ckm:design-system▌
nextlevelbuilder/ui-ux-pro-max-skill · updated May 4, 2026
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Token architecture, component specifications, systematic design, slide generation.
Design System
Token architecture, component specifications, systematic design, slide generation.
When to Use
- Design token creation
- Component state definitions
- CSS variable systems
- Spacing/typography scales
- Design-to-code handoff
- Tailwind theme configuration
- Slide/presentation generation
Token Architecture
Load: references/token-architecture.md
Three-Layer Structure
Primitive (raw values)
↓
Semantic (purpose aliases)
↓
Component (component-specific)
Example:
/* Primitive */
--color-blue-600: #2563EB;
/* Semantic */
--color-primary: var(--color-blue-600);
/* Component */
--button-bg: var(--color-primary);
Quick Start
Generate tokens:
node scripts/generate-tokens.cjs --config tokens.json -o tokens.css
Validate usage:
node scripts/validate-tokens.cjs --dir src/
References
| Topic | File |
|---|---|
| Token Architecture | references/token-architecture.md |
| Primitive Tokens | references/primitive-tokens.md |
| Semantic Tokens | references/semantic-tokens.md |
| Component Tokens | references/component-tokens.md |
| Component Specs | references/component-specs.md |
| States & Variants | references/states-and-variants.md |
| Tailwind Integration | references/tailwind-integration.md |
Component Spec Pattern
| Property | Default | Hover | Active | Disabled |
|---|---|---|---|---|
| Background | primary | primary-dark | primary-darker | muted |
| Text | white | white | white | muted-fg |
| Border | none | none | none | muted-border |
| Shadow | sm | md | none | none |
Scripts
| Script | Purpose |
|---|---|
generate-tokens.cjs |
Generate CSS from JSON token config |
validate-tokens.cjs |
Check for hardcoded values in code |
search-slides.py |
BM25 search + contextual recommendations |
slide-token-validator.py |
Validate slide HTML for token compliance |
fetch-background.py |
Fetch images from Pexels/Unsplash |
Templates
| Template | Purpose |
|---|---|
design-tokens-starter.json |
Starter JSON with three-layer structure |
Integration
With brand: Extract primitives from brand colors/typography With ui-styling: Component tokens → Tailwind config
Skill Dependencies: brand, ui-styling Primary Agents: ui-ux-designer, frontend-developer
Slide System
Brand-compliant presentations using design tokens + Chart.js + contextual decision system.
Source of Truth
| File | Purpose |
|---|---|
docs/brand-guidelines.md |
Brand identity, voice, colors |
assets/design-tokens.json |
Token definitions (primitive→semantic→component) |
assets/design-tokens.css |
CSS variables (import in slides) |
assets/css/slide-animations.css |
CSS animation library |
Slide Search (BM25)
# Basic search (auto-detect domain)
python scripts/search-slides.py "investor pitch"
# Domain-specific search
python scripts/search-slides.py "problem agitation" -d copy
python scripts/search-slides.py "revenue growth" -d chart
# Contextual search (Premium System)
python scripts/search-slides.py "problem slide" --context --position 2 --total 9
python scripts/search-slides.py "cta" --context --position 9 --prev-emotion frustration
Decision System CSVs
| File | Purpose |
|---|---|
data/slide-strategies.csv |
15 deck structures + emotion arcs + sparkline beats |
data/slide-layouts.csv |
25 layouts + component variants + animations |
data/slide-layout-logic.csv |
Goal → Layout + break_pattern flag |
data/slide-typography.csv |
Content type → Typography scale |
data/slide-color-logic.csv |
Emotion → Color treatment |
data/slide-backgrounds.csv |
Slide type → Image category (Pexels/Unsplash) |
data/slide-copy.csv |
25 copywriting formulas (PAS, AIDA, FAB) |
data/slide-charts.csv |
25 chart types with Chart.js config |
Contextual Decision Flow
1. Parse goal/context
↓
2. Search slide-strategies.csv → Get strategy + emotion beats
↓
3. For each slide:
a. Query slide-layout-logic.csv → layout + break_pattern
b. Query slide-typography.csv → type scale
c. Query slide-color-logic.csv → color treatment
d. Query slide-backgrounds.csv → image if needed
e. Apply animation class from slide-animations.css
↓
4. Generate HTML with design tokens
↓
5. Validate with slide-token-validator.py
Pattern Breaking (Duarte Sparkline)
Premium decks alternate between emotions for engagement:
"What Is" (frustration) ↔ "What Could Be" (hope)
System calculates pattern breaks at 1/3 and 2/3 positions.
Slide Requirements
ALL slides MUST:
- Import
assets/design-tokens.css- single source of truth - Use CSS variables:
var(--color-primary),var(--slide-bg), etc. - Use Chart.js for charts (NOT CSS-only bars)
- Include navigation (keyboard arrows, click, progress bar)
- Center align content
- Focus on persuasion/conversion
Chart.js Integration
<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/chart.umd.min.js"></script>
<canvas id="revenueChart"></canvas>
<script>
new Chart(document.getElementById('revenueChart'), {
type: 'line',
data: {
labels: ['Sep', 'Oct', 'Nov', 'Dec'],
datasets: [{
data: [5, 12, 28, 45],
borderColor: '#FF6B6B', // Use brand coral
backgroundColor: 'rgba(255, 107, 107, 0.1)',
fill: true,
tension: 0.4
}]
}
});
</script>
Token Compliance
/* CORRECT - uses token */
background: var(--slide-bg);
color: var(--color-primary);
font-family: var(--typography-font-heading);
/* WRONG - hardcoded */
background: #0D0D0D;
color: #FF6B6B;
font-family: 'Space Grotesk';
Reference Implementation
Working example with all features:
assets/designs/slides/claudekit-pitch-251223.html
Command
/slides:create "10-slide investor pitch for ClaudeKit Marketing"
Best Practices
- Never use raw hex in components - always reference tokens
- Semantic layer enables theme switching (light/dark)
- Component tokens enable per-component customization
- Use HSL format for opacity control
- Document every token's purpose
- Slides must import design-tokens.css and use var() exclusively
How to use ckm:design-system on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add ckm:design-system
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches ckm:design-system from GitHub repository nextlevelbuilder/ui-ux-pro-max-skill and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate ckm:design-system. Access the skill through slash commands (e.g., /ckm:design-system) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★58 reviews- ★★★★★Luis Ramirez· Dec 24, 2024
ckm:design-system is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Carlos Nasser· Dec 24, 2024
Solid pick for teams standardizing on skills: ckm:design-system is focused, and the summary matches what you get after install.
- ★★★★★Chaitanya Patil· Dec 20, 2024
ckm:design-system fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Noor Perez· Dec 12, 2024
We added ckm:design-system from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Nia Perez· Dec 4, 2024
Keeps context tight: ckm:design-system is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Camila Rao· Nov 23, 2024
ckm:design-system has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Diego Liu· Nov 19, 2024
I recommend ckm:design-system for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Sofia Ghosh· Nov 15, 2024
Solid pick for teams standardizing on skills: ckm:design-system is focused, and the summary matches what you get after install.
- ★★★★★Nikhil Park· Nov 15, 2024
ckm:design-system is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Piyush G· Nov 11, 2024
Registry listing for ckm:design-system matched our evaluation — installs cleanly and behaves as described in the markdown.
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