Agent skill

Infographic Generator

by Affitor in Affitor/affiliate-skills

Generate branded infographic specifications from any content or data.

MITAuto-check passedMedia & Creative

Install Infographic Generator

skills CLI
$ npx skills add Affitor/affiliate-skills --skill infographic-generator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Affitor/affiliate-skills infographic-generator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Affitor/affiliate-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/content/infographic-generator .claude/skills/infographic-generator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
infographic-generator
GitHub stars
699
Token cost
~3.9k tokens
SKILL.md length
954 words
Files
1
Skills in repo
50
Repo updated
First seen
Licence
MIT

At a glance

Generate branded infographic specifications from any content or data.

  • Works in 7 steps: Analyze Content and Select Type → Extract Visual Data → Design Layout → …
  • The user wants an infographic
  • SKILL.md covers Stage, When to Use, Input Schema and Workflow, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Infographic Generator is an agent skill from Affitor/affiliate-skills. Generate branded infographic specifications from any content or data. Outputs structured layout, copy, data visualization, and color scheme — ready to render as HTML/CSS, Satori, Canva, or any design tool. Use this skill when the user wants an infographic, data visual, social media image, comparison chart, stat card, or says "create an infographic for [content]", "make a visual for my LinkedIn post", "design an image for [topic]", "stat graphic for [data]", "comparison infographic", "branded image", "social media…

Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

It sits in Media & Creative, covering Infographics, Data visualization and Social media posts. It works with LinkedIn and Canva. The repository describes itself as: 50 AI agent skills for affiliate marketing. Research trending content, write data-backed posts, generate infographics, build landing pages, deploy — full flywheel with social… The licence is MIT.

When your agent uses it

  • The user wants an infographic
  • Social media image
  • Comparison chart
  • Says create an infographic for [content]

Example prompts

  • “create an infographic for [content]”
  • “make a visual for my LinkedIn post”
  • “design an image for [topic]”
  • “/infographic-generator”

Requirements

  • Compatibility (from SKILL.md): Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Analyze Content and Select Type
  2. Extract Visual Data
  3. Design Layout
  4. Generate Color Scheme
  5. Generate All Copy
  6. Output
  7. Self-Validation

What it can do on your machine

Read from SKILL.md and the folder at commit e43bfae. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml, html and markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent

    From compatibility in the SKILL.md frontmatter.

Context cost

Infographic Generator loads about 3.9k tokens when it runs. Until then it costs about 180 tokens; SKILL.md has 954 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~180
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Affitor/affiliate-skills at commit e43bfae, republished under its MIT licence (© Affitor). 954 words, ~3,908 tokens.

Download SKILL.mdSave it as .claude/skills/infographic-generator/SKILL.md (or your agent's skills folder).
name
infographic-generator
description
Generate branded infographic specifications from any content or data. Outputs structured layout, copy, data visualization, and color scheme — ready to render as HTML/CSS, Satori, Canva, or any design tool. Use this skill when the user wants an infographic, data visual, social media image, comparison chart, stat card, or says "create an infographic for [content]", "make a visual for my LinkedIn post", "design an image for [topic]", "stat graphic for [data]", "comparison infographic", "branded image", "social media graphic", "infographic for [blog post]", "data visualization", "visual content", "image for my post", "LinkedIn carousel image", "feature comparison chart", "pricing table image".
compatibility
Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent
license
MIT
version
1.0.0
tags
affiliate-marketing, content-creation, infographic, visual, design, branded
metadata.author
affitor
metadata.version
1.0
metadata.stage
S2-Content

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

yaml
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 PatternAuto-detected Type
Contains 1-3 prominent numbers/statsstat_highlight
Contains "vs", comparison datacomparison
Contains numbered steps or a processprocess_flow
Contains a list of items (3-10)checklist or feature_grid
Contains dates or chronological eventstimeline
Contains a notable quotequote_card
Contains percentages or proportionsdata_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:

yaml
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:

yaml
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:

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

For checklist:

yaml
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:

PlatformWidthHeightAspect
LinkedIn108013504:5 (portrait)
Instagram108010801:1 (square)
Twitter120067516:9 (landscape)
Facebook1200630~2:1
Blog12008003:2

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:

yaml
# 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:

yaml
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:

yaml
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
html
<!-- 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

markdown
## 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.
Show full SKILL.md (377 more words)Show less

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:

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

Any NO → redesign before delivering.

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

© Affitor, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/content/infographic-generator of Affitor/affiliate-skills.

Open the folder on GitHubat commit e43bfae

Compare with similar skills

Infographic Generator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Infographic Generator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Infographic Generator this skillAffitor/affiliate-skills699—~3.9kAutomated safety check: PassMIT
Goose Graphics Create Formatgooseworks-ai/goose-skills1.2k1 repos~3.3kAutomated safety check: PassMIT
43 Carousel Brief Globalminhnv0807/ai-business-skills608—~2.4kAutomated safety check: PassMIT
Upload Postsundial-org/awesome-openclaw-skills663—~2kAutomated safety check: PassNone
Book Publisherdmccreary/ibook-skills105—~1.3kAutomated safety check: PassCC-BY-NC-4.0
Linkedin Postholtzy/dataviz-inspiration147—~1.1kAutomated safety check: PassNone

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Works with

Questions about Infographic Generator

What does Infographic Generator do?

Generate branded infographic specifications from any content or data. Infographic Generator is an agent skill from Affitor/affiliate-skills. Generate branded infographic specifications from any content or data.

When should I use Infographic Generator?

Infographic Generator fits situations like: the user wants an infographic; social media image; comparison chart; says create an infographic for [content].

How do I install Infographic Generator in Claude Code?

Run `npx skills add Affitor/affiliate-skills --skill infographic-generator -a claude-code`. Or copy the skill folder (skills/content/infographic-generator in Affitor/affiliate-skills) into .claude/skills/infographic-generator in your project. Claude Code loads it when a task matches its description.

How do I install Infographic Generator in Codex?

Run `npx skills add Affitor/affiliate-skills --skill infographic-generator -a codex`. Or copy the skill folder (skills/content/infographic-generator in Affitor/affiliate-skills) into .agents/skills/infographic-generator in your project. Codex loads it when a task matches its description.

Can I use Infographic Generator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Affitor/affiliate-skills --skill infographic-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/infographic-generator, .gemini/skills/infographic-generator, .github/skills/infographic-generator and .opencode/skills/infographic-generator in your project.

What does Infographic Generator need to run?

SKILL.md names no scripts, command-line tools or credentials: Infographic Generator is instructions for the agent only. Compatibility (from SKILL.md): Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent.

Does Infographic Generator access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Infographic Generator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Infographic Generator use?

Infographic Generator is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Infographic Generator use?

About 3.9k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Infographic Generator?

Skills that share tags, products or a category with Infographic Generator: Goose Graphics Create Format (gooseworks-ai/goose-skills, 1.2k stars), 43 Carousel Brief Global (minhnv0807/ai-business-skills, 608 stars), Upload Post (sundial-org/awesome-openclaw-skills, 663 stars) and Book Publisher (dmccreary/ibook-skills, 105 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Infographic Generator?

Affitor (a GitHub organization) maintains it in Affitor/affiliate-skills, which has 699 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on September 15, 2026.

Source: Affitor/affiliate-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.