scoring-engine
Perform statistical analysis to rank and compare data items.
Install
mkdir -p .claude/skills/scoring-engine && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/3888" && unzip -o skill.zip -d .claude/skills/scoring-engine && rm skill.zipInstalls to .claude/skills/scoring-engine
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Statistical scoring with z-scores, percentiles, freshness decay, and cross-category normalization. Rank and compare items with confidence scoring.Key capabilities
- →Calculate Z-scores and percentiles
- →Apply freshness decay to time-sensitive data
- →Normalize scores across different categories
- →Calculate confidence scores based on sample size
- →Remove outliers using IQR method
How it works
The engine processes datasets to calculate statistical thresholds and applies decay functions to rank items objectively.
Inputs & outputs
When to use scoring-engine
- →Rank items by performance
- →Calculate Z-scores for datasets
- →Normalize data across categories
- →Apply freshness decay to data
About scoring-engine
The engine processes datasets to calculate normalized scores and rankings. It incorporates freshness decay, percentiles, and z-scores to provide objective comparisons across different data categories.
Statistical scoring with z-scores, percentiles, freshness decay, and cross-category normalization. Rank and compare items with confidence scoring.
When not to use it
- →When data is not numerical or lacks a clear baseline
- →When sample sizes are too small for statistical significance
Limitations
- →Requires sufficient sample size for confidence scoring
- →Outlier removal may discard valid extreme data points
How it compares
It uses percentile-based scoring and freshness decay to handle skewed data and time-sensitive content, unlike simple mean-based ranking.
Compared to similar skills
scoring-engine side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| scoring-engine (this skill) | 1 | 6mo | No flags | Intermediate |
| excel-analysis | 22 | 9mo | No flags | Intermediate |
| csv-data-summarizer | 15 | 10mo | Review | Beginner |
| finance-manager | 12 | 9mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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