Sport Comparer Skill

Feature maturity comparison scans your sport directories to check for implementation of capture, derived, package, ingest, logging, and validation stages, then generates a matrix showing which features exist for each sport. Run the compare_sports.py script to analyze all sports at once and identify gaps.

Gap identification analyzes your pipeline stages for each sport, counts implementation scripts, detects directory presence, and reports which features are missing or incomplete. The maturity matrix highlights inconsistencies so you can prioritize what to build next.

Yes. The Skill generates actionable recommendations based on feature gaps and maturity scoring, showing you what to copy from mature sports or what to build for newer ones. This directly streamlines sprint planning and ensures consistent feature rollout.

The Skill analyzes six pipeline stages: capture, derived, package, ingest, logging, and validation. It checks for the presence of each stage across all supported sports and reports maturity scores for each combination.

Yes. The Skill performs read-only filesystem analysis and gracefully handles missing directories, so it works with your current structure. No data migration or preprocessing is required before running the comparison.