NeVibeCode · 5 items
Skills and MCP tagged “reinforcement-learning”
pufferlib skill Skill for PufferLib: choose between native 5.0, PyPI 3.0.0, or pinned 4.0, validate Gymnasium contracts, adapt environments, and review checkpoints safely. Requires Python 3.10+ and native C/CUDA for training.
Claude Code CX Codex Cursor +1
1,900installs
stable-baselines3 skill A skill for training reinforcement learning agents with Stable Baselines3. Supports PPO, SAC, DQN and other algorithms, works with Gymnasium custom environments and vectorized rollouts.
Claude Code CX Codex Cursor +1
1,900installs
AgentDB Learning Plugins skill Generates and trains reinforcement learning plugins for autonomous agents across 9 algorithms using AgentDB.
Claude Code CX Codex Cursor +1
1,100installs
grpo-rlvr-training skill Configures GRPO and RLVR training pipelines for tasks with verifiable outcomes. Useful when evaluating models with code execution, unit tests, or strict schemas.
Claude Code CX Codex Cursor
2,600installs
spinning-up-deep-rl skill A deep RL knowledge base for Claude Code, covering algorithms, policy gradients, and silent bugs. Use it when building or checking RL experiments.
Claude Code
8installs