explicit-configuration
Prefer explicit configuration over framework defaults to prevent environment-dependent failures
Prefer explicit configuration over framework defaults to prevent environment-dependent failures
Use when Rust's ownership system including ownership rules, borrowing, lifetimes, and memory safety. Use when working with Rust memory management.
Use when modern C++ features from C++11/14/17/20 including auto, lambdas, range-based loops, structured bindings, and concepts.
Use when C++ templates and metaprogramming including template specialization, SFINAE, type traits, and C++20 concepts.
Use when blocks (closures) and Grand Central Dispatch in Objective-C for concurrent programming including block syntax, capture semantics, dispatch queues, dispatch groups, and patterns for thread-safe asynchronous code.
Use when objective-C protocols for defining interfaces and categories for extending classes, including formal protocols, optional methods, class extensions, and patterns for modular, reusable code design.
Use when nim-C interoperability including calling C from Nim, wrapping C libraries, importc/exportc pragmas, header generation, FFI patterns, and building high-performance systems code integrating Nim with existing C codebases.
Use when lua C API for extending Lua with native code including stack operations, calling C from Lua, calling Lua from C, creating C modules, userdata types, metatables in C, and performance optimization techniques.
Use when working with modern C++ codebases requiring features from C++11 to C++23 including lambdas, move semantics, ranges, and concepts.
Use when lua tables as the universal data structure including arrays, dictionaries, objects, metatables, object-oriented patterns, data structures, and advanced table manipulation for building flexible, efficient Lua applications.
Use when fundamental C data structures including arrays, structs, linked lists, trees, and hash tables with memory-efficient implementations.
Use when nim's metaprogramming including macros, templates, compile-time evaluation, AST manipulation, code generation, DSL creation, and leveraging compile-time computation for performance and abstraction in systems programming.
Use when nim's memory management including garbage collection strategies, manual memory control, destructors, move semantics, ref/ptr types, memory safety, and optimization techniques for performance-critical systems programming.
Use when implementing compile-time metaprogramming in Crystal using macros for code generation, DSLs, compile-time computation, and abstract syntax tree manipulation.
Use when creating generic and type-safe C++ libraries with templates, SFINAE, concepts, and compile-time metaprogramming.
Use when C++ smart pointers including unique_ptr, shared_ptr, and weak_ptr for automatic memory management following RAII principles.
Use when managing memory safely in C++ with smart pointers including unique_ptr, shared_ptr, weak_ptr, and RAII patterns.
Use when implementing data structures in C including arrays, linked lists, trees, and hash tables with manual memory management.
PyTorch-native Graph Neural Network framework for molecules and proteins. Suitable for building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, and retrosynthesis. If you need pretrained models and diverse feature extractors, use deepchem; if you need benchmark datasets, use pytdc.
Transform requirements into precise specifications for coding tasks
Internal trycycle subskill — do not invoke directly.
Internal trycycle subskill — do not invoke directly.