Sport Comparer Skill
CommunityCompare sports, identify implementation gaps.
Software Engineering#comparison#pipeline#gap analysis#development planning#feature parity#maturity matrix#sports data
Authorfstr21
Version1.0.0
Installs0
System Documentation
What problem does it solve?
When developing a multi-sport data platform, it's challenging to track the implementation status and feature parity across different sports. This Skill provides a clear comparison matrix, helping you prioritize development and ensure consistency.
Core Features & Use Cases
- Feature Maturity Matrix: Scans all sport directories to check for the existence of capture, derived, package, ingest, logging, and validation stages.
- Gap Identification: Clearly highlights which features are missing or partially implemented for each sport, making it easy to spot inconsistencies.
- Actionable Recommendations: Provides recommendations on what to build next or what to copy from mature sports to newer ones, streamlining your development roadmap.
- Use Case: Use this Skill to compare NFL and NBA pipeline maturity, identify what's missing from Soccer, or plan your next development sprints based on feature gaps.
Quick Start
Compare implementation status across all sports
python .claude/skills/sport-comparer/scripts/compare_sports.py
Dependency Matrix
Required Modules
rich
Components
scripts
💻 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: Sport Comparer Skill Download link: https://github.com/fstr21/sportsbot/archive/main.zip#sport-comparer-skill Please download this .zip file, extract it, and install it in the .claude/skills/ directory.