The "produce everything" button. Give one seed idea → get all content types. Or give long-form content → get it split into short-form pieces.
Quick Start
Forward Mode (Seed → All Content)
User: "Content OS: Statins myth-busting for Indians"
Output: ├── Long-form (quality-passed) │ ├── YouTube script (Hinglish) │ ├── Newsletter (B2C - patients) │ ├── Newsletter (B2B - doctors) │ ├── Editorial │ └── Blog post ├── Short-form (accuracy-checked) │ ├── 5-10 tweets │ ├── 1 thread │ └── Carousel content └── Visual ├── Instagram carousel slides └── Infographic concepts
### Backward Mode (Long-form → Split)
User: "Content OS: [paste your blog/script/newsletter]"
Output: ├── 5-10 tweets (key points) ├── 1 thread (condensed narrative) ├── Carousel slides (visual summary) └── Snippets (quotable sections)
## How It Works
### Mode Detection
- **Forward Mode**: Input is a topic/idea (short text, question, or concept)
- **Backward Mode**: Input is existing long-form content (>500 words)
### Forward Mode Pipeline
PHASE 1: RESEARCH │ ├── PubMed MCP │ └── Search for relevant papers, trials, guidelines │ ├── knowledge-pipeline (RAG) │ └── Query AstraDB for ACC/ESC/ADA guidelines, textbooks │ ├── social-media-trends-research (optional) │ └── Check trending angles, audience questions │ └── OUTPUT: research-brief.md └── Synthesized knowledge with citations
PHASE 2: LONG-FORM CONTENT (Full Quality Pipeline) │ ├── youtube-script-master │ └── Hinglish script → Quality Review → Final │ ├── cardiology-newsletter-writer │ └── B2C newsletter → Quality Review → Final │ ├── medical-newsletter-writer │ └── B2B newsletter → Quality Review → Final │ ├── cardiology-editorial │ └── Editorial → Quality Review → Final │ └── cardiology-writer └── Blog post → Quality Review → Final
PHASE 3: SHORT-FORM CONTENT (Quick Accuracy Pass) │ ├── x-post-creator-skill │ └── 5-10 tweets → Accuracy Check → Final │ ├── twitter-longform-medical │ └── Thread → Accuracy Check → Final │ └── Extract carousel content from long-form
PHASE 4: VISUAL CONTENT │ ├── carousel-generator │ └── Generate Instagram slides from key points │ └── cardiology-visual-system └── Infographic concepts (if data-heavy)
PHASE 5: OUTPUT │ └── Organized folder structure with all content
### Backward Mode Pipeline
PHASE 1: ANALYZE │ └── Parse long-form content ├── Extract key points ├── Identify data/statistics ├── Find quotable sections └── Determine topic/theme
PHASE 2: SPLIT (Quick Accuracy Pass) │ ├── Generate tweets (5-10) │ └── One key point per tweet │ ├── Generate thread │ └── Condensed narrative │ ├── Extract carousel content │ └── Key points for slides │ └── Create snippets └── Quotable sections
PHASE 3: VISUAL │ └── carousel-generator └── Generate slides from extracted content
PHASE 4: OUTPUT │ └── All short-form pieces organized
## Quality Gates
### Long-Form Quality Pipeline (FULL)
Each long-form piece goes through:
1. **scientific-critical-thinking**
- Evidence rigor check
- Citation verification
- Claim accuracy
- Statistical interpretation
2. **peer-review**
- Methodology review
- Logical consistency
- Completeness check
- Counter-argument consideration
3. **content-reflection**
- Pre-publish QA
- Audience appropriateness
- Clarity check
- Structure review
4. **authentic-voice**
- Anti-AI pattern removal
- Voice consistency
- Natural language check
### Short-Form Accuracy Pass (QUICK)
Each short-form piece gets:
1. **Data Interpretation Check**
- Are trial results stated correctly?
- Are statistics accurately represented?
- Is the study conclusion not misrepresented?
- Are effect sizes/NNT/HR correctly stated?
This is a sanity check, not full review. User can iterate manually.
