Validate football pitch coordinate transformations and standard event formats.
npx skills add https://github.com/luxunxiansheng/skills2026 --skill football-data-ai
Please help me install this Agent Skill. Skill: football-data-ai Source: https://github.com/luxunxiansheng/skills2026/tree/main/football-data-ai Command: npx skills add https://github.com/luxunxiansheng/skills2026 --skill football-data-ai
Football data pipelines often suffer from inconsistent pitch geometry, missing or misnamed keypoints, and non-standardized event formats, leading to errors in analytics and models.
Review the football data pipeline and advise on pitch coordinate transformations, keypoint naming, and standard event formatting for a new dataset.
High-intent search queries and answers about installing and using this skill.
Standardize football event formats by aligning common event types like passes, shots, and fouls across datasets. This ensures labeling consistency and robust validation for model training and analytics pipelines.
Align football event formats by mapping common event types like passes, shots, and fouls to standardized representations. This ensures dataset consistency for model training and robust analytics validation.
Football data pipelines have inconsistent pitch geometry and missing keypoints due to non-standardized event formats. Applying precise pitch coordinate transformations and standard keypoint naming resolves these modeling errors.
Yes, football data validation supports sports vision UI animation guidance by applying precise pitch geometry and event modeling. This validates coordinate accuracy and labeling consistency for visualizing sports data.
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