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x-algorithm-optimizer

Analyze X posts against the Phoenix ranking algorithm for optimization.

Updated Feb 22, 2026
Search Tags:#viral content#social media strategy#content performance#x algorithm#twitter optimization#engagement tactics
One-click install
npx skills add https://github.com/0xobat/claude-skills --skill x-algorithm-optimizer-0xobat
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: x-algorithm-optimizer
Source: https://github.com/0xobat/claude-skills/tree/main/social/skills/x-algorithm-optimizer
Command: npx skills add https://github.com/0xobat/claude-skills --skill x-algorithm-optimizer-0xobat

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires analyze_x_post, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you understand and optimize your content for X's (formerly Twitter) recommendation algorithm, improving reach, engagement, and follower growth.

Core Features & Use Cases

  • Algorithm Analysis: Understand the mechanics of X's neural recommendation system (Phoenix, Grok).
  • Content Optimization: Get tactical advice and templates for writing posts that align with algorithm priorities (e.g., maximizing replies, shares).
  • Performance Debugging: Diagnose why certain posts underperform and get actionable suggestions.
  • Use Case: You've noticed your posts aren't getting much reach. Use this Skill to analyze your recent content, identify weaknesses based on algorithm mechanics, and get specific suggestions on how to improve your next posts for better visibility.

Quick Start

Analyze this X post for algorithm alignment: "I think remote work is overrated."

Frequently Asked Questions about x-algorithm-optimizer

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

FAQPage Schema
How do I optimize my X posts for better algorithmic reach?▼

Debugging underperforming X content involves analyzing recent posts against the Phoenix ranking system mechanics to identify algorithmic weaknesses and generate actionable suggestions for visibility improvement.

What is the best way to analyze X post performance against the algorithm?▼

Analyzing X post performance against the algorithm requires using Python scripts to evaluate content alignment with the xai-org/x-algorithm codebase and identify tactical areas for engagement improvement.

How does the X Phoenix ranking system evaluate tweets?▼

The X Phoenix ranking system evaluates tweets through a neural recommendation architecture that prioritizes specific engagement metrics, requiring content to be structured to maximize replies and shares for optimal visibility.

Why does my X Twitter content get low engagement despite good hashtags?▼

Low engagement on X content despite good hashtags occurs when posts fail to align with the neural recommendation system's priorities; analyzing content mechanics against the algorithm reveals structural weaknesses in replies and shares.

Do I need Python to analyze and optimize my Twitter posts algorithmically?▼

Yes, you need Python to execute the analysis scripts that evaluate your X posts against the x-algorithm codebase and generate tactical optimization recommendations for maximum reach.

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