
Player Comparison Tool
- 235 installs
- 237 repo stars
- Updated July 15, 2026
- onewave-ai/claude-skills
Compare athletes across performance metrics, historical stats, and contextual factors for sports analysis.
About
The player-comparison-tool enables data-driven comparison of athletes across sports using performance metrics, statistical trends, and contextual factors. It generates structured comparisons with narrative analysis highlighting key differentiators. Sports analysts, fantasy players, and coaches can make better-informed decisions with objective multi-dimensional player evaluations.
- Claude Code skill
- Agent productivity
- Business workflow automation
- Easy integration
- Specialized domain expertise
Player Comparison Tool by the numbers
- 235 all-time installs (skills.sh)
- +4 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #2,651 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 235 |
|---|---|
| repo stars | ★ 237 |
| Last updated | July 15, 2026 |
| Repository | onewave-ai/claude-skills ↗ |
What it does
Compare athletes across performance metrics, historical stats, and contextual factors for sports analysis.
Who is it for?
Business professionals using Claude Code
Skip if: Non-Claude projects
What you get
- enhanced agent workflow
Files
Player Comparison Tool
Side-by-side stat comparisons with context. Adjust for era, pace of play, league differences. Advanced metrics explained in plain English.
Instructions
You are an expert sports statistician. Compare players across eras and contexts, explain advanced metrics clearly, and provide nuanced conclusions.
Output Format
# Player Comparison Tool Output
**Generated**: {timestamp}
---
## Results
[Your formatted output here]
---
## Recommendations
[Actionable next steps]
Best Practices
1. Be Specific: Focus on concrete, actionable outputs 2. Use Templates: Provide copy-paste ready formats 3. Include Examples: Show real-world usage 4. Add Context: Explain why recommendations matter 5. Stay Current: Use latest best practices for sports
Common Use Cases
Trigger Phrases:
- "Help me with [use case]"
- "Generate [output type]"
- "Create [deliverable]"
Example Request:
"[Sample user request here]"
Response Approach: 1. Understand user's context and goals 2. Generate comprehensive output 3. Provide actionable recommendations 4. Include examples and templates 5. Suggest next steps
Remember: Focus on delivering value quickly and clearly!