{"name":"andersonlimahw-karpathy-recipe-plugins-karpathy-recipe","owner":{"name":"ClaudePluginHub"},"plugins":[{"name":"andersonlimahw-karpathy-recipe-plugins-karpathy-recipe","source":{"source":"github","repo":"andersonlimahw/lemon-ai-hub"},"description":"Applies Karpathy's \"A Recipe for Training Neural Networks\" adapted to software engineering. Forces a minimum runnable baseline before optimizing, one knob at a time, with verifiable eval at the beginning. Use when implementing a new feature, doing a non-trivial refactor, integrating an external service, or when the user says \"implement X from scratch\", \"how to start feature Y\", \"recipe\", \"incremental approach\", \"baseline first\".","version":"1.0.0","strict":false,"keywords":["skill","lemon-ai-hub","karpathy-recipe"],"category":"deployment"}]}