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viral-strategy

viral-strategy

github.com/vivy-yiMarketing & growth508264 installsUpdated 40w ago
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About viral-strategy

viral-strategy is a content strategy skill for Xiaohongshu creators and marketers. It studies viral patterns and applies emotional triggers, shareability, and platform signals to content planning.

Key features

  1. 01Analyze viral posts in a niche
  2. 02Apply five sharing triggers
  3. 03Optimize engagement and algorithm signals
  4. 04Choose high-virality formats
  5. 05Monitor early post performance

Use cases

  1. 01Plan viral Xiaohongshu content
  2. 02Study why posts gained traction
  3. 03Optimize posts for Explore-page exposure

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/vivy-yi/xiaohongshu-skills --skill viral-strategy

After installing, type/viral-strategyin Claude Code to confirm it loaded.

Details

From the project README

Viral Strategy (爆款策略)

Overview

Viral strategy is understanding and creating content with high viral potential - content that resonates deeply with audience emotions, triggers sharing behavior, and leverages Xiaohongshu's algorithm to achieve 10K-100K+ views.

When to Use

Use when:

  • Creating content with viral potential
  • Analyzing why posts went viral
  • Optimizing for algorithm amplification
  • Planning content for explore page
  • Studying viral content patterns

Do NOT use when:

  • Just need engagement tips (use interaction-operations)
  • Planning regular content calendar (use content-calendar)

Core Pattern

Before (random content):

❌ Post whatever feels right
❌ No viral intent
❌ Don't study viral content
❌ Don't understand triggers

After (viral-optimized):

✅ Study viral patterns in niche
✅ Create with viral triggers
✅ Optimize for algorithm signals
✅ Design for shareability

5 Viral Content Triggers:

  1. Relatability - "OMG this is so me!"
  2. Surprise - "I never knew that!"
  3. Value - "Saving this for later"
  4. Identity - "This is who I am"
  5. Emotion - Joy, anger, inspiration

Quick Reference

TriggerContent TypeExampleViral Factor
RelatableDaily struggles"学生党的痛谁懂"Resonance
SurprisingCounter-intuitive"没想到...竟然"Curiosity
ValuableCollections/tutorials"5个平价好物"Saves
EmotionalTransformations"逆袭故事"Shares
ControversialStrong opinions"别再...了"Comments

Implementation

Step 1: Study Viral Content in Niche

Weekly research:

  • Analyze top 20 posts in your category
  • Note common patterns
  • Identify viral triggers
  • Study comment themes

Questions to answer:

  • What emotions do they trigger?
  • What makes people share?
  • What format works best?
  • What topics go viral?
Step 2: Incorporate Viral Triggers

Trigger examples:

  • Relatability: "学生党的痛: 月底没钱还..."
  • Surprise: "这个百元产品竟然吊打千元大牌"
  • Controversy: "别再跟风买...了,根本不适合"
  • Value: "压箱底的5个平价好物,学生必看"
  • Transformation: "从土妞到女神,我只做对了这3件事"
Step 3: Design for Algorithm Amplification

Viral optimization:

  • Initial engagement: First 30min critical
  • Shares: Include shareable elements
  • Saves: High value = saves
  • Comments: Ask questions to spark discussion
Step 4: Create Viral-Worthy Formats

High-viral formats:

  • Before-after transformations
  • Controversial opinions
  • "Nobody tells you" secrets
  • Comprehensive collections (5-10 items)
  • Personal vulnerability stories
  • Myth-busting content
Step 5: Launch and Monitor

Viral launch strategy:

  1. Post at peak times (7-9pm)
  2. Engage immediately (reply to every comment)
  3. Share to other platforms
  4. Ask friends to engage early
  5. Monitor first 30min closely

Common Mistakes

MistakeFix
Trying too hardAuthenticity beats clickbait
No substanceDeliver on title's promise
Negative onlyBalance negative with value
Copying viral contentStudy patterns, don't copy
Ignoring dataUse data-analytics to learn what works

Real-World Impact

Viral posts: 10K-100K+ views Regular posts: 200-1K views

Key metric: Viral content is 10% luck, 90% strategy.


Related Skills:

  • REQUIRED: data-analytics (study what went viral)
  • REQUIRED: content-planning (plan viral content)
  • REQUIRED: algorithm-mechanism (optimize for viral)
  • content-performance-analysis (analyze viral posts)
  • viral-creation (create viral content)

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