AI prompts.
Agent skills.

Analysis skill for detecting and mitigating barren plateaus in variational circuits

Cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Enables building and training quantum circuits with automatic differentiation, seamless integration with PyTorch/JAX/TensorFlow, and device-independent execution across simulators and quantum har...

PyMC probabilistic programming skill for hierarchical Bayesian models in physics data analysis

Single-file deep reinforcement learning implementations (CleanRL). High-quality standalone implementations of PPO, DQN, C51, SAC, DDPG, TD3 with research-friendly features. Each algorithm is a self-contained file with ~300-500 lines. Includes Atari, MuJoCo, Procgen, PettingZoo multi-agent, and JA...

Bengio's GFlowNets: Generative Flow Networks that sample proportionally to reward. Diversity over maximization for causal discovery and molecule design.

Second-order skill synthesizing Patrick Kenny's discrete active inference framework with K-Scale's JAX/MuJoCo robotics stack for predictive coding in robot locomotion

Keras high-level neural network API. Use for deep learning.

Machine learning development with JAX, functional programming patterns, and high-performance computing.

Fine-tune and serve Physical Intelligence OpenPI models (pi0, pi0-fast, pi0.5) using JAX or PyTorch backends for robot policy inference across ALOHA, DROID, and LIBERO environments. Use when adapting pi0 models to custom datasets, converting JAX checkpoints to PyTorch, running policy inference se...

- User asks about robot simulation, humanoid locomotion, or RL policy training

Machine learning development with JAX, functional programming patterns, and high-performance computing.