twitter-algorithm

Score tweets and analyze performance using Twitter's open-source algorithm insights.

Updated Feb 28, 2026

Search Tags:#content strategy #social media #algorithm #engagement #twitter #virality #reach

Ready to run

npx skills add https://github.com/tunnckoCore/agent-skills --skill twitter-algorithm-tunnckocore

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: twitter-algorithm
Source: https://github.com/tunnckoCore/agent-skills/tree/main/skills/twitter-algorithm
Command: npx skills add https://github.com/tunnckoCore/agent-skills --skill twitter-algorithm-tunnckocore

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps users understand and leverage the open-source Twitter algorithm to maximize tweet visibility and organic reach, avoiding common pitfalls and engagement bait.

Core Features & Use Cases

Algorithm Insights: Provides evidence-based strategies derived from analyzing Twitter's the-algorithm codebase.
Content Optimization: Offers guidelines on tweet structure, media, hashtags, and timing to boost visibility.
Reputation Management: Explains how TweepCred and engagement ratios affect reach.
Use Case: A content creator can use this Skill to refine their posting strategy, ensuring their tweets are optimized for the algorithm's current signals, leading to increased impressions and engagement without resorting to gimmicks.

Quick Start

Use the twitter-algorithm skill to score a draft tweet by running the command: ./scripts/score-tweet.sh "Your tweet text here".

Frequently Asked Questions about twitter-algorithm

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

FAQPage Schema

How does the Twitter algorithm affect organic reach and tweet visibility?▼

Twitter's algorithm affects organic reach by using SimClusters, TweepCred, and engagement decay mechanics to score and rank tweets. This Skill analyzes Twitter's open-source algorithm to provide evidence-based strategies for optimizing content timing, structure, and engagement to maximize visibility.

How do I score a tweet draft for algorithmic visibility before posting?▼

You score a tweet draft for algorithmic visibility by running the included scoring script with your tweet text. The script evaluates your content against Twitter's algorithmic signals, providing feedback on how to optimize tweet structure, media, and hashtags for better organic reach.

What is TweepCred and how does it impact Twitter engagement and reach?▼

TweepCred is a reputation scoring mechanism within Twitter's algorithm that directly impacts tweet reach. This Skill explains how TweepCred and engagement ratios affect your organic visibility, offering strategies to manage your account reputation and improve content distribution.

Can I optimize Twitter content strategy without relying on engagement bait?▼

Yes, you can optimize Twitter content strategy without engagement bait by applying evidence-based insights from Twitter's open-source algorithm. This Skill provides guidelines on tweet structure, media, hashtags, and timing to boost visibility naturally, avoiding common gimmicks and pitfalls.

What's the best way to analyze tweet performance using algorithm insights?▼

The best way to analyze tweet performance using algorithm insights is by utilizing the provided scripts to evaluate tweets against SimClusters and engagement decay mechanics. This approach reveals how algorithmic signals influence impressions, helping you refine your content strategy for increased organic reach.

Do I need any dependencies or special setup to run the tweet scoring scripts?▼

No dependencies are required to run the tweet scoring scripts. This Skill is self-contained with included scripts and references, allowing you to immediately analyze draft tweets and apply Twitter algorithm insights without installing external packages or configuring a complex environment.