pyraxo/muscle

combat-systems-worker

Implement shared combat-rule systems such as throws, cancels, combo logic, and simultaneous-action ordering.

defense-parity-worker

Implement source-accurate defense, parry, pushblock, and throw-vs-defense behavior.

ninja-parity-worker

Port Ninja move, state, and owned-object behavior from source to the Python runtime.

physics-parity-worker

Implement hurtbox, hurt-state, collision, and bounds parity for the shared runtime.

training-signoff-worker

Align env/training surfaces with runtime truth and lock down parity signoff artifacts.

pufferlib

Best practices and guidance for developing PufferLib reinforcement learning environments. Use when creating RL environments, implementing observation/action spaces, setting up vectorization, training policies, or integrating with PufferLib's API.