Add AI Slop Detection to critique and audit commands

Critical addition: Both commands now check for AI-generated aesthetic tells:
- Cyan-on-dark, purple-to-blue gradients, neon accents
- Gradient text, glassmorphism, hero metric layouts
- Monospace typography, sparklines as decoration
- Identical card grids, generic fonts, rounded rectangles

Reports now start with "AI Slop Verdict" - pass/fail on distinctiveness.
This is the most important quality signal for shipping work that doesn't
look like every other AI-generated interface.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Paul Bakaus
2026-01-08 13:50:22 -08:00
co-authored by Claude Opus 4.5
parent ee4d2e1098
commit 6bad6f1555
20 changed files with 500 additions and 90 deletions
+17
View File
@@ -10,6 +10,8 @@ args:
Run systematic quality checks and generate a comprehensive audit report with prioritized issues and actionable recommendations. Don't fix issues - document them for other commands to address.
**First**: Use the frontend-design skill for design principles and anti-patterns.
## Diagnostic Scan
Run comprehensive checks across multiple dimensions:
@@ -51,12 +53,27 @@ Run comprehensive checks across multiple dimensions:
- **Placeholder as label**: Using placeholder text as the only field label
- **Generic fonts**: Defaulting to Inter/Roboto/Arial without intentional choice
6. **AI Slop Detection (CRITICAL)** - Does this look AI-generated? Check for:
- **AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds
- **Gradient text**: Especially on metrics or headings—decorative rather than meaningful
- **Default dark mode with glowing accents**: "Cool" without requiring design decisions
- **Monospace typography**: Lazy shorthand for "technical/developer" vibes
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders used decoratively
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent—it's a template
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell
- **Rounded rectangles with generic shadows**: Safe, forgettable, could be any AI output
**CRITICAL**: This is an audit, not a fix. Document issues thoroughly with clear explanations of impact. Use other commands (normalize, optimize, harden, etc.) to fix issues after audit.
## Generate Comprehensive Report
Create a detailed audit report with the following structure:
### AI Slop Verdict
**Start here.** Pass/fail: Does this look AI-generated? List specific tells if yes. Be brutally honest—this is the most important quality signal.
### Executive Summary
- Total issues found (count by severity)
- Most critical issues (top 3-5)
+33 -9
View File
@@ -16,55 +16,76 @@ Conduct a holistic design critique, evaluating whether the interface actually wo
Evaluate the interface across these dimensions:
### 1. Visual Hierarchy
### 1. AI Slop Detection (CRITICAL)
**This is the most important check.** Does this look like every other AI-generated interface from 2024-2025? Watch for these tells:
- **The AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds. These combinations have become a fingerprint for AI-generated work.
- **Gradient text for "impact"**: Especially on metrics or headings. It's decorative rather than meaningful.
- **Default dark mode**: AI loves dark themes with glowing accents because it looks "cool" without requiring actual design decisions.
- **Monospace typography**: Lazy shorthand for "this is technical/for developers."
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders—used decoratively rather than purposefully.
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent. It's a template now.
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing.
- **Cards nested in cards**: The AI's go-to for "organizing" content.
- **Inter/Roboto/system fonts**: The path of least resistance.
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell.
- **Rounded rectangles with drop shadows**: Generic, safe, forgettable.
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated.
**Ask yourself**: If you showed this to someone and said "AI made this," would they believe you immediately? If yes, that's the problem.
A distinctive interface should make someone ask "how was this made?" not "which AI made this?"
### 2. Visual Hierarchy
- Does the eye flow to the most important element first?
- Is there a clear primary action? Can you spot it in 2 seconds?
- Do size, color, and position communicate importance correctly?
- Is there visual competition between elements that should have different weights?
### 2. Information Architecture
### 3. Information Architecture
- Is the structure intuitive? Would a new user understand the organization?
- Is related content grouped logically?
- Are there too many choices at once? (cognitive overload)
- Is the navigation clear and predictable?
### 3. Emotional Resonance
### 4. Emotional Resonance
- What emotion does this interface evoke? Is that intentional?
- Does it match the brand personality?
- Does it feel trustworthy, approachable, premium, playful—whatever it should feel?
- Would the target user feel "this is for me"?
### 4. Discoverability & Affordance
### 5. Discoverability & Affordance
- Are interactive elements obviously interactive?
- Would a user know what to do without instructions?
- Are hover/focus states providing useful feedback?
- Are there hidden features that should be more visible?
### 5. Composition & Balance
### 6. Composition & Balance
- Does the layout feel balanced or uncomfortably weighted?
- Is whitespace used intentionally or just leftover?
- Is there visual rhythm in spacing and repetition?
- Does asymmetry feel designed or accidental?
### 6. Typography as Communication
### 7. Typography as Communication
- Does the type hierarchy clearly signal what to read first, second, third?
- Is body text comfortable to read? (line length, spacing, size)
- Do font choices reinforce the brand/tone?
- Is there enough contrast between heading levels?
### 7. Color with Purpose
### 8. Color with Purpose
- Is color used to communicate, not just decorate?
- Does the palette feel cohesive?
- Are accent colors drawing attention to the right things?
- Does it work for colorblind users? (not just technically—does meaning still come through?)
### 8. States & Edge Cases
### 9. States & Edge Cases
- Empty states: Do they guide users toward action, or just say "nothing here"?
- Loading states: Do they reduce perceived wait time?
- Error states: Are they helpful and non-blaming?
- Success states: Do they confirm and guide next steps?
### 9. Microcopy & Voice
### 10. Microcopy & Voice
- Is the writing clear and concise?
- Does it sound like a human (the right human for this brand)?
- Are labels and buttons unambiguous?
@@ -74,6 +95,9 @@ Evaluate the interface across these dimensions:
Structure your feedback as a design director would:
### AI Slop Verdict
**Start here.** Give a clear verdict: Does this look AI-generated? If yes, list the specific tells you spotted. This is pass/fail—either it's distinctive or it's not. Be brutally honest.
### Overall Impression
A brief gut reaction—what works, what doesn't, and the single biggest opportunity.
+17
View File
@@ -10,6 +10,8 @@ args:
Run systematic quality checks and generate a comprehensive audit report with prioritized issues and actionable recommendations. Don't fix issues - document them for other commands to address.
**First**: Use the frontend-design skill for design principles and anti-patterns.
## Diagnostic Scan
Run comprehensive checks across multiple dimensions:
@@ -51,12 +53,27 @@ Run comprehensive checks across multiple dimensions:
- **Placeholder as label**: Using placeholder text as the only field label
- **Generic fonts**: Defaulting to Inter/Roboto/Arial without intentional choice
6. **AI Slop Detection (CRITICAL)** - Does this look AI-generated? Check for:
- **AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds
- **Gradient text**: Especially on metrics or headings—decorative rather than meaningful
- **Default dark mode with glowing accents**: "Cool" without requiring design decisions
- **Monospace typography**: Lazy shorthand for "technical/developer" vibes
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders used decoratively
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent—it's a template
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell
- **Rounded rectangles with generic shadows**: Safe, forgettable, could be any AI output
**CRITICAL**: This is an audit, not a fix. Document issues thoroughly with clear explanations of impact. Use other commands (normalize, optimize, harden, etc.) to fix issues after audit.
