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twitter-algorithm-optimizer

8.2

by ComposioHQ

170Favorites
389Upvotes
0Downvotes

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.

social-media

8.2

Rating

0

Installs

AI & LLM

Category

Quick Review

Excellent skill with comprehensive Twitter algorithm knowledge and practical optimization strategies. The description clearly conveys the skill's purpose, and the task knowledge is outstanding with detailed explanations of Real-graph, SimClusters, TwHIN, and engagement signals. The structure is logical with clear sections, though the single-file format is lengthy (could benefit from modular organization for complex skills). Novelty is good—while tweet optimization exists, the deep algorithm-specific approach (Real-graph, SimClusters, etc.) and systematic framework would be token-intensive for a CLI agent to replicate. Strong practical examples and concrete before/after optimizations make this immediately actionable. Minor improvement: could reference external algorithm documentation or code files to reduce SKILL.md length, but current structure remains clear and usable.

LLM Signals

Description coverage9
Task knowledge10
Structure8
Novelty7

GitHub Signals

24,329
2,390
196
50
Last commit 1 days ago

Publisher

ComposioHQ

ComposioHQ

Skill Author

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Publisher

ComposioHQ avatar
ComposioHQ

Skill Author

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