Infographic Generator

Infographic Generator

Generate complete infographic specifications from any content, data, or topic.

Outputs structured layout + all copy + data points + color scheme — ready to render

as HTML/CSS, with Satori (server-side), in Canva,

Figma, or any design tool.

LinkedIn posts with images get 2-3x more engagement. This skill turns your content

into visual assets without design skills.

Inspired by content-pipeline's Satori

rendering: AI writes the content → structured spec → rendered as a branded image.

Stage

This skill belongs to Stage S2: Content

When to Use

• After viral-post-writer creates a LinkedIn post — add a visual
• After content-research-brief collects stats — visualize them
• When creating comparison content — feature/pricing comparison chart
• When sharing data or stats — stat highlight cards
• When creating a listicle — visual checklist or numbered list
• For any social media post that would benefit from a branded image

Input Schema

content: string                # (required) Content to visualize — post text, data, or article
infographic_type: string       # (optional, default: auto-detected)
                               # "stat_highlight" — 1-3 key numbers, large and bold
                               # "comparison" — side-by-side product/feature comparison
                               # "process_flow" — step-by-step workflow or how-to
                               # "checklist" — list of items with checkmarks
                               # "timeline" — chronological events
                               # "data_chart" — bar/pie chart representation
                               # "quote_card" — featured quote with attribution
                               # "feature_grid" — grid of features/benefits with icons
platform: string               # (optional, default: "linkedin")
                               # "linkedin" — 1080×1350 (portrait, optimal engagement)
                               # "instagram" — 1080×1080 (square)
                               # "twitter" — 1200×675 (landscape)
                               # "facebook" — 1200×630
                               # "blog" — 1200×800 (featured image)
brand: object                  # (optional) Brand customization
  name: string                 # Company/personal brand name
  primary_color: string        # Hex — "#0066FF"
  secondary_color: string      # Hex — "#1A1A2E"
  accent_color: string         # Hex — "#FF6B35"
  font_style: string           # "modern" | "classic" | "bold" | "minimal"
  logo_text: string            # Text-based logo — "Affitor" | "@yourhandle"
output_format: string          # (optional, default: "spec")
                               # "spec" — structured JSON spec (for any renderer)
                               # "html" — renderable HTML/CSS (self-contained)
                               # "both" — spec + HTML

Workflow

Step 1: Analyze Content and Select Type

Read the input content and detect the best infographic type:

| Content Pattern | Auto-detected Type |

|----------------|-------------------|

| Contains 1-3 prominent numbers/stats | stat_highlight |

| Contains "vs", comparison data | comparison |

| Contains numbered steps or a process | process_flow |

| Contains a list of items (3-10) | checklist or feature_grid |

| Contains dates or chronological events | timeline |

| Contains a notable quote | quote_card |

| Contains percentages or proportions | data_chart |

If infographic_type is provided, use that. Otherwise auto-detect.

Step 2: Extract Visual Data

From the content, extract exactly what needs to appear in the infographic:

For stat_highlight:

stats:
  - number: "30%"        # The big number
    label: "commission"   # What it measures
    context: "recurring"  # Additional context
  - number: "60"
    label: "cookie days"
    context: "industry avg: 30"

For comparison:

items:
  - name: "HeyGen"
    features:
      - label: "Commission"
        value: "30% recurring"
        highlight: true         # winner for this row
      - label: "Cookie"
        value: "60 days"
        highlight: true
  - name: "Synthesia"
    features:
      - label: "Commission"
        value: "25% one-time"
        highlight: false
      - label: "Cookie"
        value: "30 days"
        highlight: false

For process_flow:

steps:
  - number: 1
    title: "Research"
    description: "Find winning programs"
    icon: "🔍"
  - number: 2
    title: "Create"
    description: "Write content that converts"
    icon: "✍️"

For checklist:

items:
  - text: "Recurring commission"
    checked: true
  - text: "60+ day cookie"
    checked: true
  - text: "Free trial available"
    checked: true
  - text: "Dedicated affiliate manager"
    checked: false

Step 3: Design Layout

Based on type + platform, define the layout:

Platform dimensions:

| Platform | Width | Height | Aspect |

|----------|-------|--------|--------|

| LinkedIn | 1080 | 1350 | 4:5 (portrait) |

| Instagram | 1080 | 1080 | 1:1 (square) |

| Twitter | 1200 | 675 | 16:9 (landscape) |

| Facebook | 1200 | 630 | ~2:1 |

| Blog | 1200 | 800 | 3:2 |

Layout structure (all types):

