NYC
skills/drshailesh88/integrated_content_os/cardiology-newsletter-writer

cardiology-newsletter-writer

SKILL.md

Cardiology Newsletter Writer

Write thought leadership newsletters for interventional cardiologists in Eric Topol's authoritative, evidence-based style from Ground Truths.

Workflow

Phase 1: Topic Discovery and Trend Analysis

  1. Search target journals for recent publications (last 2-4 weeks):

    • High-impact general: NEJM, JAMA, Lancet, BMJ
    • Cardiology tier-1: JACC, EHJ, Circulation, JAMA Cardiology
    • Interventional focus: JACC: Cardiovascular Interventions, Circulation: Cardiovascular Interventions, EuroIntervention, Catheterization and Cardiovascular Interventions, JSCAI
  2. Identify trending topics using web_search:

    • Search for cardiology news trends in India
    • Check Google Trends, YouTube, social media discussions
    • Look for topics with high engagement potential
  3. Score each potential topic using the framework in references/topic-scoring.md

  4. Present findings to user in a structured table showing:

    • Topic/trial name
    • Journal and publication date
    • Predicted engagement score (0-100)
    • Key findings (1-2 sentences)
    • Why it matters for interventional cardiology
  5. Get user approval on which topics to include before proceeding

Phase 2: Deep Research

For each approved topic:

  1. Retrieve full articles using PubMed MCP tools:

    • Get PMIDs from search
    • Convert to PMCIDs if available
    • Fetch full text or detailed abstracts
    • Get related trials for context
  2. Build contextual foundation:

    • Identify landmark prior trials (e.g., PARTNER 1/2 for PARTNER 3)
    • Ask user for additional references if needed
    • Research adjacent developments
  3. Analyze evidence:

    • Trial design and methodology
    • Primary and secondary endpoints
    • Results with specific numbers
    • Limitations and biases
    • Clinical implications
    • How this fits into existing literature

Phase 3: Newsletter Drafting

Follow the style guide in references/topol-style-guide.md meticulously.

Key principles:

  • Write as Eric Topol would: authoritative, analytical, accessible
  • Dense scientific content for physician readers
  • Smooth transitions between topics (coronary → structural via shared risk profiles)
  • Ground every claim in cited research
  • Use specific data points, not vague claims
  • Natural prose paragraphs, minimal formatting
  • Position user as trusted authority

Structure:

  • Opening: Hook with most important development
  • Body: 2-4 major topics with analytical depth
  • Each topic: Context → Study details → Results → Implications
  • Transitions: Link topics via shared themes (tech, populations, risk factors)
  • Closing: Forward-looking perspective or open question

Citations:

  • Use PubMed citations with DOIs
  • Format: "A recent NEJM study showed..." with proper attribution
  • Include trial acronyms in natural flow

Anti-AI guidelines (critical - see references/anti-ai-guidelines.md):

  • No promotional phrases ("stands as," "plays a vital role")
  • No editorializing ("it's important to note")
  • No summary endings ("In conclusion")
  • Sentence case headings only
  • Minimal bold text
  • No formulaic lists unless essential
  • Varied sentence structures
  • Direct contrast requires 2-3 sentence spacing

Phase 4: Review and Refinement

  1. Self-check against anti-AI guidelines
  2. Verify all citations are accurate
  3. Check flow between sections
  4. Ensure Topol voice is consistent
  5. Present draft to user for feedback

When to Use References

  • references/topic-scoring.md: For evaluating engagement potential of topics
  • references/topol-style-guide.md: Before and during drafting
  • references/anti-ai-guidelines.md: During drafting and final review
  • references/journal-list.md: For comprehensive journal coverage

Important Notes

  • Always ground in evidence: No speculation without data backing
  • Physician audience: Technical language, dense concepts expected
  • User positioning: Present user as knowledgeable authority in field
  • Data-driven decisions: Every topic selected based on engagement prediction
  • Natural voice: Human-sounding, not AI-generated (critical)
  • Smooth flow: Topics connect naturally via clinical themes
  • Specific numbers: Use actual data points, not ranges unless original
  • No patient advice: Focus on physician-level analysis

Output Format

Final newsletter as markdown document with:

  • Compelling title (Topol-style)
  • 500-1500 words depending on complexity
  • 2-4 major topics
  • Full citations with DOIs
  • Natural paragraph structure
  • Analytical depth throughout
Weekly Installs
8
First Seen
Jan 24, 2026
Installed on
claude-code7
gemini-cli6
antigravity6
opencode6
windsurf5
codex5