Agent skill

infographic-generator

Generate world-class medical infographics using carousel-level visual language. Templates include hero stats, multi-section layouts, comparisons, myth-busters, process flows, and patient checklists. Default 1080x1350 for Instagram.

View SKILL.md on GitHub Repository
Stars 2
Forks 0

Install this agent skill to your Project

npx add-skill https://github.com/drshailesh88/integrated_content_OS/tree/main/skills/cardiology/infographic-generator

SKILL.md

Infographic Generator

Generate publication-grade infographics that match your carousel visual quality. Uses mesh gradients, bold typography, icons, and branded footers.

World-Class Templates

Template Use Case Visual Style
infographic-hero Single key stat Giant gradient stat badge, icon, branded footer
infographic-dense Multi-section content Grid of styled cards with icons
infographic-comparison Drug vs drug, treatment options Split layout with contrast colors
infographic-myth Debunking misconceptions Red/Green split with icons
infographic-process Workflows, algorithms Numbered steps with connectors
infographic-checklist Patient prep, guides Styled checkbox items

Quick Start

Single Infographic

bash
# Hero stat infographic
python skills/cardiology/infographic-generator/scripts/infographic_cli.py \
  --template infographic-hero \
  --data '{"stat":"26%","label":"Mortality Reduction","context":"HR 0.74 (95% CI 0.65-0.85)","source":"PARADIGM-HF","icon":"chart-down","tag":"CLINICAL TRIAL"}' \
  --output outputs/hero-paradigm.png

# Dense multi-section
python skills/cardiology/infographic-generator/scripts/infographic_cli.py \
  --template infographic-dense \
  --data '{"tag":"PATIENT GUIDE","title":"GLP-1 Roll-Off","icon":"pill","sections":[{"title":"Who this is for","bullets":["Stable HF patients","No recent decompensation"],"icon":"people"},{"title":"Red flags","bullets":["Weight gain >2kg/week","New edema"],"icon":"warning","accent":"danger"}],"callout":{"label":"Key","text":"Monitor weekly during taper"}}' \
  --output outputs/dense-glp1.png

# Comparison
python skills/cardiology/infographic-generator/scripts/infographic_cli.py \
  --template infographic-comparison \
  --data '{"tag":"TREATMENT CHOICE","title":"ACE-I vs ARB","left":{"label":"ACE Inhibitors","stat":"22%","statLabel":"Mortality Reduction","icon":"pill","bullets":["First-line","More cough"],"theme":"primary"},"right":{"label":"ARBs","stat":"18%","statLabel":"Mortality Reduction","icon":"shield","bullets":["ACE-I intolerant","Better tolerated"],"theme":"accent"}}' \
  --output outputs/comparison-acei-arb.png

# Myth buster
python skills/cardiology/infographic-generator/scripts/infographic_cli.py \
  --template infographic-myth \
  --data '{"tag":"MYTH BUSTED","title":"Statins cause muscle damage","myth":{"text":"Taking statins will definitely give you muscle pain"},"truth":{"text":"Only 5-10% experience symptoms, most can continue therapy"},"evidence":"Meta-analysis of 19 RCTs","source":"Lancet 2022"}' \
  --output outputs/myth-statins.png

# Process flow
python skills/cardiology/infographic-generator/scripts/infographic_cli.py \
  --template infographic-process \
  --data '{"tag":"ALGORITHM","title":"Starting SGLT2 Inhibitors","steps":[{"title":"Screen","description":"Confirm HFrEF, check eGFR","icon":"magnify"},{"title":"Initiate","description":"Start at recommended dose","icon":"pill"},{"title":"Monitor","description":"Check creatinine at 1-2 weeks","icon":"chart-up"}],"note":"eGFR ≥20 for most agents"}' \
  --output outputs/process-sglt2.png

# Checklist
python skills/cardiology/infographic-generator/scripts/infographic_cli.py \
  --template infographic-checklist \
  --data '{"tag":"PATIENT CHECKLIST","title":"Before Your Stress Test","icon":"heart","categories":[{"title":"24 Hours Before","items":[{"text":"Avoid caffeine"},{"text":"Continue medications"}]},{"title":"Day of Test","items":[{"text":"Wear comfortable shoes"},{"text":"Bring medication list"}]}],"callout":{"icon":"warning","text":"Tell staff about chest pain"}}' \
  --output outputs/checklist-stress.png

Batch Generation

Generate multiple infographics from a config file (perfect for content campaigns):

bash
# From JSON config
python skills/cardiology/infographic-generator/scripts/batch_generate.py \
  --config examples/batch_demo.json

# Parallel generation (faster)
python skills/cardiology/infographic-generator/scripts/batch_generate.py \
  --config examples/batch_demo.json \
  --parallel 4

# Validate config without generating
python skills/cardiology/infographic-generator/scripts/batch_generate.py \
  --config my_config.json \
  --dry-run

Example batch config (examples/batch_demo.json):

json
[
  {
    "template": "infographic-hero",
    "data": {
      "stat": "26%",
      "label": "Mortality Reduction",
      "source": "PARADIGM-HF",
      "icon": "chart-down",
      "tag": "CLINICAL TRIAL"
    },
    "output": "outputs/hero-paradigm.png"
  },
  {
    "template": "infographic-myth",
    "data": {
      "tag": "MYTH BUSTED",
      "title": "Statins cause muscle damage",
      "myth": {"text": "Taking statins will give you pain"},
      "truth": {"text": "Only 5-10% experience symptoms"}
    },
    "output": "outputs/myth-statins.png"
  }
]

Batch Features:

  • ✅ Validate all configs before generating
  • ✅ Parallel generation (1-8 workers)
  • ✅ Stop on first error (optional)
  • ✅ JSON or YAML config formats
  • ✅ Progress tracking

