01Learn families instead of a random list
OLL shapes can be grouped by oriented edges, corner patterns and familiar silhouettes such as Sune, lightning, T, P and square families. Grouping reduces the recognition search space and makes review sessions coherent.
Sune and Anti-Sune are strong early cases because they are common, finger-trick friendly and already part of two-look OLL. T-shape is another simple case whose edge-orientation trigger appears elsewhere.
02What every SupaKewber case page includes
Each individual page provides a rotatable 3D case, angle cues, setup moves, primary and alternative algorithms, finger-trick notes, common errors and related mirror cases.
An on-page timer stores personal executions and can submit signed-in training attempts. Community averages appear only after enough distinct SupaKewber users have contributed, avoiding misleading statistics from a tiny sample.
03Use a learning order that protects retention
Add two or three cases, mix them with older cases and return after increasing intervals. A new case is not stable until it can be recognized from random U rotations and several camera angles.
When a case fails in a full solve, identify whether recognition, grip or move memory caused the failure. Replace the algorithm only when repeated timing shows an alternative is more reliable.
04Featured OLL cases
Begin with Sune, Anti-Sune and T-shape. Their pages demonstrate the full rich-case format and link into the broader OLL and two-look learning architecture.
Use Kewber School and the random OLL trainer after isolated practice so the case appears without a page title revealing the answer.