x-ranking-engine
CommunityTune the feed ranking engine with clarity.
AuthorElemontCapital
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill helps data scientists and engineers understand and reason about the machine learning models that determine the final order of the For You timeline, enabling precise interpretation of architecture, weights, and calibration.
Core Features & Use Cases
- Explain how the Heavy Ranker (MaskNet/Phoenix) architecture influences candidate scoring and how feature interactions affect rankings.
- Clarify how Multi-Task Learning heads produce probabilities for actions like Like, Reply, and Author Reply, and how these are calibrated before weighting.
- Provide guidance on diagnosing ranking behavior, adjusting weights, and validating the impact on diversity and recency.
Quick Start
Ask the skill to walk through how a sample candidate would be scored by the Heavy Ranker using the current weights and calibration.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: x-ranking-engine Download link: https://github.com/ElemontCapital/x-algorithm-skills/archive/main.zip#x-ranking-engine Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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