nirholas/xactions/viral-thread-generation

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Researches trending topics and competitor threads to generate high-engagement thread content with optimized hooks, value ladders, and calls to action. Use when creating threads or planning viral content.

Install

npx vskill@latest install nirholas/xactions/viral-thread-generation

SKILL.md

Viral Thread Generation

MCP-powered workflow for researching trends, analyzing successful threads, and generating high-engagement thread content.

MCP Tools Used

ToolPurpose
x_search_tweetsFind trending conversations and competitor threads
x_get_tweetsAnalyze competitor content patterns
x_get_profileAudience context for tone matching
x_get_followersUnderstand target audience interests

Thread Structure Template

Every thread follows this 5-part structure:

  1. Hook — First tweet. Stops the scroll. Use: curiosity gap, bold claim, or surprising stat.
  2. Credibility — Why the reader should listen. Brief proof, experience, or data.
  3. Value ladder — 3-7 tweets delivering the core content. Each tweet is self-contained but builds on the previous. Use numbered lists, one idea per tweet.
  4. Twist/insight — Unexpected angle, counterintuitive takeaway, or personal story.
  5. CTA — Call to action: follow, retweet, bookmark, reply, or link.

Workflow

  1. Research trending topics — Call x_search_tweets with 3-5 queries related to your niche. Sort by engagement. Identify topics with high reply counts (indicates discussion potential).
  2. Analyze competitor threads — Call x_get_tweets for 3-5 competitor accounts with limit: 50. Filter for threads (tweets with "🧵" or "Thread:" or high reply counts). Note which hooks and formats performed best.
  3. Mine audience interests — Call x_get_followers with limit: 100 for your account. Scan bios for common interests, job titles, and pain points.
  4. Generate 3 thread drafts — For each, apply the thread structure template:
  • Thread A: Educational (how-to or framework)
  • Thread B: Story-driven (case study or personal experience)
  • Thread C: Contrarian (challenge common wisdom)
  1. Optimize hooks — Write 3 hook variations per thread. Test criteria:
  • Creates curiosity gap or tension
  • Under 200 characters
  • No hashtags in hook tweet
  • Includes a number, question, or bold claim
  1. Add engagement triggers — Insert throughout each thread:
  • "Bookmark this" at the value peak
  • A reply prompt ("What would you add?")
  • Retweet hook in final tweet
  1. Format for posting — Number each tweet, keep under 280 chars, end thread with CTA.

Output Template

## Thread Drafts: {topic}
### Thread A: {title} (Educational)
**Hook options:**
1. "{hook variation 1}"
2. "{hook variation 2}"
3. "{hook variation 3}"
**Thread (selected hook):**
1/ {hook}
2/ {credibility}
3/ {value point 1}
4/ {value point 2}
5/ {value point 3}
6/ {twist/insight}
7/ {CTA — follow + retweet}
**Engagement triggers:** {where bookmarks/replies are prompted}
### Thread B: {title} (Story)
{same structure}
### Thread C: {title} (Contrarian)
{same structure}
### Posting Strategy
- Best day/time: {recommendation}
- Space threads 2-3 days apart
- Reply to your own thread with bonus content 1hr after posting

Tips

  • Threads with 7-12 tweets perform best — long enough for value, short enough to finish
  • First tweet determines 80% of thread performance — invest most time there
  • Add line breaks in tweets for readability
  • End mid-thread tweets with a hook to the next ("But here's what most people miss →")

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
543
Repository forks
103
Repository npm downloads, 7 days
105
7-day trend score
44

Stars and forks are for the whole GitHub repository, not this skill alone. Downloads are for the repository's npm package. Refreshed 25 Mar 2026, 7 months ago.

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