player-comparison-tool — Claude Code skill: compare player stats
A skill that puts two players' stats side by side and adjusts for era, pace of play and league differences. Advanced metrics get explained in plain English.
npx skills add OneWave-AI/claude-skills --skill player-comparison-tool -a claude-codeWhat player-comparison-tool does
The skill turns your agent into a sports statistician. Give it two players and it builds a stat-by-stat comparison, factoring in when they played, how fast the game ran and which leagues they came from. Metrics like PER or true shooting get unpacked without jargon.
Everything lives in a single SKILL.md with instructions and an output template: a results block, then recommendations. No scripts, no external APIs — the model does the work, so verify the numbers against official sources before you publish them. That matters if the comparison feeds into real analysis.
Install runs through npx skills add on Claude, Codex, Cursor, Gemini CLI and OpenCode; GitHub Copilot uses gh skill install instead. MIT licensed, built by OneWave-AI.
What it helps with
- compare two players from different eras with a pace adjustment
- explain what PER or true shooting actually measures
- build a side-by-side stat table for an article
- break down how league differences affect a comparison
- draft a write-up with recommendations on both players
Example prompts for the agent
- Compare LeBron James and Michael Jordan, adjusting for era and pace of play
- Explain true shooting percentage in plain English
- Compare two guards from different leagues and tell me whose contribution matters more
How to install player-comparison-tool
1Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill player-comparison-tool -a claude-code2Manually: put the files in place
~/.claude/skills/player-comparison-tool/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/player-comparison-tool/
1Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill player-comparison-tool -a codex2Manually: put the files in place
.agents/skills/player-comparison-tool/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill player-comparison-tool -a cursor2Manually: put the files in place
.cursor/skills/player-comparison-tool/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install OneWave-AI/claude-skills player-comparison-tool2Manually: put the files in place
.github/skills/player-comparison-tool/SKILL.md1Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill player-comparison-tool -a gemini-cli2Platform CLI
gemini skills install https://github.com/OneWave-AI/claude-skills --path player-comparison-toolManually: put the files in place
.devin/skills/player-comparison-tool/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add OneWave-AI/claude-skills --skill player-comparison-tool -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about player-comparison-tool
How do I install player-comparison-tool in Claude?
Run npx skills add OneWave-AI/claude-skills --skill player-comparison-tool -a claude-code. The skill lands at ~/.claude/skills/player-comparison-tool/SKILL.md.
What does player-comparison-tool do?
It compares player stats side by side and adjusts for era, pace of play and league differences. Advanced metrics are explained in plain English.
Which platforms does the skill support?
Claude, Codex, Cursor, GitHub Copilot, Gemini CLI and OpenCode. Each platform has its own install command.
Source text
SKILL.md · MIT
---
name: player-comparison-tool
description: Side-by-side stat comparisons with context. Adjust for era, pace of play, league differences. Advanced metrics explained in plain English.
---
# 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
```markdown
# 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!
© OneWave-AI · MIT · OneWave-AI/claude-skills