content-os

Content OS: Multi-Format Content Orchestrator

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Install skill "content-os" with this command: npx skills add drshailesh88/integrated_content_os/drshailesh88-integrated-content-os-content-os

Content OS: Multi-Format Content Orchestrator

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:

scientific-critical-thinking

  • Evidence rigor check

  • Citation verification

  • Claim accuracy

  • Statistical interpretation

peer-review

  • Methodology review

  • Logical consistency

  • Completeness check

  • Counter-argument consideration

content-reflection

  • Pre-publish QA

  • Audience appropriateness

  • Clarity check

  • Structure review

authentic-voice

  • Anti-AI pattern removal

  • Voice consistency

  • Natural language check

Short-Form Accuracy Pass (QUICK)

Each short-form piece gets:

  • 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

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

medical-newsletter-writer

No summary provided by upstream source.

Repository SourceNeeds Review
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viral-content-predictor

No summary provided by upstream source.

Repository SourceNeeds Review
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authentic-voice

No summary provided by upstream source.

Repository SourceNeeds Review
General

youtube-script-master

No summary provided by upstream source.

Repository SourceNeeds Review