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x-algorithm

Analyze and optimize X posts with CLI commands for engagement scoring.

Updated Jan 25, 2026
Search Tags:#optimization#engagement#twitter#signals#ranking#x-algorithm
One-click install
npx skills add https://github.com/hathbanger/fridas-choppers-gtm --skill x-algorithm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: x-algorithm
Source: https://github.com/hathbanger/fridas-choppers-gtm/tree/main/.claude/skills/x-algorithm
Command: npx skills add https://github.com/hathbanger/fridas-choppers-gtm --skill x-algorithm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps teams and creators maximize reach on X (Twitter) by analytically scoring and optimizing tweet content for the For You feed.

Core Features & Use Cases

  • Signal-based scoring: Predicts engagement signals (e.g., P(favorite), P(reply), P(repost), P(quote), P(click)) to compute a final score for each post.
  • Per-post and thread optimization: Analyzes drafts and threads to generate high-engagement variations.
  • CLI-driven workflow: Exposes commands to analyze, optimize, view signals, and generate hooks for more engaging posts.
  • Use case examples: Marketers launching product updates, creators building engagement loops, or teams testing different hooks to maximize reach.

Quick Start

/x-algorithm analyze "Just shipped a new feature" /x-algorithm optimize "Just shipped a new feature" /x-algorithm signals /x-algorithm hooks

Frequently Asked Questions about x-algorithm

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

FAQPage Schema
How do I optimize tweets for the X For You feed?▼

To optimize tweets for the X For You feed, you can use a signal-driven scoring workflow to predict engagement signals like favorites, replies, and reposts. This process analyzes drafts to compute a final score and generate high-engagement variations.

What engagement signals are predicted for Twitter posts?▼

Predicted engagement signals for Twitter posts include the probability of favorites, replies, reposts, quotes, and clicks. These signals are calculated and ranked to compute a final score that maximizes your reach.

Can I analyze and optimize an entire Twitter thread?▼

Yes, you can analyze and optimize an entire Twitter thread. The workflow supports per-post and thread optimization, analyzing the drafts to generate variations that maximize engagement loops across the entire thread.

What is the best way to generate hooks for tweets?▼

The best way to generate hooks for tweets is by using a CLI-driven workflow that analyzes your drafts and predicts engagement signals. This provides specific commands to generate more engaging hooks for your posts.

Does this Twitter engagement optimizer require any dependencies?▼

No, this Twitter engagement optimizer does not require any dependencies. It operates as a standalone CLI-based workflow to analyze, optimize, view signals, and generate hooks for your drafts.

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