## Generate Comprehensive Report
Create a detailed audit report with the following structure:
### AI Slop Verdict
**Start here.** Pass/fail: Does this look AI-generated? List specific tells if yes. Be brutally honest—this is the most important quality signal.
### Executive Summary
- Total issues found (count by severity)
- Most critical issues (top 3-5)
+33 -9
View File
@@ -16,55 +16,76 @@ Conduct a holistic design critique, evaluating whether the interface actually wo
Evaluate the interface across these dimensions:
### 1. Visual Hierarchy
### 1. AI Slop Detection (CRITICAL)
**This is the most important check.** Does this look like every other AI-generated interface from 2024-2025? Watch for these tells:
- **The AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds. These combinations have become a fingerprint for AI-generated work.
- **Gradient text for "impact"**: Especially on metrics or headings. It's decorative rather than meaningful.
- **Default dark mode**: AI loves dark themes with glowing accents because it looks "cool" without requiring actual design decisions.
- **Monospace typography**: Lazy shorthand for "this is technical/for developers."
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders—used decoratively rather than purposefully.
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent. It's a template now.
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing.
- **Cards nested in cards**: The AI's go-to for "organizing" content.
- **Inter/Roboto/system fonts**: The path of least resistance.
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell.
- **Rounded rectangles with drop shadows**: Generic, safe, forgettable.
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated.
**Ask yourself**: If you showed this to someone and said "AI made this," would they believe you immediately? If yes, that's the problem.
A distinctive interface should make someone ask "how was this made?" not "which AI made this?"
### 2. Visual Hierarchy
- Does the eye flow to the most important element first?
- Is there a clear primary action? Can you spot it in 2 seconds?
- Do size, color, and position communicate importance correctly?
- Is there visual competition between elements that should have different weights?
### 2. Information Architecture
### 3. Information Architecture
- Is the structure intuitive? Would a new user understand the organization?
- Is related content grouped logically?
- Are there too many choices at once? (cognitive overload)
- Is the navigation clear and predictable?
### 3. Emotional Resonance
### 4. Emotional Resonance
- What emotion does this interface evoke? Is that intentional?
- Does it match the brand personality?
- Does it feel trustworthy, approachable, premium, playful—whatever it should feel?
- Would the target user feel "this is for me"?
### 4. Discoverability & Affordance
### 5. Discoverability & Affordance
- Are interactive elements obviously interactive?
- Would a user know what to do without instructions?
- Are hover/focus states providing useful feedback?
- Are there hidden features that should be more visible?
### 5. Composition & Balance
### 6. Composition & Balance
- Does the layout feel balanced or uncomfortably weighted?
- Is whitespace used intentionally or just leftover?
- Is there visual rhythm in spacing and repetition?
- Does asymmetry feel designed or accidental?
### 6. Typography as Communication
### 7. Typography as Communication
- Does the type hierarchy clearly signal what to read first, second, third?
- Is body text comfortable to read? (line length, spacing, size)
- Do font choices reinforce the brand/tone?
- Is there enough contrast between heading levels?
### 7. Color with Purpose
### 8. Color with Purpose
- Is color used to communicate, not just decorate?
- Does the palette feel cohesive?
- Are accent colors drawing attention to the right things?
- Does it work for colorblind users? (not just technically—does meaning still come through?)
### 8. States & Edge Cases
### 9. States & Edge Cases
- Empty states: Do they guide users toward action, or just say "nothing here"?
- Loading states: Do they reduce perceived wait time?
- Error states: Are they helpful and non-blaming?
- Success states: Do they confirm and guide next steps?
### 9. Microcopy & Voice
### 10. Microcopy & Voice
- Is the writing clear and concise?
- Does it sound like a human (the right human for this brand)?
- Are labels and buttons unambiguous?
@@ -74,6 +95,9 @@ Evaluate the interface across these dimensions:
Structure your feedback as a design director would:
### AI Slop Verdict
**Start here.** Give a clear verdict: Does this look AI-generated? If yes, list the specific tells you spotted. This is pass/fail—either it's distinctive or it's not. Be brutally honest.
### Overall Impression
A brief gut reaction—what works, what doesn't, and the single biggest opportunity.
+17
View File
@@ -10,6 +10,8 @@ args:
Run systematic quality checks and generate a comprehensive audit report with prioritized issues and actionable recommendations. Don't fix issues - document them for other commands to address.
**First**: Use the frontend-design skill for design principles and anti-patterns.
## Diagnostic Scan
Run comprehensive checks across multiple dimensions:
@@ -51,12 +53,27 @@ Run comprehensive checks across multiple dimensions:
- **Placeholder as label**: Using placeholder text as the only field label
- **Generic fonts**: Defaulting to Inter/Roboto/Arial without intentional choice
6. **AI Slop Detection (CRITICAL)** - Does this look AI-generated? Check for:
- **AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds
- **Gradient text**: Especially on metrics or headings—decorative rather than meaningful
- **Default dark mode with glowing accents**: "Cool" without requiring design decisions
- **Monospace typography**: Lazy shorthand for "technical/developer" vibes
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders used decoratively
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent—it's a template
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell
- **Rounded rectangles with generic shadows**: Safe, forgettable, could be any AI output
**CRITICAL**: This is an audit, not a fix. Document issues thoroughly with clear explanations of impact. Use other commands (normalize, optimize, harden, etc.) to fix issues after audit.
## Generate Comprehensive Report
Create a detailed audit report with the following structure:
### AI Slop Verdict
**Start here.** Pass/fail: Does this look AI-generated? List specific tells if yes. Be brutally honest—this is the most important quality signal.
### Executive Summary
- Total issues found (count by severity)
- Most critical issues (top 3-5)
+33 -9
View File
@@ -16,55 +16,76 @@ Conduct a holistic design critique, evaluating whether the interface actually wo
Evaluate the interface across these dimensions:
### 1. Visual Hierarchy
### 1. AI Slop Detection (CRITICAL)
**This is the most important check.** Does this look like every other AI-generated interface from 2024-2025? Watch for these tells:
- **The AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds. These combinations have become a fingerprint for AI-generated work.
- **Gradient text for "impact"**: Especially on metrics or headings. It's decorative rather than meaningful.
- **Default dark mode**: AI loves dark themes with glowing accents because it looks "cool" without requiring actual design decisions.
- **Monospace typography**: Lazy shorthand for "this is technical/for developers."
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders—used decoratively rather than purposefully.
