viral-thread-generation
Skill648 starsChanged 9 months agoApache-2.0View on GitHub
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.
In this repository60 other files it gives its agents.
- AGENTS.mdAGENTS.md
- docs/agents.mdAGENTS.md
- python/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- python/CLAUDE.mdCLAUDE.md
- xspace-agents/CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- llms-full.txtllms.txt
- llms.txtllms.txt
- python/llms-full.txtllms.txt
- python/llms.txtllms.txt
- a2a-multi-agentSkill
- account-backupSkill
- account-toolsSkill
- algorithm-cultivationSkill
- analytics-insightsSkill
- articles-longformSkill
- billing-managementSkill
- blocking-muting-managementSkill
- bookmarks-managementSkill
- business-adsSkill
- community-health-monitoringSkill
- community-managementSkill
- community-notesSkill
- competitor-intelligenceSkill
- content-cleanupSkill
- content-postingSkill
- content-repurposingSkill
- creator-monetizationSkill
- crm-managementSkill
- delegate-accessSkill
- direct-messagesSkill
- discovery-exploreSkill
- engagement-interactionSkill
- follower-monitoringSkill
- graph-analysisSkill
- grok-aiSkill
- growth-automationSkill
- lead-generationSkill
- lists-managementSkill
- media-studioSkill
- notifications-managementSkill
- post-editingSkill
- premium-subscriptionsSkill
- profile-managementSkill
- reputation-auditSkill
- saved-searchesSkill
- settings-privacySkill
- spaces-liveSkill
- teams-managementSkill
- timeline-viewingSkill
- topic-managementSkill
- twitter-scrapingSkill
- unfollow-managementSkill
- video-downloadingSkill
- webhooksSkill
- x402-paymentsSkill
- xactions-cliSkill
- xactions-mcp-serverSkill
- x-pro-managementSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 25
Every thread follows this 5-part structure:
- Distinctive: line 45
No hashtags in hook tweet
- Distinctive: line 91
Add line breaks in tweets for readability
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Viral Thread Generation
MCP-powered workflow for researching trends, analyzing successful threads, and generating high-engagement thread content.
MCP Tools Used
| Tool | Purpose |
x_search_tweets | Find trending conversations and competitor threads |
x_get_tweets | Analyze competitor content patterns |
x_get_profile | Audience context for tone matching |
x_get_followers | Understand target audience interests |
Thread Structure Template
Every thread follows this 5-part structure:
- Hook — First tweet. Stops the scroll. Use: curiosity gap, bold claim, or surprising stat.
- Credibility — Why the reader should listen. Brief proof, experience, or data.
- 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.
- Twist/insight — Unexpected angle, counterintuitive takeaway, or personal story.
- CTA — Call to action: follow, retweet, bookmark, reply, or link.
Workflow
- Research trending topics — Call
x_search_tweetswith 3-5 queries related to your niche. Sort by engagement. Identify topics with high reply counts (indicates discussion potential). - Analyze competitor threads — Call
x_get_tweetsfor 3-5 competitor accounts withlimit: 50. Filter for threads (tweets with "🧵" or "Thread:" or high reply counts). Note which hooks and formats performed best. - Mine audience interests — Call
x_get_followerswithlimit: 100for your account. Scan bios for common interests, job titles, and pain points. - 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)
- 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
- 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
- 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 postingTips
- 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 →")
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

