Can it help prevent my tweets from being suppressed?

Absolutely. The skill identifies negative signals, such as excessive engagement bait or content likely to be muted, which could lead to algorithmic penalties or reduced visibility.

Does it use real data from Twitter's algorithm?

Yes, it utilizes insights derived from Twitter's open-source recommendation system release to apply actual ranking principles and technical architecture insights to your content.

How does this skill optimize my tweets?

It analyzes your drafts against Twitter's open-source ranking models like Real-graph and SimClusters to suggest changes that maximize positive engagement signals such as likes, replies, and retweets.

Is this skill only for technical users?

While it runs as a Claude Code skill, its outputs are designed for any creator, marketer, or developer looking to improve their presence and reach on the platform through strategic content.

Twitter Algorithm Optimizer

Name: Twitter Algorithm Optimizer
Author: Tako3832

byTako3832

0•

ソーシャルメディア管理

Optimizes tweets for maximum reach and engagement by leveraging Twitter's open-source ranking algorithms and recommendation signals.

This skill transforms Claude into a specialized social media strategist by applying deep insights from Twitter's recommendation engine architecture, including Real-graph, SimClusters, and TwHIN models. It analyzes tweet drafts to identify specific algorithmic triggers, rewrites content to maximize high-weight engagement signals like retweets and replies, and provides detailed explanations based on how the system actually ranks content. It is particularly useful for creators, developers, and marketers who want to move beyond simple copywriting and build data-backed content strategies that align with current ranking mechanisms.

主な機能

01Analyzes drafts against Real-graph and SimClusters models

020 GitHub stars

03Rewrites content to trigger high-weight engagement signals

04Provides data-backed explanations for ranking improvements

05Optimizes for niche community resonance and topical authority

06Identifies and mitigates potential negative algorithmic signals

ユースケース

01Optimizing product and project launches for maximum community reach

02Refining opinion pieces to spark engagement while building authority

03Debugging underperforming content to increase organic visibility

主な機能

01Analyzes drafts against Real-graph and SimClusters models

020 GitHub stars

03Rewrites content to trigger high-weight engagement signals

04Provides data-backed explanations for ranking improvements

05Optimizes for niche community resonance and topical authority

06Identifies and mitigates potential negative algorithmic signals

ユースケース

01Optimizing product and project launches for maximum community reach

02Refining opinion pieces to spark engagement while building authority

03Debugging underperforming content to increase organic visibility