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Multi-model consensus scoring for content ideas. Scores the same idea with Claude, GPT-4o, Gemini, and Grok in parallel, then aggregates for a balanced verdict. Reduces single-model bias and improves viral predictions.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Transforms research and knowledge base material into information-dense infographic copy—clear, scannable, authoritative, and reference-worthy. Use when converting clinical algorithms, decision trees, comparison data (drug vs drug, treatment options), trial results, myth vs truth content, patient preparation guides, checklists, or sequential process workflows into structured copy ready for single-image infographic formats. Supports multiple infographic types including hero stats, dense multi-section layouts, side-by-side comparisons, myth-busters, step-by-step processes, and patient checklists. Outputs structured copy with compressed noun-heavy phrasing, specific numbers, trial citations, and JSON-formatted handoff data for downstream infographic generation.
Manages all other skills by detecting capability gaps, proposing new skills, and keeping the system registry in sync. Use when the user encounters something the system cannot do, wants to log a capability gap, review the skill backlog, propose or build a new skill, analyze recurring unmet needs, or run sync pipelines to update context files (CLAUDE.md, GEMINI.md, AGENTS.md) after skill changes.
Template-driven medical infographics using the AntV Infographic framework. Use when creating structured infographics from clinical data, trial results, or patient education content using pre-built templates for hero stats, comparison layouts, process flows, myth-busters, and checklists. Outputs publication-ready HTML/PNG infographics with JACC/NEJM-grade design tokens.
Declarative, grammar-based charting using AntV G2 for complex medical visualizations. Use when creating forest plots, Kaplan-Meier curves, funnel plots, waterfall charts, or any statistical/clinical chart that requires grammar-of-graphics composition with medical-journal-grade styling and accessibility-validated color palettes.
Publication-grade design tokens and utilities for Nature/JACC/NEJM quality graphics. Use when generating charts, infographics, animations, or any visual content that requires medical-journal-grade color palettes, typography, accessibility-validated contrast ratios, and consistent branding. Provides Python token APIs, colorblind-safe palettes, G2 chart templates, AntV infographic templates, Vizzu animation presets, and Manim integration for animated medical explainers.
Content OS orchestrator - the master skill that produces ALL content types from one seed idea (forward mode) or splits long-form content into short-form pieces (backward mode). Invokes research, writing, quality review, and visual generation skills in a coordinated pipeline. Long-form content goes through full quality gates; short-form gets quick accuracy pass.
| name | ensemble-content-scorer |
| description | Multi-model consensus scoring for content ideas. Scores the same idea with Claude, GPT-4o, Gemini, and Grok in parallel, then aggregates for a balanced verdict. Reduces single-model bias and improves viral predictions. |
Wisdom of crowds, but for AI. This skill scores your content ideas using multiple AI models, then aggregates for consensus. More reliable than single-model predictions.
Content Idea
│
┌────────────────┼────────────────┐
│ │ │
▼ ▼ ▼
[Claude] [GPT-4o] [Gemini]
Score Score Score
│ │ │
└────────────────┼────────────────┘
│
▼
[Aggregator (Claude)]
│
▼
Consensus Score + Verdict
| Single Model | Ensemble |
|---|---|
| May have biases | Biases cancel out |
| One perspective | Multiple perspectives |
| Black box score | Transparent reasoning |
| May miss nuances | Catches different angles |
Use this skill when you say:
"Ensemble score: Statins myth-busting for Indian audience"
"Score this video idea: Why your LDL target depends on your risk"
"Rate these ideas and rank them:
1. GLP-1 agonists explained
2. Heart attack warning signs
3. Is coconut oil heart-healthy?"
# Score single idea
python scripts/score_content.py --idea "Statins myth-busting for Indian audience"
# Score multiple ideas
python scripts/score_content.py --ideas "GLP-1 explained" "Statin myths" "CAC scoring"
# Use specific models
python scripts/score_content.py --idea "Topic" --models claude,gpt4o,gemini
Each model scores on these dimensions (1-10):
| Dimension | What It Measures |
|---|---|
| Relevance | How relevant to target audience (Indian patients/doctors) |
| Novelty | How fresh is the angle? Been covered before? |
| Expertise Match | Does it match your expertise as interventional cardiologist? |
| Engagement Potential | Will it capture and hold attention? |
| Share-ability | Will people share this? Controversy potential? |
| Evergreen Factor | Will this be relevant in 6 months? |
Total Score: 0-60
# ENSEMBLE CONTENT SCORE
**Idea:** Statins myth-busting for Indian audience - why most "side effects" aren't real
**Date:** 2025-01-01
---
## INDIVIDUAL MODEL SCORES
### Claude (Anthropic)
| Dimension | Score | Reasoning |
|-----------|-------|-----------|
| Relevance | 9/10 | High - statins widely prescribed in India, misinformation common |
| Novelty | 7/10 | Topic covered before, but Indian-specific angle is fresher |
| Expertise | 9/10 | Perfect for interventional cardiologist |
| Engagement | 8/10 | Controversial enough to spark discussion |
| Shareability | 8/10 | Will trigger debates |
| Evergreen | 9/10 | Statin myths persist |
| **Total** | **50/60** | |
### GPT-4o (OpenAI)
| Dimension | Score | Reasoning |
|-----------|-------|-----------|
| Relevance | 9/10 | Very relevant for Indian audience |
| Novelty | 6/10 | Many statin videos exist |
| Expertise | 10/10 | Perfect fit |
| Engagement | 9/10 | Myth-busting format works |
| Shareability | 8/10 | Good controversy factor |
| Evergreen | 8/10 | Will stay relevant |
| **Total** | **50/60** | |
### Gemini (Google)
| Dimension | Score | Reasoning |
|-----------|-------|-----------|
| Relevance | 8/10 | Good for health-conscious Indians |
| Novelty | 7/10 | Indian angle adds freshness |
| Expertise | 9/10 | Great fit |
| Engagement | 7/10 | Educational more than viral |
| Shareability | 7/10 | Moderate share potential |
| Evergreen | 9/10 | Long-lasting relevance |
| **Total** | **47/60** | |
---
## CONSENSUS SCORE
| Model | Total Score |
|-------|-------------|
| Claude | 50/60 |
| GPT-4o | 50/60 |
| Gemini | 47/60 |
| **Average** | **49/60 (81.7%)** |
| **Std Dev** | 1.7 (High Consensus) |
---
## VERDICT
🟢 **STRONG PURSUE** (Score: 49/60, Consensus: High)
All models agree this is a strong content idea. The combination of:
- High relevance to your audience
- Perfect expertise match
- Good controversy factor
- Evergreen potential
Makes this a priority topic for your content calendar.
---
## RECOMMENDATIONS
1. **Angle Enhancement**: Focus on the "nocebo effect" - most statin "side effects" are psychosomatic
2. **Hook Suggestion**: "90% of statin side effects aren't real - here's the data"
3. **Format**: 12-15 minute deep dive with studies
4. **Hinglish Tip**: Use "side effect ka drama" for relatability
---
## DISSENT ANALYSIS
- **Gemini** scored lower on engagement (7 vs 8-9)
- Suggests: May need stronger hook to maximize viral potential
- Consider: Adding patient testimonial or counter-narrative
| Score Range | Verdict | Action |
|---|---|---|
| 50-60 | 🟢 STRONG PURSUE | High priority, create immediately |
| 40-49 | 🟡 WORTH PURSUING | Good idea, add to calendar |
| 30-39 | 🟠 NEEDS REFINEMENT | Has potential, needs angle work |
| 20-29 | 🔴 RECONSIDER | Weak idea, low priority |
| 0-19 | ⛔ SKIP | Not worth the effort |
| Std Deviation | Interpretation |
|---|---|
| < 3 | High consensus - models agree |
| 3-5 | Moderate consensus - some disagreement |
| > 5 | Low consensus - divisive idea (may be worth exploring!) |
viral-content-predictor - More reliable predictionsyoutube-script-master - Validate topics before scriptingcontent-repurposer - Know which content to repurposeIdea Generation → Ensemble Score → [High Score?] → Create Content
↓
[Low Score?] → Refine or Skip
| Model | Provider | Cost | Notes |
|---|---|---|---|
| Claude Sonnet | Anthropic | Subscription | Your primary |
| GPT-4o | OpenAI | API | Strong analysis |
| Gemini Pro | FREE | Good for fact-checking | |
| Grok | xAI | API | Twitter trend awareness |
Minimum required: 2 models (Claude + one other) Recommended: 3+ models for robust consensus
anthropic>=0.18.0
openai>=1.0.0 # For GPT-4o
google-generativeai>=0.3.0 # For Gemini
python-dotenv>=1.0.0
rich>=13.0.0
| Key | Purpose | Status |
|---|---|---|
| ANTHROPIC_API_KEY | Claude | Already have |
| OPENAI_API_KEY | GPT-4o | Already have |
| GOOGLE_API_KEY | Gemini | Already have |
| XAI_API_KEY | Grok (optional) | Already have |
For scoring multiple ideas at once:
python scripts/score_content.py --batch \
--ideas "GLP-1 for heart failure" \
"Statin myth-busting" \
"CAC scoring guide" \
"Why LDL matters" \
"Exercise for heart health"
Output:
| Rank | Idea | Score | Verdict |
|------|------|-------|---------|
| 1 | Statin myth-busting | 49/60 | 🟢 STRONG PURSUE |
| 2 | GLP-1 for heart failure | 45/60 | 🟡 WORTH PURSUING |
| 3 | CAC scoring guide | 42/60 | 🟡 WORTH PURSUING |
| 4 | Why LDL matters | 38/60 | 🟠 NEEDS REFINEMENT |
| 5 | Exercise for heart health | 35/60 | 🟠 NEEDS REFINEMENT |
This skill helps you invest your time in content that's more likely to succeed.