┌─────────────────────────────┐
│         HEADER              │  10-15% height
│    Headline / Title         │
├─────────────────────────────┤
│                             │
│         BODY                │  70-80% height
│    Data / Content           │
│    (type-specific layout)   │
│                             │
├─────────────────────────────┤
│         FOOTER              │  10% height
│    Brand / CTA / Source     │
└─────────────────────────────┘

Step 4: Generate Color Scheme

If brand colors provided: Use them directly.

If no brand colors: Generate a professional palette:

# Default professional palette options
palettes:
  dark_modern:       # Dark background, light text
    bg: "#1A1A2E"
    text: "#FFFFFF"
    accent: "#0066FF"
    secondary: "#16213E"
    
  light_clean:       # Light background, dark text
    bg: "#FFFFFF"
    text: "#1A1A2E"
    accent: "#0066FF"
    secondary: "#F0F4F8"
    
  warm_bold:         # Warm tones
    bg: "#FFF8F0"
    text: "#2D2D2D"
    accent: "#FF6B35"
    secondary: "#FFE8D6"
    
  dark_gradient:     # Gradient dark
    bg: "linear-gradient(135deg, #1A1A2E, #16213E)"
    text: "#FFFFFF"
    accent: "#00D4AA"
    secondary: "#2A2A4A"

Auto-select based on platform:

• LinkedIn → dark_modern or light_clean (professional)
• Twitter → dark_gradient or warm_bold (attention-grabbing)
• Instagram → Any (most visual flexibility)

Step 5: Generate All Copy

Write every piece of text that appears in the infographic:

copy:
  headline: string          # Main title — bold, short (max 8 words)
  subheadline: string       # Optional supporting line
  body_items: string[]      # Data labels, descriptions, etc.
  cta: string               # Call-to-action text — "Link in bio" | "See comments for link"
  footer: string            # Brand name or @handle
  source: string            # "Data: openaffiliate.dev" or source attribution

Copy rules:

• Headlines: 3-8 words, bold claim or specific number
• All text must be readable at mobile scale (not too small)
• No more than 50 total words on the infographic (less = better)
• Data > adjectives (show numbers, not "amazing" or "incredible")

Step 6: Output

Spec output (default):

Complete structured spec that any renderer can consume:

infographic_spec:
  type: string
  platform: string
  dimensions:
    width: number
    height: number
  colors:
    background: string
    text: string
    accent: string
    secondary: string
  layout:
    header: object
    body: object
    footer: object
  data: object              # Type-specific data (stats, comparison items, steps, etc.)
  copy:
    headline: string
    subheadline: string
    body_items: string[]
    cta: string
    footer: string
    source: string

HTML output (if output_format is "html" or "both"):

Generate a self-contained HTML file with inline CSS that renders the infographic

at exact dimensions. This can be:

• Opened in a browser and screenshotted
• Rendered server-side with Satori or Puppeteer
• Used as a starting point for design iteration

<!-- Self-contained, no external dependencies -->
<div style="width: 1080px; height: 1350px; ...">
  <!-- Header -->
  <!-- Body (type-specific) -->
  <!-- Footer -->
</div>

Step 7: Self-Validation

Before presenting output, verify:

• [ ] Total word count on infographic ≤ 50 words
• [ ] All text readable at 50% zoom (minimum effective font size)
• [ ] Color contrast meets accessibility (WCAG AA: 4.5:1 ratio)
• [ ] Data points are accurate and attributed
• [ ] Layout doesn't feel cramped — whitespace is intentional
• [ ] Platform dimensions are correct

If any check fails, fix before delivering.