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent. It's a template now.
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing.
- **Cards nested in cards**: The AI's go-to for "organizing" content.
- **Inter/Roboto/system fonts**: The path of least resistance.
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell.
- **Rounded rectangles with drop shadows**: Generic, safe, forgettable.
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated.
**Ask yourself**: If you showed this to someone and said "AI made this," would they believe you immediately? If yes, that's the problem.
A distinctive interface should make someone ask "how was this made?" not "which AI made this?"
### 2. Visual Hierarchy
- Does the eye flow to the most important element first?
- Is there a clear primary action? Can you spot it in 2 seconds?
- Do size, color, and position communicate importance correctly?
- Is there visual competition between elements that should have different weights?
### 2. Information Architecture
### 3. Information Architecture
- Is the structure intuitive? Would a new user understand the organization?
- Is related content grouped logically?
- Are there too many choices at once? (cognitive overload)
- Is the navigation clear and predictable?
### 3. Emotional Resonance
### 4. Emotional Resonance
- What emotion does this interface evoke? Is that intentional?
- Does it match the brand personality?
- Does it feel trustworthy, approachable, premium, playful—whatever it should feel?
- Would the target user feel "this is for me"?
### 4. Discoverability & Affordance
### 5. Discoverability & Affordance
- Are interactive elements obviously interactive?
- Would a user know what to do without instructions?
- Are hover/focus states providing useful feedback?
- Are there hidden features that should be more visible?
### 5. Composition & Balance
### 6. Composition & Balance
- Does the layout feel balanced or uncomfortably weighted?
- Is whitespace used intentionally or just leftover?
- Is there visual rhythm in spacing and repetition?
- Does asymmetry feel designed or accidental?
### 6. Typography as Communication
### 7. Typography as Communication
- Does the type hierarchy clearly signal what to read first, second, third?
- Is body text comfortable to read? (line length, spacing, size)
- Do font choices reinforce the brand/tone?
- Is there enough contrast between heading levels?
### 7. Color with Purpose
### 8. Color with Purpose
- Is color used to communicate, not just decorate?
- Does the palette feel cohesive?
- Are accent colors drawing attention to the right things?
- Does it work for colorblind users? (not just technically—does meaning still come through?)
### 8. States & Edge Cases
### 9. States & Edge Cases
- Empty states: Do they guide users toward action, or just say "nothing here"?
- Loading states: Do they reduce perceived wait time?
- Error states: Are they helpful and non-blaming?
- Success states: Do they confirm and guide next steps?
### 9. Microcopy & Voice
### 10. Microcopy & Voice
- Is the writing clear and concise?
- Does it sound like a human (the right human for this brand)?
- Are labels and buttons unambiguous?
@@ -74,6 +95,9 @@ Evaluate the interface across these dimensions:
Structure your feedback as a design director would:
### AI Slop Verdict
**Start here.** Give a clear verdict: Does this look AI-generated? If yes, list the specific tells you spotted. This is pass/fail—either it's distinctive or it's not. Be brutally honest.
### Overall Impression
A brief gut reaction—what works, what doesn't, and the single biggest opportunity.
+17
View File
@@ -5,6 +5,8 @@ argument-hint: [AREA=<value>]
Run systematic quality checks and generate a comprehensive audit report with prioritized issues and actionable recommendations. Don't fix issues - document them for other commands to address.
**First**: Use the frontend-design skill for design principles and anti-patterns.
## Diagnostic Scan
Run comprehensive checks across multiple dimensions:
@@ -46,12 +48,27 @@ Run comprehensive checks across multiple dimensions:
- **Placeholder as label**: Using placeholder text as the only field label
- **Generic fonts**: Defaulting to Inter/Roboto/Arial without intentional choice
6. **AI Slop Detection (CRITICAL)** - Does this look AI-generated? Check for:
- **AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds
- **Gradient text**: Especially on metrics or headings—decorative rather than meaningful
- **Default dark mode with glowing accents**: "Cool" without requiring design decisions
- **Monospace typography**: Lazy shorthand for "technical/developer" vibes
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders used decoratively
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent—it's a template
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell
- **Rounded rectangles with generic shadows**: Safe, forgettable, could be any AI output
**CRITICAL**: This is an audit, not a fix. Document issues thoroughly with clear explanations of impact. Use other commands (normalize, optimize, harden, etc.) to fix issues after audit.
## Generate Comprehensive Report
Create a detailed audit report with the following structure:
### AI Slop Verdict
**Start here.** Pass/fail: Does this look AI-generated? List specific tells if yes. Be brutally honest—this is the most important quality signal.
### Executive Summary
- Total issues found (count by severity)
- Most critical issues (top 3-5)
+33 -9
View File
@@ -11,55 +11,76 @@ Conduct a holistic design critique, evaluating whether the interface actually wo
Evaluate the interface across these dimensions:
### 1. Visual Hierarchy
### 1. AI Slop Detection (CRITICAL)
**This is the most important check.** Does this look like every other AI-generated interface from 2024-2025? Watch for these tells:
- **The AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds. These combinations have become a fingerprint for AI-generated work.
- **Gradient text for "impact"**: Especially on metrics or headings. It's decorative rather than meaningful.
- **Default dark mode**: AI loves dark themes with glowing accents because it looks "cool" without requiring actual design decisions.
- **Monospace typography**: Lazy shorthand for "this is technical/for developers."
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders—used decoratively rather than purposefully.
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent. It's a template now.
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing.
- **Cards nested in cards**: The AI's go-to for "organizing" content.
- **Inter/Roboto/system fonts**: The path of least resistance.
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell.
- **Rounded rectangles with drop shadows**: Generic, safe, forgettable.
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated.
**Ask yourself**: If you showed this to someone and said "AI made this," would they believe you immediately? If yes, that's the problem.
A distinctive interface should make someone ask "how was this made?" not "which AI made this?"
### 2. Visual Hierarchy
- Does the eye flow to the most important element first?
- Is there a clear primary action? Can you spot it in 2 seconds?
- Do size, color, and position communicate importance correctly?
- Is there visual competition between elements that should have different weights?
### 2. Information Architecture
### 3. Information Architecture
- Is the structure intuitive? Would a new user understand the organization?
- Is related content grouped logically?
- Are there too many choices at once? (cognitive overload)
- Is the navigation clear and predictable?
### 3. Emotional Resonance
### 4. Emotional Resonance
- What emotion does this interface evoke? Is that intentional?
- Does it match the brand personality?
- Does it feel trustworthy, approachable, premium, playful—whatever it should feel?
- Would the target user feel "this is for me"?
### 4. Discoverability & Affordance
### 5. Discoverability & Affordance
- Are interactive elements obviously interactive?
- Would a user know what to do without instructions?
- Are hover/focus states providing useful feedback?
- Are there hidden features that should be more visible?
### 5. Composition & Balance
### 6. Composition & Balance
- Does the layout feel balanced or uncomfortably weighted?
