Does this skill work for threads?

Yes, it includes specific best practices for X threads, focusing on stand-alone hooks and varying tweet lengths to appear more human.

How does this skill help with the LinkedIn algorithm?

It focuses on increasing 'dwell time' and engagement velocity within the first 60 minutes by using narrative structures rather than generic summaries.

What is an LLM 'tell' in social media?

Common patterns like 'I spent time studying X, here's what I learned' or over-using emojis as bullet points that immediately signal AI generation to readers and algorithms.

Why should I avoid links in X posts?

X deprioritizes posts with external links; this skill helps you draft content that moves links to the replies to maximize reach.

LLM Social Posting Guide

Name: LLM Social Posting Guide
Author: CaptainCrouton89

byCaptainCrouton89

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Social Media Management

Drafts authentic, high-engagement social media content for X and LinkedIn that bypasses algorithmic suppression and AI detection patterns.

This skill provides specialized guidance for creating social media content that resonates with human audiences and performs well in modern platform algorithms. It helps Claude avoid common 'AI tells' such as over-structured lists, excessive emojis, and overly polite summaries. By focusing on 'stop-scroll' hooks, opinionated takes, and platform-specific formatting, it ensures that your professional brand remains authentic while maximizing reach and engagement on X and LinkedIn.

Key Features

01Pattern detection for banned 'AI tells' like repetitive emoji bullets and formulaic hooks

02Algorithmic bypass strategies by avoiding external links and AI-typical formatting

03X/Twitter thread optimization without generic 'growth hacker' tropes

04Tone adjustment to remove 'teacher-like' explanations and replace them with authentic observations

05LinkedIn dwell-time maximization through narrative-driven long-form posts

0624 GitHub stars

Use Cases

01Converting technical documentation into a series of engaging X observations

02Reviewing and refining existing social media drafts to remove common LLM linguistic signatures

03Drafting high-authority LinkedIn posts that drive professional engagement without sounding like a bot

Key Features

01Pattern detection for banned 'AI tells' like repetitive emoji bullets and formulaic hooks

02Algorithmic bypass strategies by avoiding external links and AI-typical formatting

03X/Twitter thread optimization without generic 'growth hacker' tropes

04Tone adjustment to remove 'teacher-like' explanations and replace them with authentic observations

05LinkedIn dwell-time maximization through narrative-driven long-form posts

0624 GitHub stars

Use Cases

01Converting technical documentation into a series of engaging X observations

02Reviewing and refining existing social media drafts to remove common LLM linguistic signatures

03Drafting high-authority LinkedIn posts that drive professional engagement without sounding like a bot