--- name: influencer-analyzer description: "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." --- # Influencer Analyzer **Know what's working, find where to differentiate.** This skill tracks cardiology content creators and identifies opportunities for your content. --- ## WHAT IT DOES | 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 | --- ## TRIGGERS Use this skill when you say: - "What is [Topol/Attia/competitor] posting about?" - "Find gaps in cardiology content" - "Analyze my competition" - "What topics should I cover?" - "Track cardiology influencers" --- ## TARGET INFLUENCERS ### International (English) | 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 | ### Indian (Hindi/English) | 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 | ### Anti-Patterns (What NOT to do) | Name | Platform | Why Track | |------|----------|-----------| | SAAOL | YouTube | Misinformation to counter | | Dr Biswaroop Roy Chowdhury | YouTube | Dangerous claims to debunk | --- ## USAGE ### In Claude Code (Recommended) ``` "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" ``` ### CLI Mode ```bash # 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" ``` --- ## OUTPUT FORMATS ### 1. Influencer Profile ```markdown ## 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 ``` ### 2. Gap Analysis Report ```markdown ## 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 ``` ### 3. Competitive Comparison Table ```markdown | 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 | ``` --- ## INTEGRATION WITH YOUR SYSTEM ### Feeds Into: - `research-engine/data/target_channels.json` - Channel tracking - `youtube-script-master` - Topic selection - `viral-content-predictor` - Content scoring - `content-repurposer` - Multi-platform adaptation ### Data Flow: ``` influencer-analyzer ↓ [Gap Analysis Report] ↓ research-engine (topic prioritization) ↓ youtube-script-master (script creation) ↓ YOUR CONTENT (unique angle) ``` --- ## HOW CLAUDE SHOULD USE THIS SKILL When the user asks about competitors or content strategy: ### Step 1: Identify Target ``` User: "What is Topol posting about?" → Target: Eric Topol → Platforms: Twitter, Substack ``` ### Step 2: Research with Perplexity Use Perplexity MCP or web search to find: - Recent posts/articles - Engagement metrics - Topic distribution ### Step 3: Analyze Patterns - What topics repeat? - What gets most engagement? - What's the posting frequency? ### Step 4: Generate Gap Analysis Compare with user's existing content: - What's covered vs. uncovered? - Where can user differentiate? - What's the unique angle? ### Step 5: Actionable Recommendations - Specific topics to cover - Formats to try - Timing suggestions --- ## SAMPLE WORKFLOW ``` 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 ``` --- ## DEPENDENCIES ```python # 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 ``` --- ## API KEYS NEEDED | Key | Purpose | Status | |-----|---------|--------| | PERPLEXITY_API_KEY | Web search | Already have (via OpenRouter) | | ANTHROPIC_API_KEY | Analysis | Already have | --- ## PRE-CONFIGURED INFLUENCER PROFILES Located in `data/influencers.json`: ```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" } ] } ``` --- ## NOTES - **Privacy**: Only analyze public content - **Frequency**: Run weekly for trend tracking - **Focus**: Gap analysis, not copying - **Goal**: Find YOUR unique angle, not imitate others --- *This skill helps you understand the competitive landscape so you can differentiate, not duplicate.*