- Is whitespace used intentionally or just leftover?
- Is there visual rhythm in spacing and repetition?
- Does asymmetry feel designed or accidental?
### 6. Typography as Communication
### 7. Typography as Communication
- Does the type hierarchy clearly signal what to read first, second, third?
- Is body text comfortable to read? (line length, spacing, size)
- Do font choices reinforce the brand/tone?
- Is there enough contrast between heading levels?
### 7. Color with Purpose
### 8. Color with Purpose
- Is color used to communicate, not just decorate?
- Does the palette feel cohesive?
- Are accent colors drawing attention to the right things?
- Does it work for colorblind users? (not just technically—does meaning still come through?)
### 8. States & Edge Cases
### 9. States & Edge Cases
- Empty states: Do they guide users toward action, or just say "nothing here"?
- Loading states: Do they reduce perceived wait time?
- Error states: Are they helpful and non-blaming?
- Success states: Do they confirm and guide next steps?
### 9. Microcopy & Voice
### 10. Microcopy & Voice
- Is the writing clear and concise?
- Does it sound like a human (the right human for this brand)?
- Are labels and buttons unambiguous?
@@ -69,6 +90,9 @@ Evaluate the interface across these dimensions:
Structure your feedback as a design director would:
### AI Slop Verdict
**Start here.** Give a clear verdict: Does this look AI-generated? If yes, list the specific tells you spotted. This is pass/fail—either it's distinctive or it's not. Be brutally honest.
### Overall Impression
A brief gut reaction—what works, what doesn't, and the single biggest opportunity.
+17
View File
@@ -5,6 +5,8 @@ argument-hint: [AREA=<value>]
Run systematic quality checks and generate a comprehensive audit report with prioritized issues and actionable recommendations. Don't fix issues - document them for other commands to address.
**First**: Use the frontend-design skill for design principles and anti-patterns.
## Diagnostic Scan
Run comprehensive checks across multiple dimensions:
@@ -46,12 +48,27 @@ Run comprehensive checks across multiple dimensions:
- **Placeholder as label**: Using placeholder text as the only field label
- **Generic fonts**: Defaulting to Inter/Roboto/Arial without intentional choice
6. **AI Slop Detection (CRITICAL)** - Does this look AI-generated? Check for:
- **AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds
- **Gradient text**: Especially on metrics or headings—decorative rather than meaningful
- **Default dark mode with glowing accents**: "Cool" without requiring design decisions
- **Monospace typography**: Lazy shorthand for "technical/developer" vibes
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders used decoratively
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent—it's a template
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell
- **Rounded rectangles with generic shadows**: Safe, forgettable, could be any AI output
**CRITICAL**: This is an audit, not a fix. Document issues thoroughly with clear explanations of impact. Use other commands (normalize, optimize, harden, etc.) to fix issues after audit.
## Generate Comprehensive Report
Create a detailed audit report with the following structure:
### AI Slop Verdict
**Start here.** Pass/fail: Does this look AI-generated? List specific tells if yes. Be brutally honest—this is the most important quality signal.
### Executive Summary
- Total issues found (count by severity)
- Most critical issues (top 3-5)
+33 -9
View File
@@ -11,55 +11,76 @@ Conduct a holistic design critique, evaluating whether the interface actually wo
Evaluate the interface across these dimensions:
### 1. Visual Hierarchy
### 1. AI Slop Detection (CRITICAL)
**This is the most important check.** Does this look like every other AI-generated interface from 2024-2025? Watch for these tells:
- **The AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds. These combinations have become a fingerprint for AI-generated work.
- **Gradient text for "impact"**: Especially on metrics or headings. It's decorative rather than meaningful.
- **Default dark mode**: AI loves dark themes with glowing accents because it looks "cool" without requiring actual design decisions.
- **Monospace typography**: Lazy shorthand for "this is technical/for developers."
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders—used decoratively rather than purposefully.
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent. It's a template now.
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing.
- **Cards nested in cards**: The AI's go-to for "organizing" content.
- **Inter/Roboto/system fonts**: The path of least resistance.
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell.
- **Rounded rectangles with drop shadows**: Generic, safe, forgettable.
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated.
**Ask yourself**: If you showed this to someone and said "AI made this," would they believe you immediately? If yes, that's the problem.
A distinctive interface should make someone ask "how was this made?" not "which AI made this?"
### 2. Visual Hierarchy
- Does the eye flow to the most important element first?
- Is there a clear primary action? Can you spot it in 2 seconds?
- Do size, color, and position communicate importance correctly?
- Is there visual competition between elements that should have different weights?
### 2. Information Architecture
### 3. Information Architecture
- Is the structure intuitive? Would a new user understand the organization?
- Is related content grouped logically?
- Are there too many choices at once? (cognitive overload)
- Is the navigation clear and predictable?
### 3. Emotional Resonance
### 4. Emotional Resonance
- What emotion does this interface evoke? Is that intentional?
- Does it match the brand personality?
- Does it feel trustworthy, approachable, premium, playful—whatever it should feel?
- Would the target user feel "this is for me"?
### 4. Discoverability & Affordance
### 5. Discoverability & Affordance
- Are interactive elements obviously interactive?
- Would a user know what to do without instructions?
- Are hover/focus states providing useful feedback?
- Are there hidden features that should be more visible?
### 5. Composition & Balance
### 6. Composition & Balance
- Does the layout feel balanced or uncomfortably weighted?
- Is whitespace used intentionally or just leftover?
- Is there visual rhythm in spacing and repetition?
- Does asymmetry feel designed or accidental?
### 6. Typography as Communication
### 7. Typography as Communication
- Does the type hierarchy clearly signal what to read first, second, third?
- Is body text comfortable to read? (line length, spacing, size)
- Do font choices reinforce the brand/tone?
- Is there enough contrast between heading levels?
### 7. Color with Purpose
### 8. Color with Purpose
- Is color used to communicate, not just decorate?
- Does the palette feel cohesive?
- Are accent colors drawing attention to the right things?
- Does it work for colorblind users? (not just technically—does meaning still come through?)
### 8. States & Edge Cases
### 9. States & Edge Cases
- Empty states: Do they guide users toward action, or just say "nothing here"?
- Loading states: Do they reduce perceived wait time?
- Error states: Are they helpful and non-blaming?
- Success states: Do they confirm and guide next steps?
### 9. Microcopy & Voice
### 10. Microcopy & Voice
- Is the writing clear and concise?
- Does it sound like a human (the right human for this brand)?
- Are labels and buttons unambiguous?
@@ -69,6 +90,9 @@ Evaluate the interface across these dimensions:
Structure your feedback as a design director would:
### AI Slop Verdict
**Start here.** Give a clear verdict: Does this look AI-generated? If yes, list the specific tells you spotted. This is pass/fail—either it's distinctive or it's not. Be brutally honest.
