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ckm:design-system

Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing/typography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.

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Preis unbestätigt★ 154 GitHub-StarsVerzeichnis aktualisiert · 6. Sept. 2026agent-skill

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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/chart.js@4.4.1/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

Quelle ansehen ↗

Dateimetadaten

name: ckm:design-system
description: Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing/typography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.
argument-hint: "[component or token]"
license: MIT
metadata:
  author: claudekit
  version: "1.0.0"

Originaltext anzeigen

---
name: ckm:design-system
description: Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing/typography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.
argument-hint: "[component or token]"
license: MIT
metadata:
  author: claudekit
  version: "1.0.0"
---

# 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:**
```css
/* Primitive */
--color-blue-600: #2563EB;

/* Semantic */
--color-primary: var(--color-blue-600);

/* Component */
--button-bg: var(--color-primary);
```

## Quick Start

**Generate tokens:**
```bash
node scripts/generate-tokens.cjs --config tokens.json -o tokens.css
```

**Validate usage:**
```bash
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)

```bash
# 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:**
1. Import `assets/design-tokens.css` - single source of truth
2. Use CSS variables: `var(--color-primary)`, `var(--slide-bg)`, etc.
3. Use Chart.js for charts (NOT CSS-only bars)
4. Include navigation (keyboard arrows, click, progress bar)
5. Center align content
6. Focus on persuasion/conversion

### Chart.js Integration

```html
<script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.1/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

```css
/* 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

```bash
/slides:create "10-slide investor pitch for ClaudeKit Marketing"
```

## Best Practices

1. Never use raw hex in components - always reference tokens
2. Semantic layer enables theme switching (light/dark)
3. Component tokens enable per-component customization
4. Use HSL format for opacity control
5. Document every token's purpose
6. **Slides must import design-tokens.css and use var() exclusively**

Quelle prüfen

Preis und Betriebskosten

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Ausführen: Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
Lizenz: MIT
Preis unbestätigt: Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.

Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →

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Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
The skill depends on external skills (brand, ui-styling) which may not be present in all environments; ensure they are available or provide fallback instructions.
The fetch-background.py script makes network requests to Pexels/Unsplash; while not inherently unsafe, it should be reviewed for API key handling and rate limiting.
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 154 stars, 9 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

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Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

Erfasst

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository: Jason904/ui-skill-lab
Lizenz: MIT
Version: 1.0.0
Letzter GitHub-Push: 29. Juni 2026
Verzeichnis aktualisiert: 6. Sept. 2026
Anleitungspfad: .codex/skills/ui-ux-pro-max-skill/.claude/skills/design-system/SKILL.md @ a71b4e297a4d

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

63/100

Vielversprechend

Vertrauen

55/100

Do not auto-install

Audit

69/100

Prüfung nötig

Vollständiges Audit öffnen Eval-Bericht ansehen

Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
The skill depends on external skills (brand, ui-styling) which may not be present in all environments; ensure they are available or provide fallback instructions.
The fetch-background.py script makes network requests to Pexels/Unsplash; while not inherently unsafe, it should be reviewed for API key handling and rate limiting.
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Stars/forks activity: 154 stars, 9 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
Ergebnisse: —

Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

Agent-Zugang

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Installations-API öffnen LLM-Textformat Manifest öffnen Auto-Auflösungsplan

Weitere Details

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      "repository": "https://github.com/Jason904/ui-skill-lab/tree/main/.codex/skills/ui-ux-pro-max-skill/.claude/skills/design-system",
      "install": "npx skills add Jason904/ui-skill-lab --skill ckm:design-system",
      "installSafety": "standard package or runtime install path",
      "permissionSurface": "secrets or environment access, shell or command execution",
      "documentation": "Strong README/SKILL.md context",
      "agentOutcomes": "No agent outcome data yet"
    },
    "outcome_evidence": {
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      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
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      "agent-skill"
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    "known_risks": [
      "The skill depends on external skills (brand, ui-styling) which may not be present in all environments; ensure they are available or provide fallback instructions.",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Stars/forks activity: 154 stars, 9 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "agent_proven": {
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    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 69,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Financial research output is not financial advice; require human review before any live investment decision",
      "The skill depends on external skills (brand, ui-styling) which may not be present in all environments; ensure they are available or provide fallback instructions.",
      "The fetch-background.py script makes network requests to Pexels/Unsplash; while not inherently unsafe, it should be reviewed for API key handling and rate limiting.",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
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    "label": "Blocked for auto-install",
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    "auto_install_allowed": false,
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    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 63,
    "label": "Promising"
  },
  "supply": {
    "track": "Research and knowledge work",
    "scenario": "RAG and knowledge",
    "maintenance": "4mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [
    {
      "slug": "anthropic-frontend-design",
      "name": "Frontend Design",
      "url": "https://www.openagentskill.com/skills/anthropic-frontend-design",
      "stars": 180766,
      "install_command": "npx skills add anthropics/skills --skill frontend-design",
      "trust_score": 91,
      "audit_score": 93
    }
  ],
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    "The skill depends on external skills (brand, ui-styling) which may not be present in all environments; ensure they are available or provide fallback instructions.",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "The fetch-background.py script makes network requests to Pexels/Unsplash; while not inherently unsafe, it should be reviewed for API key handling and rate limiting."
  ],
  "agent_contract": {
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    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 63/100 Manual review",
      "Audit: 69/100 Needs review",
      "Safety: 25/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "jason904-ckm-design-system (ckm:design-system)",
      "install_command": "npx skills add Jason904/ui-skill-lab --skill ckm:design-system",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
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  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
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      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
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    "payload_template": {
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      "skill_slug": "jason904-ckm-design-system",
      "task": "Use ckm:design-system in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
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  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/jason904-ckm-design-system",
    "api": "https://www.openagentskill.com/api/agent/skills/jason904-ckm-design-system",
    "audit": "https://www.openagentskill.com/skills/jason904-ckm-design-system/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=jason904-ckm-design-system&task=Use%20ckm%3Adesign-system%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20ckm%3Adesign-system%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20ckm%3Adesign-system%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/jason904-ckm-design-system/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/jason904-ckm-design-system"
  }
}

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Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller: Jason904
Quelle: Jason904/ui-skill-lab
Indexiert von: OpenAgentSkill Community-Index

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