How does this skill optimize my tweets?

It analyzes your drafts against Twitter's open-source ranking models, suggesting edits that trigger higher-weight engagement signals like replies, retweets, and bookmarks while avoiding negative signals.

Is this skill only for technical developers?

No. While the backend logic is based on technical system architecture, the output provides clear, actionable advice that any creator or brand can use to improve their social media performance.

Can it help me avoid reach penalties?

While it cannot bypass platform-wide policy enforcement, it identifies 'negative signals' like engagement bait or off-topic content that typically cause the algorithm to decrease distribution.

Does it use real data from Twitter's algorithm?

Yes, it is based on the technical documentation and architecture released by Twitter in their open-source repository, including concepts like Real-graph, SimClusters, and TwHIN.

Twitter Algorithm Optimizer

Name: Twitter Algorithm Optimizer
Author: EmaBilibili

byEmaBilibili

0•

Social Media Management

Analyzes and rewrites tweets to maximize reach and engagement based on insights from Twitter's open-source recommendation algorithms.

The Twitter Algorithm Optimizer helps users navigate the complexities of social media visibility by applying engineering-level insights from Twitter’s open-source recommendation systems. It evaluates tweet drafts against core ranking models like Real-graph, SimClusters, and TwHIN to identify specific opportunities for better engagement. Whether you are a developer sharing technical updates or a creator building topical authority, this skill provides actionable rewrites and strategic explanations grounded in how the algorithm actually ranks content, helping you minimize negative signals while maximizing your content's viral potential.

Key Features

01Algorithmic analysis using Real-graph and SimClusters principles

02Strategic guidance for building topical authority (TwHIN)

030 GitHub stars

04Optimization for specific metrics like replies, retweets, and bookmarks

05Identification of positive and negative ranking signals

06Engagement-focused tweet rewriting and editing

Use Cases

01Debugging underperforming content to improve future reach and visibility

02Optimizing technical tweet threads for specific developer communities

03Crafting high-authority content strategies grounded in ranking logic

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add emabilibili/my-portfolio twitter-algorithm-optimizer

For use in Claude.ai and ChatGPT

Key Features

01Algorithmic analysis using Real-graph and SimClusters principles

02Strategic guidance for building topical authority (TwHIN)

030 GitHub stars

04Optimization for specific metrics like replies, retweets, and bookmarks

05Identification of positive and negative ranking signals

06Engagement-focused tweet rewriting and editing

Use Cases

01Debugging underperforming content to improve future reach and visibility

02Optimizing technical tweet threads for specific developer communities

03Crafting high-authority content strategies grounded in ranking logic

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add emabilibili/my-portfolio twitter-algorithm-optimizer

For use in Claude.ai and ChatGPT