🧊 IceCube Content Factory

Content that captures attention. Automatically.

Most content gets ignored. IceCube Content Factory uses engagement psychology to create content that stops the scroll.

What This Skill Does

1. Hook Generation

Generate 10 different hook styles for any topic:

• Pattern interrupt hooks
• Curiosity gap hooks
• Pain point hooks
• Story hooks
• Controversy hooks
• Social proof hooks
• FOMO hooks
• Counterintuitive hooks
• How-to hooks
• List hooks

2. Thread/Post Structures

• Twitter/X threads (optimal structure)
• LinkedIn posts (professional tone)
• Xiaohongshu notes (visual + emotional)
• Reddit posts (authentic + value)
• Blog intros (SEO + engagement)

3. Engagement Optimization

• Optimal posting times by platform
• Hashtag strategies
• CTA placement
• Emoji usage patterns
• Formatting for readability

4. Content Remixing

• Turn one idea into 10 posts
• Repurpose long-form into short-form
• Transform text into visual concepts
• Create content series from single topic

Hook Templates

1. Pattern Interrupt

"Everyone thinks [common belief].
Here's why they're wrong:"

2. Curiosity Gap

"I discovered something that changed everything.
Most people will never know this:"

3. Pain Point

"Struggling with [pain point]?
I spent 6 months figuring this out so you don't have to:"

4. Story

"6 months ago, I was [bad situation].
Today, [good outcome].
Here's exactly what changed:"

5. Controversy

"Unpopular opinion: [controversial take]
Let me explain:"

6. Social Proof

"[X people] have used this to [result].
Here's the breakdown:"

7. FOMO

"This [opportunity] is disappearing.
Those who act now will [benefit]:"

8. Counterintuitive

"The best way to [goal] is NOT [expected method].
It's actually [surprising method]:"

9. How-to

"How to [achieve outcome] in [timeframe]:
A step-by-step guide:"

10. List

"[Number] [things] that will [outcome]:
[Teaser 1]
[Teaser 2]
[Teaser 3]
Thread 🧵"

Usage Examples

Example 1: Twitter Thread

Input: "AI agent memory"
Output:
Hook: "Most AI agents forget everything after 30 minutes.
Here's how I built one that remembers forever:"

Structure:
1/8 [Hook]

2/8 The problem: Zep uses 600K tokens per conversation

3/8 The solution: File-based memory

4/8 How it works: Four-layer architecture

5/8 The results: 15KB vs 600KB

6/8 Implementation details

7/8 Lessons learned

8/8 If you're building AI agents, this matters.
RT if helpful 🔁

Example 2: Xiaohongshu Note

Input: "AI agent memory"
Output:
Title: "AI agent 记忆力提升 4000%｜从 600KB 降到 15KB"

Hook: "大部分人不知道 AI agent 为什么总是忘记..."

Structure:
- Problem (痛点)
- Solution (解决方案)
- Results (效果)
- How-to (教程)
- CTA (互动)

Emojis: 🧊 💾 ⚡ 📉

Hashtags: #AI工具 #效率提升 #黑科技