Output Format

## Infographic: [Headline]

### Spec
- **Type:** [stat_highlight]
- **Platform:** [LinkedIn] — 1080×1350
- **Colors:** [dark_modern] — bg: #1A1A2E, accent: #0066FF

### Preview (text representation)

┌─────────────────────────────────┐
│                                 │
│     HeyGen vs Synthesia         │
│     The Real Comparison         │
│                                 │
│  ┌──────────┐  ┌──────────┐    │
│  │  HeyGen  │  │Synthesia │    │
│  │          │  │          │    │
│  │ 30% rec. │  │ 25% once │    │
│  │ 60 days  │  │ 30 days  │    │
│  │ ★ 127    │  │ ★ 84     │    │
│  └──────────┘  └──────────┘    │
│                                 │
│     🏆 Winner: HeyGen           │
│                                 │
│  ───────────────────────────    │
│  @yourhandle · openaffiliate.dev │
└─────────────────────────────────┘

### Data

[Structured spec as YAML or JSON]

### HTML (if requested)

[Self-contained HTML/CSS code block]

### Next Steps
- Post to [platform] with your viral post from `viral-post-writer`
- Create variations for other platforms: `--platform instagram`
- Generate more infographics from different data in your `content-research-brief`

Error Handling

• Content has no extractable data: Generate a quote_card or checklist type instead. Note: *"No numerical data found. Created a [type] infographic instead."*
• Too much data for one infographic: Select top 3-5 most impactful data points. Note: *"Content has [X] data points. Selected the [Y] most impactful for visual clarity. Consider creating multiple infographics."*
• No brand colors: Use default palette. Note: *"No brand colors specified. Using [palette name]. Add brand colors for consistent branding."*
• HTML output too complex: Simplify layout. Infographics should be simple — complexity kills visual impact.

Examples

Example 1:

User: "Make an infographic comparing HeyGen vs Synthesia for LinkedIn"

→ type: comparison, platform: linkedin (1080×1350)

→ Extract: commission, cookie, rating, price for each

→ Output: side-by-side comparison card with winner highlighted

→ Dark modern palette, bold numbers

Example 2:

User: "Create a stat card from my research brief showing HeyGen's key numbers"

→ type: stat_highlight, platform: linkedin

→ Extract: "$60M raised", "40K businesses", "30% commission"

→ Output: 3 large numbers with labels and context

Example 3:

User: "Visualize the affiliate funnel steps as an infographic"

→ type: process_flow, platform: blog (1200×800)

→ Steps: Research → Content → Landing → Deploy → Track → Optimize

→ Output: horizontal flow with icons and brief descriptions

Feedback & Issue Reporting

When this skill produces unexpected, incomplete, or incorrect output, generate a

skill_feedback block (see shared/references/feedback-protocol.md for full schema).

Skill-specific failure modes:

• No extractable data from content: Content is purely narrative, no stats/numbers. Report as data_quality.
• HTML output doesn't render correctly: CSS issues, wrong dimensions, text overflow. Report as wrong_output with the HTML.
• Too many words on infographic: >50 words makes it unreadable. Report as wrong_output.

Auto-detect triggers:

• infographic_spec.data has <2 data points
• Total word count in all copy fields > 60
• Dimensions don't match declared platform

Report issues: GitHub Issues | Discussions

References

• shared/references/social-data-providers.md — data sources for infographic content
• shared/references/platform-rules.md — platform-specific image requirements
• shared/references/flywheel-connections.md — master flywheel connection map
• shared/references/feedback-protocol.md — issue detection and reporting standard

Flywheel Connections

Feeds Into

• social-media-scheduler (S5) — infographic ready to schedule with post
• landing-page-creator (S4) — infographic as hero image or section visual
• email-drip-sequence (S5) — infographic as email visual content
• bio-link-deployer (S5) — infographic in link hub

Fed By

• content-research-brief (S2) — key stats and data for visualization
• viral-post-writer (S2) — post content to create accompanying visual
• affiliate-blog-builder (S3) — blog data for featured image infographic
• trending-content-scout (S1) — engagement data for benchmark visuals
• traffic-analyzer (S1) — traffic data for comparison infographics
• comparison-post-writer (S3) — comparison data for visual format
• commission-calculator (S1) — commission data for stat highlights

Feedback Loop

• S6 posts with infographics vs without → performance-report shows engagement lift → prioritize infographic creation for high-value content

Quality Gate

Before delivering output, verify:

• Would I stop scrolling for this image?
• Can I understand the main point in under 3 seconds?
• Is the data accurate and attributed?
• Does it look professional, not like clip art?
• Is it readable on a phone screen?

Any NO → redesign before delivering.

chain_metadata:
  skill_slug: "infographic-generator"
  stage: "content"
  timestamp: string
  suggested_next:
    - "social-media-scheduler"
    - "viral-post-writer"
    - "landing-page-creator"