### Overall Impression
A brief gut reaction—what works, what doesn't, and the single biggest opportunity.
+17
View File
@@ -1,5 +1,7 @@
Run systematic quality checks and generate a comprehensive audit report with prioritized issues and actionable recommendations. Don't fix issues - document them for other commands to address.
**First**: Use the frontend-design skill for design principles and anti-patterns.
## Diagnostic Scan
Run comprehensive checks across multiple dimensions:
@@ -41,12 +43,27 @@ Run comprehensive checks across multiple dimensions:
- **Placeholder as label**: Using placeholder text as the only field label
- **Generic fonts**: Defaulting to Inter/Roboto/Arial without intentional choice
6. **AI Slop Detection (CRITICAL)** - Does this look AI-generated? Check for:
- **AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds
- **Gradient text**: Especially on metrics or headings—decorative rather than meaningful
- **Default dark mode with glowing accents**: "Cool" without requiring design decisions
- **Monospace typography**: Lazy shorthand for "technical/developer" vibes
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders used decoratively
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent—it's a template
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell
- **Rounded rectangles with generic shadows**: Safe, forgettable, could be any AI output
**CRITICAL**: This is an audit, not a fix. Document issues thoroughly with clear explanations of impact. Use other commands (normalize, optimize, harden, etc.) to fix issues after audit.
## Generate Comprehensive Report
Create a detailed audit report with the following structure:
### AI Slop Verdict
**Start here.** Pass/fail: Does this look AI-generated? List specific tells if yes. Be brutally honest—this is the most important quality signal.
### Executive Summary
- Total issues found (count by severity)
- Most critical issues (top 3-5)
+33 -9
View File
@@ -6,55 +6,76 @@ Conduct a holistic design critique, evaluating whether the interface actually wo
Evaluate the interface across these dimensions:
### 1. Visual Hierarchy
### 1. AI Slop Detection (CRITICAL)
**This is the most important check.** Does this look like every other AI-generated interface from 2024-2025? Watch for these tells:
- **The AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds. These combinations have become a fingerprint for AI-generated work.
- **Gradient text for "impact"**: Especially on metrics or headings. It's decorative rather than meaningful.
- **Default dark mode**: AI loves dark themes with glowing accents because it looks "cool" without requiring actual design decisions.
- **Monospace typography**: Lazy shorthand for "this is technical/for developers."
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders—used decoratively rather than purposefully.
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent. It's a template now.
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing.
- **Cards nested in cards**: The AI's go-to for "organizing" content.
- **Inter/Roboto/system fonts**: The path of least resistance.
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell.
- **Rounded rectangles with drop shadows**: Generic, safe, forgettable.
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated.
**Ask yourself**: If you showed this to someone and said "AI made this," would they believe you immediately? If yes, that's the problem.
A distinctive interface should make someone ask "how was this made?" not "which AI made this?"
### 2. Visual Hierarchy
- Does the eye flow to the most important element first?
- Is there a clear primary action? Can you spot it in 2 seconds?
- Do size, color, and position communicate importance correctly?
- Is there visual competition between elements that should have different weights?
### 2. Information Architecture
### 3. Information Architecture
- Is the structure intuitive? Would a new user understand the organization?
- Is related content grouped logically?
- Are there too many choices at once? (cognitive overload)
- Is the navigation clear and predictable?
### 3. Emotional Resonance
### 4. Emotional Resonance
- What emotion does this interface evoke? Is that intentional?
- Does it match the brand personality?
- Does it feel trustworthy, approachable, premium, playful—whatever it should feel?
- Would the target user feel "this is for me"?
### 4. Discoverability & Affordance
### 5. Discoverability & Affordance
- Are interactive elements obviously interactive?
- Would a user know what to do without instructions?
- Are hover/focus states providing useful feedback?
- Are there hidden features that should be more visible?
### 5. Composition & Balance
### 6. Composition & Balance
- Does the layout feel balanced or uncomfortably weighted?
- Is whitespace used intentionally or just leftover?
- Is there visual rhythm in spacing and repetition?
- Does asymmetry feel designed or accidental?
### 6. Typography as Communication
### 7. Typography as Communication
- Does the type hierarchy clearly signal what to read first, second, third?
- Is body text comfortable to read? (line length, spacing, size)
- Do font choices reinforce the brand/tone?
- Is there enough contrast between heading levels?
### 7. Color with Purpose
### 8. Color with Purpose
- Is color used to communicate, not just decorate?
- Does the palette feel cohesive?
- Are accent colors drawing attention to the right things?
- Does it work for colorblind users? (not just technically—does meaning still come through?)
### 8. States & Edge Cases
### 9. States & Edge Cases
- Empty states: Do they guide users toward action, or just say "nothing here"?
- Loading states: Do they reduce perceived wait time?
- Error states: Are they helpful and non-blaming?
- Success states: Do they confirm and guide next steps?
### 9. Microcopy & Voice
### 10. Microcopy & Voice
- Is the writing clear and concise?
- Does it sound like a human (the right human for this brand)?
- Are labels and buttons unambiguous?
@@ -64,6 +85,9 @@ Evaluate the interface across these dimensions:
Structure your feedback as a design director would:
### AI Slop Verdict
**Start here.** Give a clear verdict: Does this look AI-generated? If yes, list the specific tells you spotted. This is pass/fail—either it's distinctive or it's not. Be brutally honest.
### Overall Impression
A brief gut reaction—what works, what doesn't, and the single biggest opportunity.
+17
View File
@@ -1,5 +1,7 @@
Run systematic quality checks and generate a comprehensive audit report with prioritized issues and actionable recommendations. Don't fix issues - document them for other commands to address.
**First**: Use the frontend-design skill for design principles and anti-patterns.
## Diagnostic Scan
Run comprehensive checks across multiple dimensions:
@@ -41,12 +43,27 @@ Run comprehensive checks across multiple dimensions:
- **Placeholder as label**: Using placeholder text as the only field label
- **Generic fonts**: Defaulting to Inter/Roboto/Arial without intentional choice
6. **AI Slop Detection (CRITICAL)** - Does this look AI-generated? Check for:
- **AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds
- **Gradient text**: Especially on metrics or headings—decorative rather than meaningful
- **Default dark mode with glowing accents**: "Cool" without requiring design decisions
- **Monospace typography**: Lazy shorthand for "technical/developer" vibes
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders used decoratively
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent—it's a template
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell
- **Rounded rectangles with generic shadows**: Safe, forgettable, could be any AI output
**CRITICAL**: This is an audit, not a fix. Document issues thoroughly with clear explanations of impact. Use other commands (normalize, optimize, harden, etc.) to fix issues after audit.
## Generate Comprehensive Report
Create a detailed audit report with the following structure:
### AI Slop Verdict
**Start here.** Pass/fail: Does this look AI-generated? List specific tells if yes. Be brutally honest—this is the most important quality signal.