## Skills Invoked
### Research Skills
| Skill | Purpose |
|-------|---------|
| `knowledge-pipeline` | RAG + PubMed synthesis |
| PubMed MCP | Direct paper search |
| `social-media-trends-research` | Trending angles |
### Writing Skills
| Skill | Content Type | Quality Gate |
|-------|--------------|--------------|
| `youtube-script-master` | YouTube script (Hinglish) | Full |
| `cardiology-newsletter-writer` | Patient newsletter | Full |
| `medical-newsletter-writer` | Doctor newsletter | Full |
| `cardiology-editorial` | Editorial | Full |
| `cardiology-writer` | Blog post | Full |
| `x-post-creator-skill` | Tweets | Quick |
| `twitter-longform-medical` | Thread | Quick |
### Quality Skills
| Skill | Purpose | Used For |
|-------|---------|----------|
| `scientific-critical-thinking` | Evidence rigor | Long-form |
| `peer-review` | Methodology check | Long-form |
| `content-reflection` | Pre-publish QA | Long-form |
| `authentic-voice` | Anti-AI cleanup | Long-form |
### Visual Skills
| Skill | Purpose |
|-------|---------|
| `carousel-generator` | Instagram slides |
| `cardiology-visual-system` | Infographics |
### Repurposing Skills
| Skill | Purpose |
|-------|---------|
| `cardiology-content-repurposer` | Backward mode splitting |
## Output Structure
/output/content-os/[topic-slug]/ ├── research/ │ └── research-brief.md # Foundation for all content │ ├── long-form/ # Full quality pipeline │ ├── youtube-script.md ✓ Quality passed │ ├── newsletter-b2c.md ✓ Quality passed │ ├── newsletter-b2b.md ✓ Quality passed │ ├── editorial.md ✓ Quality passed │ └── blog.md ✓ Quality passed │ ├── short-form/ # Quick accuracy pass │ ├── tweets.md ✓ Accuracy checked │ ├── thread.md ✓ Accuracy checked │ └── snippets.md ✓ Accuracy checked │ ├── visual/ │ ├── carousel/ │ │ └── slide-01.png... │ └── infographic-concepts.md │ └── summary.md # What was produced
## Invocation Examples
### Forward Mode
"Content OS: GLP-1 agonists cardiovascular benefits" "Content OS: Statin myths for Indian patients" "Content OS: When to get a CAC score" "Content OS: SGLT2 inhibitors in heart failure"
### Backward Mode
"Content OS: [paste your 2000-word blog post]" "Content OS: [paste your YouTube script]" "Content OS: [paste your newsletter]"
## Configuration
### What Gets Produced (Forward Mode)
| Content Type | Default | Can Skip |
|--------------|---------|----------|
| YouTube Script | Yes | Yes |
| Newsletter B2C | Yes | Yes |
| Newsletter B2B | Yes | Yes |
| Editorial | Yes | Yes |
| Blog | Yes | Yes |
| Tweets | Yes | Yes |
| Thread | Yes | Yes |
| Carousel | Yes | Yes |
### Customization
"Content OS: Statins - only YouTube and tweets" "Content OS: Heart failure - skip editorial" "Content OS: CAC scoring - long-form only"
## Integration with Existing System
Content OS orchestrates skills that already exist in your system. It doesn't replace them - it coordinates them.
You can still use individual skills directly:
- `youtube-script-master` for just a script
- `x-post-creator-skill` for just tweets
- `carousel-generator` for just slides
Content OS is for when you want **everything at once**.
## Notes
- Long-form content takes longer due to quality pipeline
- Short-form is faster (quick accuracy pass only)
- Research phase runs once, shared by all content
- Visual content generated from text output
- All content uses same research foundation for consistency
## Voice & Quality Standards
All content follows:
- **YouTube**: Peter Attia depth + Hinglish (70% Hindi / 30% English)
- **Twitter/Writing**: Eric Topol Ground Truths style
- **B2B (Doctors)**: JACC editorial voice
- **Anti-AI**: No "It's important to note", no excessive hedging
- **Citations**: Q1 journals, specific statistics, NNT/HR/CI when relevant