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TheMattBerman
TheMattBermanCOMMUNITY
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Website𝕏@themattbermanGitHub

x-algorithm-optimizer

Analyze X/Twitter posts with Phoenix retrieval and Grok ranking to predict engagement.

64|15|Updated Jan 20, 2026
Search Tags:#optimization#engagement#grok#phoenix#x-algorithm#for-you#weighted-scorer
One-click install
npx skills add https://github.com/TheMattBerman/x-algo-skill --skill x-algorithm-optimizer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: x-algorithm-optimizer
Source: https://github.com/TheMattBerman/x-algo-skill/tree/main
Command: npx skills add https://github.com/TheMattBerman/x-algo-skill --skill x-algorithm-optimizer

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Analyze post performance and optimize X/Twitter content using neural ranking to improve reach with data-driven guidance.

Core Features & Use Cases

  • Neural optimization of posts using Phoenix retrieval, Grok ranking, and the WeightedScorer.
  • Debugging underperforming content and diagnosing why posts fail to reach the right audience.
  • Deep dives into Phoenix and Grok mechanics to inform strategic content creation.

Quick Start

Analyze a sample X post to predict engagement and receive optimization recommendations.

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 X/Twitter posts for the For You feed?▼

X/Twitter post optimization uses neural ranking via Phoenix retrieval, Grok ranking, and a WeightedScorer to predict engagement probabilities and safety signals, maximizing your reach in the For You feed.

Why does my X post have low engagement and fail to reach the right audience?▼

Diagnosing underperforming X posts involves analyzing neural ranking signals and safety scores to identify why your content fails to trigger Phoenix retrieval and Grok ranking for target audience reach.

What is the best way to analyze X content performance using neural ranking?▼

Analyzing X content performance with neural ranking applies Phoenix retrieval and Grok mechanics to predict engagement probabilities, providing data-driven guidance to strategically optimize future posts.

Can I predict X/Twitter engagement probabilities before publishing a post?▼

Predicting X/Twitter engagement before publishing is possible by applying the WeightedScorer to your sample post, which evaluates neural ranking signals and safety metrics to forecast reach.

When do I need to understand Phoenix and Grok mechanics for X content creation?▼

Understanding Phoenix and Grok mechanics is needed when diagnosing why posts underperform or when strategizing content creation to intentionally trigger neural ranking signals for improved For You feed distribution.

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