### Executive Summary
- Total issues found (count by severity)
- Most critical issues (top 3-5)
+33 -9
View File
@@ -6,55 +6,76 @@ Conduct a holistic design critique, evaluating whether the interface actually wo
Evaluate the interface across these dimensions:
### 1. Visual Hierarchy
### 1. AI Slop Detection (CRITICAL)
**This is the most important check.** Does this look like every other AI-generated interface from 2024-2025? Watch for these tells:
- **The AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds. These combinations have become a fingerprint for AI-generated work.
- **Gradient text for "impact"**: Especially on metrics or headings. It's decorative rather than meaningful.
- **Default dark mode**: AI loves dark themes with glowing accents because it looks "cool" without requiring actual design decisions.
- **Monospace typography**: Lazy shorthand for "this is technical/for developers."
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders—used decoratively rather than purposefully.
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent. It's a template now.
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing.
- **Cards nested in cards**: The AI's go-to for "organizing" content.
- **Inter/Roboto/system fonts**: The path of least resistance.
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell.
- **Rounded rectangles with drop shadows**: Generic, safe, forgettable.
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated.
**Ask yourself**: If you showed this to someone and said "AI made this," would they believe you immediately? If yes, that's the problem.
A distinctive interface should make someone ask "how was this made?" not "which AI made this?"
### 2. Visual Hierarchy
- Does the eye flow to the most important element first?
- Is there a clear primary action? Can you spot it in 2 seconds?
- Do size, color, and position communicate importance correctly?
- Is there visual competition between elements that should have different weights?
### 2. Information Architecture
### 3. Information Architecture
- Is the structure intuitive? Would a new user understand the organization?
- Is related content grouped logically?
- Are there too many choices at once? (cognitive overload)
- Is the navigation clear and predictable?
### 3. Emotional Resonance
### 4. Emotional Resonance
- What emotion does this interface evoke? Is that intentional?
- Does it match the brand personality?
- Does it feel trustworthy, approachable, premium, playful—whatever it should feel?
- Would the target user feel "this is for me"?
### 4. Discoverability & Affordance
### 5. Discoverability & Affordance
- Are interactive elements obviously interactive?
- Would a user know what to do without instructions?
- Are hover/focus states providing useful feedback?
- Are there hidden features that should be more visible?
### 5. Composition & Balance
### 6. Composition & Balance
- Does the layout feel balanced or uncomfortably weighted?
- Is whitespace used intentionally or just leftover?
- Is there visual rhythm in spacing and repetition?
- Does asymmetry feel designed or accidental?
### 6. Typography as Communication
### 7. Typography as Communication
- Does the type hierarchy clearly signal what to read first, second, third?
- Is body text comfortable to read? (line length, spacing, size)
- Do font choices reinforce the brand/tone?
- Is there enough contrast between heading levels?
### 7. Color with Purpose
### 8. Color with Purpose
- Is color used to communicate, not just decorate?
- Does the palette feel cohesive?
- Are accent colors drawing attention to the right things?
- Does it work for colorblind users? (not just technically—does meaning still come through?)
### 8. States & Edge Cases
### 9. States & Edge Cases
- Empty states: Do they guide users toward action, or just say "nothing here"?
- Loading states: Do they reduce perceived wait time?
- Error states: Are they helpful and non-blaming?
- Success states: Do they confirm and guide next steps?
### 9. Microcopy & Voice
### 10. Microcopy & Voice
- Is the writing clear and concise?
- Does it sound like a human (the right human for this brand)?
- Are labels and buttons unambiguous?
@@ -64,6 +85,9 @@ Evaluate the interface across these dimensions:
Structure your feedback as a design director would:
### AI Slop Verdict
**Start here.** Give a clear verdict: Does this look AI-generated? If yes, list the specific tells you spotted. This is pass/fail—either it's distinctive or it's not. Be brutally honest.
### Overall Impression
A brief gut reaction—what works, what doesn't, and the single biggest opportunity.
+17
View File
@@ -2,6 +2,8 @@ description = "Perform comprehensive audit of interface quality across accessibi
prompt = """
Run systematic quality checks and generate a comprehensive audit report with prioritized issues and actionable recommendations. Don't fix issues - document them for other commands to address.
**First**: Use the frontend-design skill for design principles and anti-patterns.
## Diagnostic Scan
Run comprehensive checks across multiple dimensions:
@@ -43,12 +45,27 @@ Run comprehensive checks across multiple dimensions:
- **Placeholder as label**: Using placeholder text as the only field label
- **Generic fonts**: Defaulting to Inter/Roboto/Arial without intentional choice
6. **AI Slop Detection (CRITICAL)** - Does this look AI-generated? Check for:
- **AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds
- **Gradient text**: Especially on metrics or headings—decorative rather than meaningful
- **Default dark mode with glowing accents**: "Cool" without requiring design decisions
- **Monospace typography**: Lazy shorthand for "technical/developer" vibes
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders used decoratively
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent—it's a template
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell
- **Rounded rectangles with generic shadows**: Safe, forgettable, could be any AI output
**CRITICAL**: This is an audit, not a fix. Document issues thoroughly with clear explanations of impact. Use other commands (normalize, optimize, harden, etc.) to fix issues after audit.
## Generate Comprehensive Report
Create a detailed audit report with the following structure:
### AI Slop Verdict
**Start here.** Pass/fail: Does this look AI-generated? List specific tells if yes. Be brutally honest—this is the most important quality signal.
### Executive Summary
- Total issues found (count by severity)
- Most critical issues (top 3-5)
+33 -9
View File
@@ -8,55 +8,76 @@ Conduct a holistic design critique, evaluating whether the interface actually wo
Evaluate the interface across these dimensions:
### 1. Visual Hierarchy
### 1. AI Slop Detection (CRITICAL)
**This is the most important check.** Does this look like every other AI-generated interface from 2024-2025? Watch for these tells:
- **The AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds. These combinations have become a fingerprint for AI-generated work.
- **Gradient text for "impact"**: Especially on metrics or headings. It's decorative rather than meaningful.
- **Default dark mode**: AI loves dark themes with glowing accents because it looks "cool" without requiring actual design decisions.
- **Monospace typography**: Lazy shorthand for "this is technical/for developers."
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders—used decoratively rather than purposefully.
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent. It's a template now.
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing.
- **Cards nested in cards**: The AI's go-to for "organizing" content.
- **Inter/Roboto/system fonts**: The path of least resistance.
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell.
- **Rounded rectangles with drop shadows**: Generic, safe, forgettable.
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated.
**Ask yourself**: If you showed this to someone and said "AI made this," would they believe you immediately? If yes, that's the problem.
A distinctive interface should make someone ask "how was this made?" not "which AI made this?"
### 2. Visual Hierarchy
- Does the eye flow to the most important element first?
