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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.
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
| 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
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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从一个小任务开始
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来源与使用须知
仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。
- 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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"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"
}
}创作者工具
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