Analyze X engagement signals and PhoenixScores to predict post performance.
npx skills add https://github.com/CloudAI-X/x-algo-skills --skill x-algo-engagement
Please help me install this Agent Skill. Skill: x-algo-engagement Source: https://github.com/CloudAI-X/x-algo-skills/tree/main/x-algo-engagement Command: npx skills add https://github.com/CloudAI-X/x-algo-skills --skill x-algo-engagement
The X engagement skill provides a clear reference for understanding the 18 engagement action types tracked by the X algorithm and how the Phoenix model uses these signals to predict post visibility and performance.
List the 18 engagement signals and their PhoenixScores for a sample post to interpret predicted engagement.
High-intent search queries and answers about installing and using this skill.
The X algorithm ranks posts by tracking 18 engagement action types, applying specific weightings across positive, sharing, and negative categories to predict visibility. These signals feed the Phoenix scorer pipeline to calculate post reach.
The 18 engagement action types include positive signals like Favorite, Reply, Retweet, and Quote, alongside sharing and negative signals. Each action carries specific weightings used by the Phoenix model to calculate overall post performance.
Diagnose lost reach by inspecting the PhoenixScores struct fields and their mapping to action probabilities. Analyzing negative engagement signals alongside positive interactions reveals why the Phoenix scorer pipeline reduced your post visibility.
PhoenixScores predict post performance by mapping 18 engagement action types to action probabilities within a specific struct. These scores feed the Phoenix scorer pipeline to interpret ranking behavior and estimate overall visibility.
Evaluate content ideas by referencing the 18 engagement action types and their PhoenixScores to interpret predicted engagement. Understanding positive signal weightings helps anticipate how the Phoenix model will score your planned content.
Cross-reference PhoenixScores by using this skill alongside x-algo-scoring and x-algo-ml skills. Together they explain how engagement probabilities translate into final rankings and algorithmic decisions within the Phoenix scorer pipeline.
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