  • smallest high-value changes first

5. What to preserve

  • stable strengths worth carrying forward

Use together with

  • design-ui-critique-and-polish
  • design-landing-page-art-direction
  • design-product-surface-art-direction
  • design-handoff-brief

Signals

GitHub stars
54
Forks
5
Last commit
May 2026
Advanced
Catalog kind
skill
Gateway key
design-screenshot-critique
Source
github.com/contextgo/contextgo