oyi77 Viral Research Engine
When to Use
Trigger phrases:
- "viral research engine"
- "Help me with viral research engine"
Use cases:
- When the task matches this skill's domain expertise
When NOT to use:
- For tasks outside this skill's scope
Version: 1.0.0
Target Market: Indonesia (TikTok, Instagram Reels, YouTube Shorts)
Purpose: Stop guessing. Know exactly what content to make, what hooks to use, and what niches are underserved.
When NOT to Use
- When the content requires deep domain expertise you do not have
- For legal, medical, or financial advice content
- When real-time data is required (use live data feeds)
Overview
Viral Research Engine enables content production with professional quality and consistency.
Workflow
# Example: Content generation pipeline
def generate_content(topic: str, format: str = "article"):
outline = create_outline(topic)
draft = write_draft(outline, format)
edited = edit_for_quality(draft)
optimized = optimize_for_seo(edited)
return publish(optimized)
- Define brief — Set objectives, audience, and style guidelines
- Research and gather — Collect source material and reference content
- Create draft — Generate initial content following the brief
- Refine and edit — Polish for quality, accuracy, and engagement
- Publish and distribute — Deploy to target platforms
- Track performance — Monitor engagement and iterate
Quality Checklist
- Content matches the defined brief and audience
- All facts verified against authoritative sources
- Formatting consistent with style guidelines
- SEO/distribution optimization applied
- Call-to-action clear and compelling
Tools
- Content management system for publishing
- Analytics platform for performance tracking
- Design tools for visual assets
- Collaboration tools for review cycles
Anti-Rationalization Table
| Rationalization | Reality |
|---|---|
| "Good enough content works" | Quality content drives engagement. Mediocre content gets ignored. |
| "I will optimize later" | SEO and distribution need optimization from the start. |
| "Templates are good enough" | Templates are a starting point. Custom content outperforms generic. |
Process
- Scope — Define research questions, identify data sources, set time boundaries
- Gather — Collect data from primary sources, APIs, and public records
- Synthesize — Analyze findings, identify patterns, produce actionable report
Verification
- Content meets quality standards and brief requirements
- Output is properly formatted for target platform
- All facts and references verified
- SEO/distribution optimization applied where applicable