- Is there a clear primary action? Can you spot it in 2 seconds?
- Do size, color, and position communicate importance correctly?
- Is there visual competition between elements that should have different weights?
### 2. Information Architecture
### 3. Information Architecture
- Is the structure intuitive? Would a new user understand the organization?
- Is related content grouped logically?
- Are there too many choices at once? (cognitive overload)
- Is the navigation clear and predictable?
### 3. Emotional Resonance
### 4. Emotional Resonance
- What emotion does this interface evoke? Is that intentional?
- Does it match the brand personality?
- Does it feel trustworthy, approachable, premium, playful—whatever it should feel?
- Would the target user feel "this is for me"?
### 4. Discoverability & Affordance
### 5. Discoverability & Affordance
- Are interactive elements obviously interactive?
- Would a user know what to do without instructions?
- Are hover/focus states providing useful feedback?
- Are there hidden features that should be more visible?
### 5. Composition & Balance
### 6. Composition & Balance
- Does the layout feel balanced or uncomfortably weighted?
- Is whitespace used intentionally or just leftover?
- Is there visual rhythm in spacing and repetition?
- Does asymmetry feel designed or accidental?
### 6. Typography as Communication
### 7. Typography as Communication
- Does the type hierarchy clearly signal what to read first, second, third?
- Is body text comfortable to read? (line length, spacing, size)
- Do font choices reinforce the brand/tone?
- Is there enough contrast between heading levels?
### 7. Color with Purpose
### 8. Color with Purpose
- Is color used to communicate, not just decorate?
- Does the palette feel cohesive?
- Are accent colors drawing attention to the right things?
- Does it work for colorblind users? (not just technically—does meaning still come through?)
### 8. States & Edge Cases
### 9. States & Edge Cases
- Empty states: Do they guide users toward action, or just say "nothing here"?
- Loading states: Do they reduce perceived wait time?
- Error states: Are they helpful and non-blaming?
- Success states: Do they confirm and guide next steps?
### 9. Microcopy & Voice
### 10. Microcopy & Voice
- Is the writing clear and concise?
- Does it sound like a human (the right human for this brand)?
- Are labels and buttons unambiguous?
@@ -66,6 +87,9 @@ Evaluate the interface across these dimensions:
Structure your feedback as a design director would:
### AI Slop Verdict
**Start here.** Give a clear verdict: Does this look AI-generated? If yes, list the specific tells you spotted. This is pass/fail—either it's distinctive or it's not. Be brutally honest.
### Overall Impression
A brief gut reaction—what works, what doesn't, and the single biggest opportunity.
+17
View File
@@ -2,6 +2,8 @@ description = "Perform comprehensive audit of interface quality across accessibi
prompt = """
Run systematic quality checks and generate a comprehensive audit report with prioritized issues and actionable recommendations. Don't fix issues - document them for other commands to address.
**First**: Use the frontend-design skill for design principles and anti-patterns.
## Diagnostic Scan
Run comprehensive checks across multiple dimensions:
@@ -43,12 +45,27 @@ Run comprehensive checks across multiple dimensions:
- **Placeholder as label**: Using placeholder text as the only field label
- **Generic fonts**: Defaulting to Inter/Roboto/Arial without intentional choice
6. **AI Slop Detection (CRITICAL)** - Does this look AI-generated? Check for:
- **AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds
- **Gradient text**: Especially on metrics or headings—decorative rather than meaningful
- **Default dark mode with glowing accents**: "Cool" without requiring design decisions
- **Monospace typography**: Lazy shorthand for "technical/developer" vibes
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders used decoratively
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent—it's a template
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell
- **Rounded rectangles with generic shadows**: Safe, forgettable, could be any AI output
**CRITICAL**: This is an audit, not a fix. Document issues thoroughly with clear explanations of impact. Use other commands (normalize, optimize, harden, etc.) to fix issues after audit.
## Generate Comprehensive Report
Create a detailed audit report with the following structure:
### AI Slop Verdict
**Start here.** Pass/fail: Does this look AI-generated? List specific tells if yes. Be brutally honest—this is the most important quality signal.
### Executive Summary
- Total issues found (count by severity)
- Most critical issues (top 3-5)
+33 -9
View File
@@ -8,55 +8,76 @@ Conduct a holistic design critique, evaluating whether the interface actually wo
Evaluate the interface across these dimensions:
### 1. Visual Hierarchy
### 1. AI Slop Detection (CRITICAL)
**This is the most important check.** Does this look like every other AI-generated interface from 2024-2025? Watch for these tells:
- **The AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds. These combinations have become a fingerprint for AI-generated work.
- **Gradient text for "impact"**: Especially on metrics or headings. It's decorative rather than meaningful.
- **Default dark mode**: AI loves dark themes with glowing accents because it looks "cool" without requiring actual design decisions.
- **Monospace typography**: Lazy shorthand for "this is technical/for developers."
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders—used decoratively rather than purposefully.
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent. It's a template now.
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing.
- **Cards nested in cards**: The AI's go-to for "organizing" content.
- **Inter/Roboto/system fonts**: The path of least resistance.
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell.
- **Rounded rectangles with drop shadows**: Generic, safe, forgettable.
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated.
**Ask yourself**: If you showed this to someone and said "AI made this," would they believe you immediately? If yes, that's the problem.
A distinctive interface should make someone ask "how was this made?" not "which AI made this?"
### 2. Visual Hierarchy
- Does the eye flow to the most important element first?
- Is there a clear primary action? Can you spot it in 2 seconds?
- Do size, color, and position communicate importance correctly?
- Is there visual competition between elements that should have different weights?
### 2. Information Architecture
### 3. Information Architecture
- Is the structure intuitive? Would a new user understand the organization?
- Is related content grouped logically?
- Are there too many choices at once? (cognitive overload)
- Is the navigation clear and predictable?
### 3. Emotional Resonance
### 4. Emotional Resonance
- What emotion does this interface evoke? Is that intentional?
- Does it match the brand personality?
- Does it feel trustworthy, approachable, premium, playful—whatever it should feel?
- Would the target user feel "this is for me"?
### 4. Discoverability & Affordance
### 5. Discoverability & Affordance
- Are interactive elements obviously interactive?
- Would a user know what to do without instructions?
- Are hover/focus states providing useful feedback?
- Are there hidden features that should be more visible?
### 5. Composition & Balance
### 6. Composition & Balance
- Does the layout feel balanced or uncomfortably weighted?
- Is whitespace used intentionally or just leftover?
- Is there visual rhythm in spacing and repetition?
- Does asymmetry feel designed or accidental?
### 6. Typography as Communication
### 7. Typography as Communication
- Does the type hierarchy clearly signal what to read first, second, third?
- Is body text comfortable to read? (line length, spacing, size)
- Do font choices reinforce the brand/tone?
- Is there enough contrast between heading levels?
