Wnba Data
Access comprehensive WNBA player stats, team records, schedules, and historical data powered by machina-sports' AI.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add wnba-data npx -- -y @trustedskills/wnba-data
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"wnba-data": {
"command": "npx",
"args": [
"-y",
"@trustedskills/wnba-data"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
The wnba-data skill provides AI agents with access to official WNBA statistics, game results, and player performance metrics. It enables automated analysis of team standings, individual player stats, and historical game data without manual lookup.
When to use it
- Analyze current season trends for specific teams or players.
- Generate comparative reports on offensive and defensive efficiency.
- Track player statistics over a defined timeframe or across multiple seasons.
- Retrieve real-time or recent game summaries and final scores.
Key capabilities
- Access to official WNBA statistical datasets.
- Retrieval of game results and box scores.
- Support for querying specific player performance metrics.
- Data aggregation for team standings and league-wide trends.
Example prompts
- "Compare the average points per game for top scorers in the 2023 season."
- "What was the final score of the last matchup between the Las Vegas Aces and the New York Liberty?"
- "List the defensive rebounding averages for all players on the Connecticut Sun roster this year."
Tips & gotchas
Ensure your queries specify clear timeframes or seasons, as historical data availability may vary. For complex multi-player comparisons, break requests into smaller batches to maintain accuracy.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.