social-x-longform

Generate long-form X posts with ASCII diagrams and an AI-humanizer pass.

520|175|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/evolution-foundation/evo-nexus --skill social-x-longform-evolution-foundation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: social-x-longform
Source: https://github.com/evolution-foundation/evo-nexus/tree/main/.claude/skills/social-x-longform
Command: npx skills add https://github.com/evolution-foundation/evo-nexus --skill social-x-longform-evolution-foundation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Prevents AI-sounding X (Twitter) posts by forcing a contrarian, human voice and running a mandatory 24-pattern “humanizer” checklist that rewrites sections that trigger common AI-writing tells.

Core Features & Use Cases

  • Founder/CEO voice long-form writing for posts and threads that read like a real operator wrote them, not a content factory.
  • Contrarian, data-backed structure including hook, setup, problem/lesson sections, uncomfortable truth, and a payoff.
  • Mandatory ASCII diagram inclusion to make the post skimmable and systems-visual on X.
  • 24-pattern AI-humanizer pass that scores and rewrites detected AI patterns before the final output.

Quick Start

Ask your Claude Code agent: Write an X thread with a contrarian angle about why most companies waste money on brand awareness, using real numbers you already provided and including at least one ASCII diagram.

Frequently Asked Questions about social-x-longform

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write long-form X threads that don't sound like AI generated them?

Generate X threads with an AI humanizer pass that removes detectable patterns by enforcing a 24-pattern checklist and rewriting flagged sections, ensuring your long-form posts read like a real operator wrote them.

How do I structure a viral contrarian X post with a hook and payoff?

Structure a viral contrarian X post by enforcing a hook-to-payoff format: setup, problem/lesson sections, an uncomfortable truth, and a final payoff, ensuring data-backed business storytelling throughout the thread.

Can I include ASCII diagrams in my X threads to make them more skimmable?

Yes, you can include ASCII diagrams in X threads. This Skill mandates code-block ASCII diagram inclusion to make your long-form posts systems-visual and skimmable directly in the X feed.

Does this X thread generator work for a founder or CEO voice?

Yes, this X thread generator supports a founder or CEO voice by applying contrarian marketing patterns and explicit banned vocabulary rules, drafting thought leadership content that reads like a real operator wrote it.

What is the best way to humanize AI content for X (Twitter)?

The best way to humanize AI content for X is running a final rewrite step that applies a 24-pattern humanizer checklist, explicitly removing banned vocabulary and detecting common AI-writing tells before producing ready-to-paste output.

Why does my AI generated X thread lack engagement and sound robotic?

Your AI generated X thread sounds robotic because it lacks a contrarian human voice and triggers detectable AI patterns. This Skill fixes that by enforcing pattern-check rules and a mandatory humanizer pass before output.