xiaohongshu
xiaohongshu
influencer-analyzer
Track and analyze cardiology content creators (Topol, Attia, York Cardiology, Indian channels). Discovers content patterns, topics, engagement, and gap opportunities for your Hinglish content strategy.
Full skill instructions
Know what's working, find where to differentiate. This skill tracks cardiology content creators and identifies opportunities for your content.
| Step | Action | Output |
|---|---|---|
| 1 | Find influencer content via Perplexity/DuckDuckGo | URLs, articles, videos |
| 2 | Scrape and extract content patterns | Topics, formats, frequency |
| 3 | Analyze engagement signals | What resonates with audience |
| 4 | Generate gap analysis | Where you can differentiate |
Use this skill when you say:
| Name | Platform | Focus | Why Track |
|---|---|---|---|
| @EricTopol | Twitter, Substack | Trials, digital health | Voice model, Ground Truths style |
| Peter Attia | Podcast, YouTube | Longevity, CVD prevention | Deep-dive style |
| York Cardiology | YouTube | Patient education | Clear explanations |
| Dr. Sanjay Gupta (York) | YouTube | ECG, clinical cases | Educational format |
| Name | Platform | Focus | Why Track |
|---|---|---|---|
| Dr Navin Agrawal | YouTube | Patient education | Competition |
| Cardiac Second Opinion | YouTube | Second opinions | Competition |
| Dr. Devi Shetty | Videos | Affordable care | Authority |
| Name | Platform | Why Track |
|---|---|---|
| SAAOL | YouTube | Misinformation to counter |
| Dr Biswaroop Roy Chowdhury | YouTube | Dangerous claims to debunk |
"Analyze what Eric Topol is posting about this week"
"Find gaps between Topol's content and Indian cardiology YouTube"
"What cardiology topics are trending that I haven't covered?"
"Compare my content strategy with Peter Attia"
# Analyze single influencer
python scripts/analyze_influencer.py --name "Eric Topol" --platform twitter
# Compare multiple influencers
python scripts/analyze_influencer.py --compare "Topol,Attia,York Cardiology"
# Find content gaps
python scripts/analyze_influencer.py --gaps --domain "Cardiology"
# Track specific topic
python scripts/analyze_influencer.py --topic "GLP-1" --influencers "Topol,Attia"
## Eric Topol (@EricTopol)
**Recent Focus (Last 30 days):**
- Clinical trials: 45%
- Digital health/AI: 30%
- COVID updates: 15%
- Book promotion: 10%
**Top Performing Topics:**
1. REDUCE-IT controversy (high engagement)
2. Apple Watch AFib detection (viral)
3. AI in diagnosis (consistent interest)
**Posting Patterns:**
- Frequency: 5-10 tweets/day
- Best times: 6AM, 12PM, 6PM PST
- Thread usage: Weekly deep-dives
**Style Notes:**
- Links to primary sources (PubMed, NEJM)
- Quotes key statistics
- Engages with critics
- Retweets junior researchers
## CONTENT GAP ANALYSIS
**What Topol Covers That You Don't:**
- [ ] Weekly trial breakdowns
- [ ] Digital health intersection
- [ ] International guideline comparisons
**What You Cover That Topol Doesn't:**
- [x] Hinglish explanations
- [x] Indian patient context
- [x] Cost-conscious alternatives
- [x] Cultural nuances (vegetarian diets, family dynamics)
**OPPORTUNITY ZONES:**
1. **Translate English trials for Indian context**
- Topol covers REDUCE-IT → You explain what it means for Indian patients
2. **Bridge the gap**
- International guidelines → Indian applicability
3. **Underserved topics in English space**
- Rheumatic heart disease (rare topic in US)
- Tropical cardiology
- Resource-limited settings
| Aspect | Eric Topol | Peter Attia | York Cardiology | You |
|--------|------------|-------------|-----------------|-----|
| Platform | Twitter/Substack | Podcast/YouTube | YouTube | YouTube |
| Language | English | English | English | Hinglish |
| Depth | Expert-level | Deep-dive | Patient-friendly | Expert→Patient |
| Frequency | Daily | Weekly | 2-3x/week | ? |
| Unique Angle | Trials/Digital | Longevity | ECG teaching | Indian context |
research-engine/data/target_channels.json - Channel trackingyoutube-script-master - Topic selectionviral-content-predictor - Content scoringcontent-repurposer - Multi-platform adaptationinfluencer-analyzer
↓
[Gap Analysis Report]
↓
research-engine (topic prioritization)
↓
youtube-script-master (script creation)
↓
YOUR CONTENT (unique angle)
When the user asks about competitors or content strategy:
User: "What is Topol posting about?"
→ Target: Eric Topol
→ Platforms: Twitter, Substack
Use Perplexity MCP or web search to find:
Compare with user's existing content:
User: "Find content gaps in cardiology YouTube"
Claude:
1. Uses Perplexity to search:
- "Eric Topol recent tweets cardiology 2025"
- "Peter Attia podcast topics 2025"
- "York Cardiology recent videos"
- "Indian cardiology YouTube channels"
2. Analyzes results:
- Topic frequency
- Engagement patterns
- Content gaps
3. Cross-references with user's content:
- What has user covered?
- What's missing?
- What's unique to user?
4. Outputs:
- Gap analysis report
- Priority topics list
- Differentiation strategy
# Already have
anthropic>=0.18.0
python-dotenv>=1.0.0
rich>=13.0.0
# For web scraping (optional)
requests>=2.31.0
beautifulsoup4>=4.12.0
| Key | Purpose | Status |
|---|---|---|
| PERPLEXITY_API_KEY | Web search | Already have (via OpenRouter) |
| ANTHROPIC_API_KEY | Analysis | Already have |
Located in data/influencers.json:
{
"influencers": [
{
"name": "Eric Topol",
"handle": "@EricTopol",
"platforms": ["twitter", "substack"],
"focus": ["clinical_trials", "digital_health", "AI_medicine"],
"style": "expert_commentary",
"track_for": "voice_model"
},
{
"name": "Peter Attia",
"handle": "peterattiamd",
"platforms": ["podcast", "youtube", "newsletter"],
"focus": ["longevity", "metabolic_health", "CVD_prevention"],
"style": "deep_dive",
"track_for": "format_inspiration"
},
{
"name": "York Cardiology",
"handle": "@YorkCardiology",
"platforms": ["youtube"],
"focus": ["ECG", "patient_education", "clinical_cases"],
"style": "educational",
"track_for": "competitor"
},
{
"name": "Dr Navin Agrawal",
"handle": null,
"platforms": ["youtube"],
"focus": ["patient_education", "hindi"],
"style": "simple_explanations",
"track_for": "competitor"
}
]
}
This skill helps you understand the competitive landscape so you can differentiate, not duplicate.
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