IceCube Content Factory
by @ares521521-design
๐ง IceCube Content Factory โ Turn any topic into viral-worthy content. Auto-generate hooks, threads, and posts with engagement psychology built-in. When user...
clawhub install icecube-content-factory๐ About This Skill
name: icecube-content-factory description: "๐ง IceCube Content Factory โ Turn any topic into viral-worthy content. Auto-generate hooks, threads, and posts with engagement psychology built-in. When users mention 'content creation', 'viral posts', 'social media content', 'write threads', 'content hooks', 'engagement optimization'." metadata: openclaw: requires: {}
๐ง 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:2. Thread/Post Structures
3. Engagement Optimization
4. Content Remixing
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 ๐งต"
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 ๐
Example 2: Xiaohongshu Note
Input: "AI agent memory"
Output:
Title: "AI agent ่ฎฐๅฟๅๆๅ 4000%๏ฝไป 600KB ้ๅฐ 15KB"Hook: "ๅคง้จๅไบบไธ็ฅ้ AI agent ไธบไปไนๆปๆฏๅฟ่ฎฐ..."
Structure:
Problem (็็น)
Solution (่งฃๅณๆนๆก)
Results (ๆๆ)
How-to (ๆ็จ)
CTA (ไบๅจ) Emojis: ๐ง ๐พ โก ๐
Hashtags: #AIๅทฅๅ
ท #ๆ็ๆๅ #้ป็งๆ
Example 3: LinkedIn Post
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
2. Pattern Interrupts
3. Value Density
4. Emotional Triggers
5. Authority Signals
Workflow
Step 1: Topic Input
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
Step 6: Output
Generate final content ready to post.Advanced Features
A/B Test Hooks
Generate multiple hooks, test engagement: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: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
twitter:
max_chars: 280
optimal_threads: 8-12 tweets
hashtag_limit: 2-3linkedin:
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:
# Content Factory โ YYYY-MM-DDTopic: AI Agent Memory
Platform: Twitter
Generated: HH:MMHooks 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
โ Don't:
โ Do:
License
MIT โ Use freely.
*Content that stops the scroll. Not just more noise.*