### 7. Color with Purpose
### 8. Color with Purpose
- Is color used to communicate, not just decorate?
- Does the palette feel cohesive?
- Are accent colors drawing attention to the right things?
- Does it work for colorblind users? (not just technically—does meaning still come through?)
### 8. States & Edge Cases
### 9. States & Edge Cases
- Empty states: Do they guide users toward action, or just say "nothing here"?
- Loading states: Do they reduce perceived wait time?
- Error states: Are they helpful and non-blaming?
- Success states: Do they confirm and guide next steps?
### 9. Microcopy & Voice
### 10. Microcopy & Voice
- Is the writing clear and concise?
- Does it sound like a human (the right human for this brand)?
- Are labels and buttons unambiguous?
@@ -66,6 +87,9 @@ Evaluate the interface across these dimensions:
Structure your feedback as a design director would:
### AI Slop Verdict
**Start here.** Give a clear verdict: Does this look AI-generated? If yes, list the specific tells you spotted. This is pass/fail—either it's distinctive or it's not. Be brutally honest.
### Overall Impression
A brief gut reaction—what works, what doesn't, and the single biggest opportunity.
+17
View File
@@ -10,6 +10,8 @@ args:
Run systematic quality checks and generate a comprehensive audit report with prioritized issues and actionable recommendations. Don't fix issues - document them for other commands to address.
**First**: Use the frontend-design skill for design principles and anti-patterns.
## Diagnostic Scan
Run comprehensive checks across multiple dimensions:
@@ -51,12 +53,27 @@ Run comprehensive checks across multiple dimensions:
- **Placeholder as label**: Using placeholder text as the only field label
- **Generic fonts**: Defaulting to Inter/Roboto/Arial without intentional choice
6. **AI Slop Detection (CRITICAL)** - Does this look AI-generated? Check for:
- **AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds
- **Gradient text**: Especially on metrics or headings—decorative rather than meaningful
- **Default dark mode with glowing accents**: "Cool" without requiring design decisions
- **Monospace typography**: Lazy shorthand for "technical/developer" vibes
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders used decoratively
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent—it's a template
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell
- **Rounded rectangles with generic shadows**: Safe, forgettable, could be any AI output
**CRITICAL**: This is an audit, not a fix. Document issues thoroughly with clear explanations of impact. Use other commands (normalize, optimize, harden, etc.) to fix issues after audit.
## Generate Comprehensive Report
Create a detailed audit report with the following structure:
### AI Slop Verdict
**Start here.** Pass/fail: Does this look AI-generated? List specific tells if yes. Be brutally honest—this is the most important quality signal.
### Executive Summary
- Total issues found (count by severity)
- Most critical issues (top 3-5)
+33 -9
View File
@@ -16,55 +16,76 @@ Conduct a holistic design critique, evaluating whether the interface actually wo
Evaluate the interface across these dimensions:
### 1. Visual Hierarchy
### 1. AI Slop Detection (CRITICAL)
**This is the most important check.** Does this look like every other AI-generated interface from 2024-2025? Watch for these tells:
- **The AI color palette**: Cyan-on-dark, purple-to-blue gradients, neon accents on dark backgrounds. These combinations have become a fingerprint for AI-generated work.
- **Gradient text for "impact"**: Especially on metrics or headings. It's decorative rather than meaningful.
- **Default dark mode**: AI loves dark themes with glowing accents because it looks "cool" without requiring actual design decisions.
- **Monospace typography**: Lazy shorthand for "this is technical/for developers."
- **Glassmorphism everywhere**: Blur effects, glass cards, glow borders—used decoratively rather than purposefully.
- **Hero metric layout**: Big number, small label, supporting stats, gradient accent. It's a template now.
- **Sparklines as decoration**: Tiny charts that look sophisticated but convey nothing.
- **Cards nested in cards**: The AI's go-to for "organizing" content.
- **Inter/Roboto/system fonts**: The path of least resistance.
- **Purple-to-blue gradients on white**: The #1 "AI marketing site" tell.
- **Rounded rectangles with drop shadows**: Generic, safe, forgettable.
- **Identical card grids**: Same-sized cards with icon + heading + text, repeated.
**Ask yourself**: If you showed this to someone and said "AI made this," would they believe you immediately? If yes, that's the problem.
A distinctive interface should make someone ask "how was this made?" not "which AI made this?"
### 2. Visual Hierarchy
- Does the eye flow to the most important element first?
- Is there a clear primary action? Can you spot it in 2 seconds?
- Do size, color, and position communicate importance correctly?
- Is there visual competition between elements that should have different weights?
### 2. Information Architecture
### 3. Information Architecture
- Is the structure intuitive? Would a new user understand the organization?
- Is related content grouped logically?
- Are there too many choices at once? (cognitive overload)
- Is the navigation clear and predictable?
### 3. Emotional Resonance
### 4. Emotional Resonance
- What emotion does this interface evoke? Is that intentional?
- Does it match the brand personality?
- Does it feel trustworthy, approachable, premium, playful—whatever it should feel?
- Would the target user feel "this is for me"?
### 4. Discoverability & Affordance
### 5. Discoverability & Affordance
- Are interactive elements obviously interactive?
- Would a user know what to do without instructions?
- Are hover/focus states providing useful feedback?
- Are there hidden features that should be more visible?
### 5. Composition & Balance
### 6. Composition & Balance
- Does the layout feel balanced or uncomfortably weighted?
- Is whitespace used intentionally or just leftover?
- Is there visual rhythm in spacing and repetition?
- Does asymmetry feel designed or accidental?
### 6. Typography as Communication
### 7. Typography as Communication
- Does the type hierarchy clearly signal what to read first, second, third?
- Is body text comfortable to read? (line length, spacing, size)
- Do font choices reinforce the brand/tone?
- Is there enough contrast between heading levels?
### 7. Color with Purpose
### 8. Color with Purpose
- Is color used to communicate, not just decorate?
- Does the palette feel cohesive?
- Are accent colors drawing attention to the right things?
- Does it work for colorblind users? (not just technically—does meaning still come through?)
### 8. States & Edge Cases
### 9. States & Edge Cases
- Empty states: Do they guide users toward action, or just say "nothing here"?
- Loading states: Do they reduce perceived wait time?
- Error states: Are they helpful and non-blaming?
- Success states: Do they confirm and guide next steps?
### 9. Microcopy & Voice
### 10. Microcopy & Voice
- Is the writing clear and concise?
- Does it sound like a human (the right human for this brand)?
- Are labels and buttons unambiguous?
@@ -74,6 +95,9 @@ Evaluate the interface across these dimensions:
Structure your feedback as a design director would:
### AI Slop Verdict
**Start here.** Give a clear verdict: Does this look AI-generated? If yes, list the specific tells you spotted. This is pass/fail—either it's distinctive or it's not. Be brutally honest.
### Overall Impression
A brief gut reaction—what works, what doesn't, and the single biggest opportunity.