Analyze and rewrite tweets to maximize reach using Twitter's open-source recommendation algorithms.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add composiohq/awesome-claude-skills --skill twitter-algorithm-optimizerCompatible with
Supported agents
Applies Real-graph, SimClusters, TwHIN, and Tweepcred models to identify optimization opportunities and explain algorithmic ranking decisions
Identifies engagement signals (likes, replies, retweets, bookmarks) and negative signals (blocks, reports, mutes) that affect tweet distribution
Rewrites tweets to trigger specific engagement patterns, target community resonance, and strengthen t
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontwitter-algorithm-optimizerExecute the skills CLI command in your project's root directory to begin installation:
epx add composiohq/awesome-claude-skills --skill twitter-algorithm-optimizerFetches twitter-algorithm-optimizer from composiohq/awesome-claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/twitter-algorithm-optimizer
Restart Cursor to activate twitter-algorithm-optimizer. Access via /twitter-algorithm-optimizerin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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twitter-algorithm-optimizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
twitter-algorithm-optimizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
twitter-algorithm-optimizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: twitter-algorithm-optimizer is the kind of skill you can hand to a new teammate without a long onboarding doc.
twitter-algorithm-optimizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added twitter-algorithm-optimizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: twitter-algorithm-optimizer is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: twitter-algorithm-optimizer is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added twitter-algorithm-optimizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
twitter-algorithm-optimizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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