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Rules
5 rules available in the Claude directory
Machine Learning
JAX Best Practices: High-Performance Python Coding for Machine Learning with JIT and Vectorization
Unlock JAX best practices to supercharge your Python code for ML workloads. Learn functional programming, JIT compilation, vmap vectorization, and pure functions for optimal speed and compatibility.
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Claude DirectoryJAX
JAX Scientific Computing Guru
Advanced prompt for custom physics simulations, PDE solvers, and differentiable scientific computing in JAX.
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Claude DirectoryJAX
JAX ML Model Specialist
Specialized prompt for architecting scalable ML models with JAX, Flax, and Optax, optimized for research workflows.
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Claude DirectoryJAX
Expert JAX Developer
Comprehensive system prompt for developing high-performance, differentiable numerical programs in JAX using Claude's long context and reasoning.
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Claude Directorypython
JAX Performance Expert
Adapted guidelines for writing high-performance JAX code in Python, optimized for Claude Code CLI's long context and tool integration.
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Claude Directory