x-longform-post

Drafts contrarian-founder X threads with ASCII diagrams and AI-pattern rewriting.

3.3k|656|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/ericosiu/ai-marketing-skills --skill x-longform-post
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: x-longform-post
Source: https://github.com/ericosiu/ai-marketing-skills/tree/main/x-longform-post
Command: npx skills add https://github.com/ericosiu/ai-marketing-skills --skill x-longform-post

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Turns topic ideas into long-form X posts and threads that sound like a real founder wrote them, while catching and removing AI-written “slop” patterns before you publish.

Core Features & Use Cases

  • Founder/CEO voice drafting: Produces contrarian, data-backed posts with short paragraphs and direct sentence style.
  • Required post structure + visuals: Generates a clear hook-to-payoff outline and includes at least one ASCII diagram for readability on X.
  • Mandatory humanizer pass (24-pattern detector): Scores drafts and rewrites any sections that trigger specific AI writing patterns, improving authenticity.

Quick Start

Copy x-longform-post/SKILL.md into your Claude Code skills folder and ask it to draft an X thread from a contrarian angle using your real numbers as proof.

Frequently Asked Questions about x-longform-post

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

FAQPage Schema
How do I write X threads that sound human and avoid AI detection?

Avoid AI slop in X long-form posts by enforcing a mandatory 24-pattern humanizer pass that scores drafts and rewrites flagged sections, ensuring the final thread sounds like a real founder wrote it.

What's the best way to structure long-form X posts for founder thought leadership?

The best structure for X thought leadership posts uses a hook-to-payoff outline, short paragraphs, and mandatory ASCII diagrams to visually break up contrarian, data-backed arguments.

How do I generate viral X threads from a topic idea?

Generate repeatable X threads by inputting a topic and contrarian angle, producing a hook-to-payoff outline with data-backed proof points and ASCII diagrams for viral packaging.

Why do my AI-written X posts sound robotic and how can I fix them?

AI-written posts sound robotic because of detectable AI slop patterns. Fix them by running drafts through a 24-pattern humanizer checklist that identifies and rewrites flagged sections into authentic founder voice.

Can I use ASCII diagrams to improve X thread engagement?

You can and should use ASCII diagrams in X threads to improve engagement. This approach enforces at least one ASCII diagram per post to provide visual breaks and enhance readability.