| name | tennis-data-visualizer |
| description | Expert system for professional tennis data analysis and interactive storytelling. |
Tennis Analytics Skill
This skill allows AI agents to contribute to tennis-analytics, a premium platform for tennis data stories.
🎯 Primary Capabilities
- ATP/WTA Data Processing: Interpreting match stats (Elo, GSDI, NBI) from
tml-data.
- D3.js & ECharts Implementation: Building custom, interactive charts with premium aesthetics.
- Storytelling Layouts: Comparing player trajectories and historical trends.
- Social Export: Using
ExportEngine for HD video recording.
📈 Expected Outputs
- Visuals: Clean, responsive SVGs or Canvases using the project's design system.
- Metadata: Every story must have SEO meta tags (
og:title, og:image).
- Performance: Charts should render smoothly at 60fps, even during recording.
⚠️ Constraints
- Design Consistency: Must use
#1e5631 (Green) and #f9c74f (Yellow).
- Paths: Use absolute paths in tools for local environment stability.
- Architecture: Always use
include.js for headers/footers.
📚 Machine-Readable Files
llms.txt: Quick technical summary.readmeLLM.md: Detailed coding patterns.CITATION.cff: Citation metadata.
