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player-comparison-tool

2.9

by OneWave-AI

83Favorites
101Upvotes
0Downvotes

Side-by-side stat comparisons with context. Adjust for era, pace of play, league differences. Advanced metrics explained in plain English.

sports analytics

2.9

Rating

0

Installs

Data & Analytics

Category

Quick Review

The skill provides a basic framework for player comparison with good structural elements (output format, best practices), but lacks critical implementation details. The description mentions era adjustments, pace of play, and league differences, but no methodology, formulas, or data sources are provided. Task knowledge is minimal—no guidance on how to actually perform statistical adjustments, calculate advanced metrics, or access player data. The structure is clear but generic, using a template that doesn't contain sport-specific content. Novelty is moderate: while cross-era comparisons with contextual adjustments could be valuable, the current implementation is too high-level to meaningfully reduce token costs compared to a CLI agent doing the same research. To improve, the skill needs concrete formulas for era adjustments, definitions of advanced metrics (PER, VORP, WAR, etc.), data normalization methods, and sport-specific comparison frameworks.

LLM Signals

Description coverage4
Task knowledge2
Structure4
Novelty3

GitHub Signals

27
6
1
1
Last commit 92 days ago

Publisher

OneWave-AI

OneWave-AI

Skill Author

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