name

SKILL.md

@@ -1,5 +1,5 @@
 ---
-name: ml_debug
+name: ml-debug
 description: "Wassname's practical folklore for debugging ML systems: convergence issues, loss surface analysis, gradient analysis, sweep methodology, and same-seed comparisons. Use when stuck on training, designing sweeps, or analyzing experiment results."
 ---
 

pinn/SKILL.md

@@ -1,5 +1,5 @@
 ---
-name: pinn-debug
+name: pinn
 description: "PINN (Physics-Informed Neural Network) training best practices and debugging. Use when building, debugging, or optimizing PINNs for PDEs, ODEs, or physics-constrained learning problems. Sub-skill of ml-debugging."
 ---
 

rl/SKILL.md

@@ -1,5 +1,5 @@
 ---
-name: rl-debug
+name: rl
 description: "RL-specific debugging: probe environments, reward engineering, diagnostics, hyperparameter defaults, and reference implementations. Sub-skill of ml-debugging. Use when debugging reinforcement learning systems."
 ---