x-post-creator-skill
Create scientifically rigorous, engaging X (Twitter) posts for cardiology thought leadership. Use when generating social media content for a cardiologist targeting patients, caregivers, health optimizers, people with lifestyle diseases (hypertension, diabetes, cholesterol), and sedentary individuals seeking prevention. Produces batches of 10 unique posts using strategic combinations of 300+ cardiology seed ideas, 215+ modifiers, 5 audience archetypes, awareness levels, and proven copywriting frameworks (4A, Magical Multipliers). Features self-improvement through accumulated feedback.
When & Why to Use This Skill
The X Post Creator for Cardiology is a specialized Claude skill designed to generate scientifically rigorous and high-engagement social media content for medical thought leadership. By leveraging a database of 300+ cardiology seed ideas and 215+ modifiers, it automates the creation of evidence-based X (Twitter) posts that adhere to strict clinical guidelines while utilizing proven copywriting frameworks like 4A and Magical Multipliers to maximize audience reach and authority.
Use Cases
- Professional Branding: Enabling cardiologists to build a consistent, authoritative presence on X (Twitter) by sharing peer-reviewed insights and expert commentary.
- Patient Education & Outreach: Creating accessible and engaging content for patients and caregivers regarding hypertension, diabetes, and heart disease prevention.
- Healthcare Marketing: Assisting medical marketing teams in producing high-volume, high-quality social media batches that maintain professional reputation and scientific accuracy.
- Research Dissemination: Translating complex clinical data, such as RCTs and meta-analyses, into digestible and shareable social media threads for health optimizers.
- Preventative Health Campaigns: Targeting sedentary individuals with persuasive, research-backed lifestyle intervention posts to encourage heart-healthy habits.
| name | x-post-creator-skill |
|---|---|
| description | Create scientifically rigorous, engaging X (Twitter) posts for cardiology thought leadership. Use when generating social media content for a cardiologist targeting patients, caregivers, health optimizers, people with lifestyle diseases (hypertension, diabetes, cholesterol), and sedentary individuals seeking prevention. Produces batches of 10 unique posts using strategic combinations of 300+ cardiology seed ideas, 215+ modifiers, 5 audience archetypes, awareness levels, and proven copywriting frameworks (4A, Magical Multipliers). Features self-improvement through accumulated feedback. |
X Post Creator for Cardiology Thought Leadership
Generate batches of 10 scientifically accurate, engaging X posts that drive shares and followers.
Core Workflow
- Load feedback → Read
references/feedback-log.mdfor accumulated learnings - Select strategic combinations → Use combination engine below
- Verify scientific accuracy → Every claim must be defensible in peer review
- Apply writing frameworks → Use frameworks from
references/copywriting-frameworks.md - Quality check → Run checklist before output
- Output batch → Present 10 posts with metadata
- Collect feedback → Update feedback log
Reference Files
| File | Purpose | When to Read |
|---|---|---|
references/seed-ideas.md |
300+ cardiology topics across 15 categories | Every generation |
references/modifiers.md |
215+ modifier variables | Every generation |
references/audience-profiles.md |
5 target audience archetypes | Every generation |
references/copywriting-frameworks.md |
4A, Magical Multipliers, 11 approaches | Every generation |
references/writing-rules.md |
Style guide, AI detection avoidance | Every generation |
references/feedback-log.md |
Accumulated learnings | Every generation |
references/tweet-examples.md |
Good/bad examples | When quality unclear |
Scientific Accuracy (NON-NEGOTIABLE)
This is directly associated with the cardiologist's reputation. Good content may or may not help career. Bad science WILL doom it.
Requirements:
- State ONLY what peer-reviewed evidence supports
- Use appropriate hedging: "research suggests," "studies show," "evidence indicates"
- Never overstate benefits or understate risks
- Include mechanism when possible (builds credibility)
- When uncertain, flag for verification rather than guess
- Cite study types when relevant: RCT, meta-analysis, cohort
Never produce:
- Unsubstantiated claims or "miracle cures"
- Cherry-picked data without context
- Fear-mongering without solutions
- Advice contradicting clinical guidelines without justification
Combination Engine
Each post uses: Seed(s) + Modifier(s) + Audience + Awareness Level + Framework = Unique Post
Variety requirements per batch of 10:
- Minimum 5 different seed categories
- Minimum 4 different modifier categories
- All 5 audiences represented at least once across batch
- Mix of 4A frameworks (Actionable, Analytical, Aspirational, Anthropological)
- At least 2 different Magical Multiplier angles
- No repetitive openings (vary first 3 words)
Output Format
[1] {post text}
---
Seeds: {seeds used}
Modifiers: {modifiers used}
Audience: {primary audience}
Awareness: {level}
Framework: {4A type} + {Multiplier if used}
Chars: {count}/280
[2] {post text}
...
Continue to [10].
Feedback Integration Protocol
After output, ask: "Any feedback on this batch? Rate 1-5 and note what worked/didn't."
When feedback received:
- Acknowledge specific change needed
- Append to
references/feedback-log.mdwith date - Apply immediately to all future generations
- Confirm understanding back to user
Quality Checklist (Run Before Every Output)
For EACH post verify:
- Scientifically accurate (defensible in peer review)
- No AI-typical phrases (see writing-rules.md)
- No em dashes
- Under 280 characters
- Engaging hook in first line
- Clear value to specific audience
- Would not embarrass cardiologist professionally
- Different opening from other posts in batch
- Framework applied correctly