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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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价格未确认★ 154 GitHub Stars目录更新于 · 2026年9月6日agent-skill

概览

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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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

TopicFile
Token Architecturereferences/token-architecture.md
Primitive Tokensreferences/primitive-tokens.md
Semantic Tokensreferences/semantic-tokens.md
Component Tokensreferences/component-tokens.md
Component Specsreferences/component-specs.md
States & Variantsreferences/states-and-variants.md
Tailwind Integrationreferences/tailwind-integration.md

Component Spec Pattern

PropertyDefaultHoverActiveDisabled
Backgroundprimaryprimary-darkprimary-darkermuted
Textwhitewhitewhitemuted-fg
Bordernonenonenonemuted-border
Shadowsmmdnonenone

Scripts

ScriptPurpose
generate-tokens.cjsGenerate CSS from JSON token config
validate-tokens.cjsCheck for hardcoded values in code
search-slides.pyBM25 search + contextual recommendations
slide-token-validator.pyValidate slide HTML for token compliance
fetch-background.pyFetch images from Pexels/Unsplash

Templates

TemplatePurpose
design-tokens-starter.jsonStarter 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
FilePurpose
docs/brand-guidelines.mdBrand identity, voice, colors
assets/design-tokens.jsonToken definitions (primitive→semantic→component)
assets/design-tokens.cssCSS variables (import in slides)
assets/css/slide-animations.cssCSS 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
FilePurpose
data/slide-strategies.csv15 deck structures + emotion arcs + sparkline beats
data/slide-layouts.csv25 layouts + component variants + animations
data/slide-layout-logic.csvGoal → Layout + break_pattern flag
data/slide-typography.csvContent type → Typography scale
data/slide-color-logic.csvEmotion → Color treatment
data/slide-backgrounds.csvSlide type → Image category (Pexels/Unsplash)
data/slide-copy.csv25 copywriting formulas (PAS, AIDA, FAB)
data/slide-charts.csv25 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
<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

  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
文件元数据
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"
查看原始文本
---
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**

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许可证: 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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来源仓库
Jason904/ui-skill-lab
许可证
MIT
版本
1.0.0
最近 GitHub 推送
2026年6月29日
目录更新于
2026年9月6日

版本来自目录元数据,使用前请核实来源发布记录。

质量

63/100

有潜力

信任

55/100

Do not auto-install

审计

69/100

需审查

  • 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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    "install_policy": "block",
    "evidence": {
      "stars": "154 GitHub stars",
      "repoActivity": "154 stars, 9 forks",
      "lastPushed": "3mo since push",
      "license": "MIT",
      "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": {
      "total": 0,
      "successes": 0,
      "failures": 0,
      "not_relevant": 0,
      "success_rate": null,
      "recent_success_rate": null,
      "recent_failure_rate": null,
      "install_attempts": 0,
      "install_success_rate": null,
      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
      "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": [
      "research",
      "agent-skill"
    ],
    "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": {
    "version": "agent-proven-v1",
    "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": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "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": "3mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [
    {
      "slug": "anthropic-frontend-design",
      "name": "Frontend Design",
      "url": "https://www.openagentskill.com/skills/anthropic-frontend-design",
      "stars": 180366,
      "install_command": "npx skills add anthropics/skills --skill frontend-design",
      "trust_score": 91,
      "audit_score": 93
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "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": {
    "task_input": "Use ckm:design-system in an agent workflow",
    "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."
    }
  },
  "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": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "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."
    }
  },
  "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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