🧊 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#

text

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

2. Curiosity Gap#

text

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

3. Pain Point#

text

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

4. Story#

text

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

5. Controversy#

text

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

6. Social Proof#

text

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

7. FOMO#

text

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

8. Counterintuitive#

text

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

9. How-to#

text

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

10. List#

text

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

Usage Examples#

Example 1: Twitter Thread#

text

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#

text

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

Example 3: LinkedIn Post#

text

Input: "AI agent memory"
Output:
Hook: "After 6 months of experimentation, I finally solved the AI memory problem."

Body:
- Professional framing
- Data-driven results
- Business implications
- Call to action

Tone: Thought leadership, not clickbait

Content Psychology Principles#

1. Open Loops#

• Start with incomplete information
• Promise resolution at the end
• Keep readers engaged throughout

2. Pattern Interrupts#

• Break expected patterns
• Surprise the brain
• Force attention

3. Value Density#

• Every sentence must add value
• Cut fluff ruthlessly
• Respect reader time

4. Emotional Triggers#

• Curiosity
• Fear of missing out
• Desire for gain
• Pain avoidance
• Social validation

5. Authority Signals#

• Data and metrics
• Personal experience
• Expert quotes
• Case studies

Workflow#

Step 1: Topic Input#

yaml

topic: "AI agent memory"
audience: "developers"
platform: "twitter"
tone: "technical but accessible"
goal: "educate and drive interest"

Step 2: Hook Generation#

Generate 5 hooks using different templates.

Step 3: Structure Selection#

Choose optimal structure for platform.

Step 4: Content Drafting#

Draft complete content with hooks + body + CTA.

Step 5: Optimization#

• Check readability score
• Verify engagement elements
• Add platform-specific elements

Step 6: Output#

Generate final content ready to post.

Advanced Features#

A/B Test Hooks#

Generate multiple hooks, test engagement:

yaml

hooks:
  - hook_a: "Most AI agents forget everything..."
    style: "pattern_interrupt"
  - hook_b: "I spent 6 months solving memory..."
    style: "story"
  - hook_c: "600KB vs 15KB: The memory breakthrough..."
    style: "counterintuitive"

Content Series#

Turn one topic into a week of content:

text

Day 1: Hook-focused intro
Day 2: Deep dive #1
Day 3: Case study
Day 4: Deep dive #2
Day 5: Implementation guide
Day 6: Common mistakes
Day 7: Summary + CTA

Platform Optimization#

yaml

twitter:
  max_chars: 280
  optimal_threads: 8-12 tweets
  hashtag_limit: 2-3

linkedin:
  max_chars: 3000
  optimal_length: 1300-2000
  no_hashtags_in_body

xiaohongshu:
  title_chars: 20
  body_style: emotional + visual
  emoji_density: high

reddit:
  max_title: 300
  style: authentic + value-dense
  no_obvious_promotion

Integration with IceCube Suite#

icecube-memory: Store successful hooks and patterns icecube-heartbeat: Track content performance during maintenance icecube-evolution: Learn from high-engagement content

Output Format#

memory/content/YYYY-MM-DD.md:

markdown

# Content Factory — YYYY-MM-DD

## Topic: AI Agent Memory
Platform: Twitter
Generated: HH:MM

### Hooks Generated
1. Pattern Interrupt: "Most AI agents forget..."
2. Story: "I spent 6 months..."
3. Counterintuitive: "600KB vs 15KB..."

### Selected Hook
"Most AI agents forget everything after 30 minutes.
Here's how I built one that remembers forever:"

### Full Content
[8-tweet thread]

### Engagement Prediction
- High: Hook type performs well in tech niche
- Risk: Might attract developer audience only

### Posted
- [ ] Twitter
- [ ] LinkedIn
- [ ] Xiaohongshu

### Actual Performance
(Updated after posting)
- Impressions:
- Engagement:
- Click-through:

Anti-Patterns#

❌ Don't:

• Use clickbait without substance
• Over-promise and under-deliver
• Ignore platform norms
• Copy-paste without adaptation

✅ Do:

• Deliver value in every piece
• Match hook to actual content
• Adapt tone per platform
• Learn from high performers

License#

MIT — Use freely.

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Content that stops the scroll. Not just more noise.