ai-marketing-skills/x-longform-post

X Long-Form Post Writer + Humanizer

Write long-form X (Twitter) articles and threads that actually sound human. Includes a 24-pattern AI writing detector that catches and eliminates AI slop before you publish.

Most AI-generated content dies on the timeline because it reads like AI. This skill fixes that by running every draft through a humanizer checklist based on Wikipedia's "Signs of AI writing" research.

What It Does

1. Takes a topic + contrarian angle
2. Generates a structured long-form post with ASCII diagrams
3. Runs the 24-pattern humanizer checklist
4. Rewrites any sections that trigger AI patterns
5. Outputs a post ready to paste into X

The Humanizer

The real value here. 24 specific patterns that reveal AI-generated text:

Pattern	Example	Fix
Significance inflation	"pivotal moment", "is a testament"	State the fact plainly
Negative parallelism	"It's not X. It's Y."	Say what it IS directly
Banned vocabulary	"leverage", "landscape", "robust"	Use normal words
Vague attributions	"Experts believe..."	Name the expert or drop it
Promotional language	"boasts a vibrant..."	Use specific numbers instead
AI vocabulary clustering	3+ banned words in one paragraph	Rewrite the paragraph

Scoring: Start at 100, deduct per pattern violation. Ship at 90+. Rewrite from scratch below 75.

Full checklist with all 24 patterns and deduction weights in SKILL.md.

Quick Start

Drop SKILL.md into your Claude Code project:

cp x-longform-post/SKILL.md your-project/.claude/skills/x-longform-post.md

Then ask Claude Code:

• "Write an X article about why most companies waste money on brand awareness"
• "Draft a thread on how I replaced my marketing team's manual reporting with AI agents"
• "X post: contrarian take on why SEO isn't dead, it just changed"

Voice Customization

Default voice: direct, contrarian, data-backed.

To match your personal brand:

1. Copy references/voice-template.md to your project
2. Fill in your voice traits, vocabulary, and a sample post
3. Reference it when generating

Structure

Every post follows this skeleton:

1. Hook (1-2 lines): Contrarian claim or surprising stat
2. Setup (2-3 lines): Quick credibility/context
3. Sections: Problem, what happened, lesson
4. ASCII diagram: At least one per post (renders in monospace on X)
5. Uncomfortable truth: The thing nobody wants to say
6. Payoff: Worth it? Yes, here's why.

ASCII Diagrams

Every post includes at least one code-block diagram. These break up text walls and make systems visual:

Pipeline Before:
Lead → SDR → AE → Close
       ↓
    (60% drop)

Pipeline After:
Lead → AI Score → Route
  │         │        │
  ▼         ▼        ▼
 Nurture  SDR(top)  Auto-close
           only     (small deals)

Requirements

This is a prompt-based skill (no Python dependencies). Works with any Claude Code or AI coding agent setup.

License

MIT

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