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IceCube Content Factory

by @ares521521-design

๐ŸงŠ IceCube Content Factory โ€” Turn any topic into viral-worthy content. Auto-generate hooks, threads, and posts with engagement psychology built-in. When user...

Versionv1.0.0
Downloads288
TERMINAL
clawhub install icecube-content-factory

๐Ÿ“– About This Skill


name: icecube-content-factory description: "๐ŸงŠ 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: {}

๐ŸงŠ 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 ๐Ÿงต"
    

    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 ๐Ÿ”

    Example 2: Xiaohongshu Note

    Input: "AI agent memory"
    Output:
    Title: "AI agent ่ฎฐๅฟ†ๅŠ›ๆๅ‡ 4000%๏ฝœไปŽ 600KB ้™ๅˆฐ 15KB"

    Hook: "ๅคง้ƒจๅˆ†ไบบไธ็Ÿฅ้“ AI agent ไธบไป€ไนˆๆ€ปๆ˜ฏๅฟ˜่ฎฐ..."

    Structure:

  • Problem (็—›็‚น)
  • Solution (่งฃๅ†ณๆ–นๆกˆ)
  • Results (ๆ•ˆๆžœ)
  • How-to (ๆ•™็จ‹)
  • CTA (ไบ’ๅŠจ)
  • Emojis: ๐ŸงŠ ๐Ÿ’พ โšก ๐Ÿ“‰

    Hashtags: #AIๅทฅๅ…ท #ๆ•ˆ็އๆๅ‡ #้ป‘็ง‘ๆŠ€

    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

  • 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

    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:
    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: 2-3

    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:

    # Content Factory โ€” 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

    โŒ Don't:

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

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

    MIT โ€” Use freely.


    *Content that stops the scroll. Not just more noise.*