Infographic Copy Skill
Transform research and knowledge base material into information-dense infographic copy—clear, scannable, authoritative, reference-worthy.
Key Principle
Infographics are saved, screenshotted, and returned to. Write for the second and third viewing.
Compressed, noun-heavy style:
"SGLT2i: 26% reduction in HF hospitalization. Start if EF ≤40%."
Not:
"SGLT2 inhibitors have been shown to reduce heart failure hospitalization by 26%..."
Authority comes from precision: specific numbers, trial names, dosing details—not from "I" statements.
3-Step Transformation Workflow
Step 1: Identify the Infographic Type
| Content | Template |
|---------|----------|
| Single striking statistic | infographic-hero |
| Multiple related facts/sections | infographic-dense |
| Two options to compare | infographic-comparison |
| Misconception to correct | infographic-myth |
| Sequential steps or algorithm | infographic-process |
| Patient prep or to-do list | infographic-checklist |
Step 2: Extract and Compress
For each fact: isolate the core claim (3–5 words), keep only essential context, cut the rest. Place the most important information first.
Compression examples:
| Original | Compressed | |----------|------------| | "Patients should discontinue aspirin 7 days before the procedure if instructed" | "Stop aspirin 7 days before (if advised)" | | "BP measured seated after 5 minutes of rest" | "BP: seated, after 5 min rest" | | "PARADIGM-HF: 20% relative risk reduction in CV mortality" | "CV mortality: ↓20% (PARADIGM-HF)" |
After compressing: verify the clinical accuracy of every compressed item against the source. Do not discard dose thresholds, qualifiers (e.g., "if contraindicated"), or population-specific details.
Step 3: Assemble Copy Using the Template
Use the template format below for the identified type. Before handoff, confirm all required fields are populated and every statistic has a source.
Copy Templates
HERO
STAT: [Number + unit] → "26%"
LABEL: [Outcome, patient-focused] → "Mortality Reduction"
CONTEXT: [HR/NNT/ARR/vs comparator] → "HR 0.74 (95% CI 0.65–0.85)"
SOURCE: [Trial/guideline] → "PARADIGM-HF Trial"
TAG: [Category label] → "LANDMARK TRIAL"
DENSE
TAG: [Category]
TITLE: [Main topic]
SUBTITLE: [Scope/audience]
SECTION N:
TITLE: [Section name]
BULLETS: [2–4 items, ≤8 words each, parallel structure, no periods]
CALLOUT: [Single key takeaway]
COMPARISON
TAG: [Category]
TITLE: [What's being compared]
LEFT / RIGHT:
LABEL: [Option]
STAT: [Key number]
STAT LABEL: [What it measures]
BULLETS: [Differentiators—lead with when to choose; same count each side]
SOURCE: [Evidence base]
Keep sides parallel. Lead with differentiators, not similarities. Be clinically fair to both options.
MYTH
TAG: [e.g., "MYTH BUSTED"]
TITLE: [The misconception]
MYTH: [State belief as holders state it—no strawman]
TRUTH: [Direct correction + key number + action/reassurance]
EVIDENCE: [Supporting data]
SOURCE: [Citation]
PROCESS
TAG: [Category]
TITLE: [Process name]
SUBTITLE: [Context]
STEP N:
TITLE: [Verb, 2–4 words]
DESCRIPTION: [Specifics: dose, timing, threshold]
NOTE: [Critical hold/exception criteria]
CHECKLIST
TAG: [Category]
TITLE: [What it's for]
SUBTITLE: [Additional context]
CATEGORY N:
TITLE: [Timeframe or theme]
ITEMS: [Verb-led, specific, ordered by timeline or priority]
CALLOUT: [Critical warning with ⚠ icon]
FOOTER: [Disclaimer if patient-facing]
Citation Formats
- Inline after stats:
Mortality: ↓26% (DAPA-HF) - Bottom source line:
Source: ACC/AHA Guidelines 2023 - Abbreviate:
NEJM 2019,ACC/AHA 2023,n=8,000
Audience Framing
The same clinical content reframes by audience. Example — Beta-Blocker Initiation in HFrEF:
| Audience | Title | Key Framing | |----------|-------|-------------| | Clinician | Beta-Blocker Initiation in HFrEF | Confirm euvolemia → start dose (Carvedilol 3.125mg BID or Metoprolol XL 12.5mg) → uptitrate q2wk. Hold if SBP <90 or HR <60. | | Patient | Starting Your Beta-Blocker | Doctor confirms stability → very low starting dose → slow weekly increases. Tell doctor if dizzy or very tired. | | Caregiver | Beta-Blocker Monitoring Checklist | Watch for: dizziness, fatigue, pulse <50. When to call: worsening breathlessness, fainting. |
Apply the same compression principles; adjust terminology and action language for the audience.
End-to-End Example
Input
Angiography preparation:
- NPO after midnight; hold metformin 48h before contrast
- Stop warfarin 5 days before; bridge with heparin if high-risk
- Continue aspirin unless directed otherwise
- Arrive 2h early; bring medication list; arrange transport home
- Tell staff: contrast allergies, kidney problems, recent bleeding
Output: Infographic Copy
TAG: PATIENT GUIDE
TITLE: Before Your Angiogram
SUBTITLE: Complete preparation checklist
CATEGORY 1: "48 Hours Before"
- "Stop metformin (if using)"
- "Stop warfarin (if instructed)"
- "Continue aspirin and BP meds"
CATEGORY 2: "Night Before"
- "No food after midnight"
- "Water OK until 2h before"
- "Confirm ride home arranged"
CATEGORY 3: "Morning Of"
- "Arrive 2 hours early"
- "Bring medication list"
- "Wear comfortable clothing"
CALLOUT:
ICON: warning
TEXT: "Tell staff about: contrast allergies, kidney problems,
recent bleeding, or if you might be pregnant"
FOOTER: "Educational guide. Follow your doctor's specific instructions."
JSON Handoff Format
Provide structured copy as JSON for the infographic-generator skill:
{
"template": "infographic-checklist",
"data": {
"tag": "PATIENT GUIDE",
"title": "Before Your Angiogram",
"subtitle": "Complete preparation checklist",
"categories": [
{
"title": "48 Hours Before",
"items": [
{"text": "Stop metformin (if using)"},
{"text": "Stop warfarin (if instructed)"},
{"text": "Continue aspirin and BP meds"}
]
}
],
"callout": {
"icon": "warning",
"text": "Tell staff about: contrast allergies, kidney problems, recent bleeding"
}
}
}
Pre-handoff validation checklist:
- All required template fields populated
- Every statistic has a source cited
- Clinical qualifiers preserved (doses, thresholds, populations)
- Each bullet ≤8 words; parallel structure within sections
- Patient-facing content reviewed for plain language
Integration
Workflow:
- Research → Knowledge base
- This skill: Knowledge base → Structured copy + JSON
- Infographic generator: Structured copy → Visual output
Part of Dr. Shailesh Singh's Integrated Content OS