Template Data Schemas

infographic-hero

json
{
  "stat": "26%",
  "label": "Mortality Reduction",
  "context": "HR 0.74, 95% CI 0.65-0.85",
  "source": "PARADIGM-HF Trial",
  "icon": "chart-down",
  "tag": "CLINICAL TRIAL",
  "theme": "primary|success|accent|dark",
  "showFooter": true,
  "footerName": "Dr. Shailesh Singh",
  "footerHandle": "@heartdocshailesh"
}

infographic-dense

json
{
  "tag": "PATIENT GUIDE",
  "title": "GLP-1 Roll-Off in Heart Patients",
  "subtitle": "A practical tapering guide",
  "icon": "pill",
  "sections": [
    {
      "title": "Who this is for",
      "bullets": ["Stable HF patients", "No recent decompensation"],
      "icon": "people",
      "accent": "teal|danger|success|accent"
    }
  ],
  "callout": { "label": "Bottom line", "text": "..." },
  "footer": "Educational infographic. Not medical advice.",
  "showBrandFooter": true
}

infographic-comparison

json
{
  "tag": "TREATMENT COMPARISON",
  "title": "ACE-I vs ARB in HFrEF",
  "left": {
    "label": "ACE Inhibitors",
    "stat": "22%",
    "statLabel": "Mortality Reduction",
    "icon": "pill",
    "bullets": ["First-line therapy", "More cough"],
    "theme": "primary|success|accent|danger"
  },
  "right": {
    "label": "ARBs",
    "stat": "18%",
    "statLabel": "Mortality Reduction",
    "icon": "shield",
    "bullets": ["ACE-I intolerant", "Better tolerated"],
    "theme": "accent"
  },
  "source": "Meta-analysis, Circulation 2022"
}

infographic-myth

json
{
  "tag": "MYTH BUSTED",
  "title": "Statins cause muscle damage in everyone",
  "myth": {
    "text": "Taking statins will definitely give you muscle pain",
    "icon": "cross"
  },
  "truth": {
    "text": "Only 5-10% experience symptoms, most can continue",
    "icon": "check"
  },
  "evidence": "Meta-analysis of 19 RCTs (n=71,000)",
  "source": "Lancet 2022"
}

infographic-process

json
{
  "tag": "TREATMENT ALGORITHM",
  "title": "Starting SGLT2 Inhibitors",
  "subtitle": "Step-by-step for clinicians",
  "steps": [
    { "title": "Screen", "description": "Confirm HFrEF", "icon": "magnify" },
    { "title": "Initiate", "description": "Start at dose", "icon": "pill" },
    { "title": "Monitor", "description": "Check creatinine", "icon": "chart-up" }
  ],
  "note": "eGFR ≥20 for most agents"
}

infographic-checklist

json
{
  "tag": "PATIENT CHECKLIST",
  "title": "Before Your Stress Test",
  "subtitle": "Complete preparation guide",
  "icon": "heart",
  "categories": [
    {
      "title": "24 Hours Before",
      "items": [
        { "text": "Avoid caffeine", "checked": false },
        { "text": "Continue medications", "checked": false }
      ]
    }
  ],
  "callout": { "icon": "warning", "text": "Tell staff about chest pain" }
}

Available Icons

Medical: pill, heart, heart-pulse, stethoscope, syringe, blood-drop, dna, microscope, brain, lungs, bone, hospital, ambulance, doctor

Charts: chart-up, chart-down, graph

Status: check, cross, warning, stop, star, fire, lightning, target, bulb, trophy, shield, clock, magnify, books, people

Arrows: arrow-up, arrow-down, arrow-right

Visual Design System

All templates use:

  • Mesh gradients (layered radials, not flat colors)
  • Font weights: 900 for headlines, 300 for subtitles
  • 3x+ size jumps for hierarchy
  • Icon containers with styled backgrounds
  • Gradient stat badges with shadows
  • Branded footer with handle

Defaults

  • Size: 1080x1350 (Instagram portrait, 4:5)
  • Font: Helvetica/Arial
  • Brand colors: Teal (#16697A), Coral (#EF5350), Success (#27AE60)

Output Location

Default: skills/cardiology/visual-design-system/outputs/infographics/

Python API

python
from skills.cardiology.visual_design_system.scripts.generate_infographic import generate

result = generate(
    "infographic-hero",
    {
        "stat": "26%",
        "label": "Mortality Reduction",
        "source": "PARADIGM-HF",
        "icon": "chart-down",
        "tag": "LANDMARK TRIAL"
    },
    "output.png",
    width=1080,
    height=1350
)

if result["success"]:
    print(f"Generated: {result['output']}")

Recommended Agent Skills

Expand your agent's capabilities with these related and highly-rated skills.

drshailesh88/integrated_content_OS

pufferlib

This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL environments (Gymnasium, PettingZoo, Atari, Procgen, etc.). Use this skill for implementing PPO training, creating PufferEnv environments, optimizing RL performance, or developing policies with CNNs/LSTMs.

2 0
Explore
drshailesh88/integrated_content_OS

fluidsim

Framework for computational fluid dynamics simulations using Python. Use when running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows, or when analyzing turbulence, vortex dynamics, or geophysical flows. Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis.

2 0
Explore
drshailesh88/integrated_content_OS

metabolomics-workbench-database

Access NIH Metabolomics Workbench via REST API (4,200+ studies). Query metabolites, RefMet nomenclature, MS/NMR data, m/z searches, study metadata, for metabolomics and biomarker discovery.

2 0
Explore
drshailesh88/integrated_content_OS

geniml

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.

2 0
Explore
drshailesh88/integrated_content_OS

zinc-database

Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.

2 0
Explore
drshailesh88/integrated_content_OS

astropy

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

2 0
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results