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---
name: viral-research-engine
description: Use when researching trending topics, generating viral hooks, finding
content gaps, analyzing competitors, and getting hashtag recommendations for Indonesian
short-form video creators on TikTok, Reels, and Shorts.
domain: content
author: oyi77
license: Apache-2.0
subdomain: content-creation
tags:
- content-creation
- digital-content
- engine
- media
- research
- video
- viral
version: 1.0.0
category: content
---
# 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
```python
# 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)
```
1. **Define brief** — Set objectives, audience, and style guidelines
2. **Research and gather** — Collect source material and reference content
3. **Create draft** — Generate initial content following the brief
4. **Refine and edit** — Polish for quality, accuracy, and engagement
5. **Publish and distribute** — Deploy to target platforms
6. **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
1. **Scope** — Define research questions, identify data sources, set time boundaries
1. **Gather** — Collect data from primary sources, APIs, and public records
1. **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