Agent skill · Content & Marketing

twitter-algorithm-optimizer

Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.

ComposioHQgithub.com/ComposioHQGitHub ↗
claude-codecodexcursor
Install
npx skills add ComposioHQ/awesome-claude-skills --skill twitter-algorithm-optimizer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 13 KB
Bundled scripts: none
Path: twitter-algorithm-optimizer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 71,763 · +585 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Twitter Algorithm Optimizer ## When to Use This Skill Use this skill when you need to: - **Optimize tweet drafts** for maximum reach and engagement - **Understand why** a tweet might not perform well algorithmically - **Rewrite tweets** to align with Twitter's ranking mechanisms - **Improve content strategy** based on the actual ranking algorithms - **Debug underperforming content** and increase visibility - **Maximize engagement signals** that Twitter's algorithms track ## What This Skill Does 1. **Analyzes tweets** against Twitter's core recommendation algorithms 2. **Identifies optimization opportunities** based on engagement signals 3. **Rewrites and edits tweets** to improve algorithmic ranking 4. **Explains the "why"** behind recommendations using algorithm insights 5. **Applies Real-graph, SimClusters, and TwHIN principles** to content strategy 6. **Provides engagement-boosting tactics** grounded in Twitter's actual systems ## How It Works: Twitter's Algorithm Architecture Twitter's recommendation system uses multiple interconnected models: ### Core Ranking Models **Real-graph**: Predicts interaction likelihood between users - Determines if your followers will engage with

What's inside
Steps it walks through
  1. When to Use This Skill
  2. What This Skill Does
  3. How It Works: Twitter's Algorithm Architecture
  4. Core Ranking Models
  5. Engagement Signals Tracked
  6. The Feed Generation Process
  7. Optimization Strategies Based on Algorithm Insights
  8. 1. Maximize Real-graph (Follower Engagement)
  9. 2. Leverage SimClusters (Community Resonance)
  10. 3. Improve TwHIN Mapping (Content-User Fit)
  11. 4. Boost Tweepcred (Authority/Credibility)
  12. 5. Maximize Engagement Signals
  13. 6. Prevent Negative Signals
  14. How to Optimize Your Tweets
More from awesome-claude-skills
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About this skill
What does the twitter-algorithm-optimizer skill do?

Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.

How do I install it?

Run `npx skills add ComposioHQ/awesome-claude-skills --skill twitter-algorithm-optimizer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ComposioHQ/awesome-claude-skills, a repository with 71,763 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going