Tennis Data
Analyzes historical tennis match data—scores, stats, player performance—to identify trends and potential outcomes.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add tennis-data npx -- -y @trustedskills/tennis-data
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"tennis-data": {
"command": "npx",
"args": [
"-y",
"@trustedskills/tennis-data"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The tennis-data skill enables AI agents to access and analyze specific datasets related to tennis, facilitating informed decision-making based on match statistics or player performance metrics. It serves as a specialized data retrieval tool within the sports domain.
When to use it
- Analyzing historical match results to predict potential outcomes for upcoming tournaments.
- Comparing player statistics such as serve speed, win percentages, or break points saved.
- Generating reports on team or individual performance trends over specific seasons.
- Supporting fantasy tennis leagues with real-time or historical data insights.
Key capabilities
- Retrieval of structured tennis-related datasets.
- Support for statistical analysis and pattern recognition within match data.
- Integration with AI agents to enhance sports analytics workflows.
Example prompts
- "Retrieve the last five head-to-head matches between Novak Djokovic and Carlos Alcaraz."
- "Analyze Rafael Nadal's serve statistics during clay court tournaments in 2023."
- "Generate a summary of key performance indicators for the top 10 ATP players this year."
Tips & gotchas
Ensure your AI agent has proper permissions to access external sports databases if the skill relies on live feeds. This skill is best used when specific, data-driven insights are required rather than general tennis commentary.
Tags
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| Gen Agent Trust Hub | Pass |
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