发现 testing security framework internals 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Guidance for optimizing numerical linear algebra computations, particularly finding eigenvalues of small dense matrices faster than standard library implementations. This skill applies when the task involves pe...
Guidance for implementing CLI tools that perform inference using PyTorch models in native languages (C/C++/Rust). This skill should be used when tasks involve extracting weights from PyTorch .pth files, impleme...
Guide for building CompCert, the formally verified C compiler, from source. This skill should be used when compiling, building, or installing CompCert, or when working with Coq-based software that has strict de...
Guidance for implementing batching schedulers for LLM inference systems with compilation-based accelerators. This skill applies when optimizing request batching to minimize cost while meeting latency thresholds...
Guide for implementing MIPS CPU interpreters/emulators, particularly for running compiled MIPS ELF binaries. This skill applies when building virtual machines to execute MIPS32 code, creating emulators for retr...
Guide for implementing combinational/sequential logic circuits using gate-level descriptions in text-based simulators. This skill applies when building circuits for mathematical functions like integer square ro...
Guidance for building digital logic circuits that compute composite functions like Fibonacci of integer square root. This skill applies when implementing combinational and sequential logic in gate-level simulat...
Guidance for implementing tensor parallelism in PyTorch, including ColumnParallelLinear and RowParallelLinear layers. This skill should be used when implementing distributed tensor parallel operations, sharding...
Guidance for compiling POV-Ray 2.2 (a 1990s-era ray tracing software) from source on modern Linux systems. This skill should be used when the task involves downloading, extracting, and building POV-Ray 2.2 or s...
Guide for building metacircular evaluators in Scheme-like languages. This skill applies when implementing interpreters that can interpret themselves, handling tasks involving eval/apply loops, environment manag...
Guidance for implementing neural network inference (like GPT-2) under extreme code size constraints. This skill should be used when tasks require implementing ML model inference in minimal code (code golf), par...
Guidance for building MIPS interpreters or emulators that execute MIPS binaries. This skill applies when implementing CPU emulation, ELF loaders, instruction decoders, or syscall handlers for MIPS architecture....
Guidance for implementing PyTorch pipeline parallelism for distributed model training. This skill should be used when tasks involve implementing pipeline parallelism, distributed training with model partitionin...
Guidance for building Caffe from source and training CIFAR-10 models. This skill applies when tasks involve compiling Caffe deep learning framework, configuring Makefile.config, preparing CIFAR-10 dataset, or t...
Guidance for implementing high-performance portfolio optimization using Python C extensions. This skill applies when tasks require optimizing financial computations (matrix operations, covariance calculations,...
Guidance for building and fixing Cython extensions, particularly for numpy compatibility issues. This skill should be used when tasks involve compiling Cython code, fixing deprecated numpy type errors, or resol...
Guide for cross-compiling complex C programs (like DOOM) for embedded MIPS environments with custom VM runtimes. This skill applies when building software that targets MIPS architecture with limited stdlib supp...
This skill provides guidance for implementing custom compression encoders that must be compatible with existing decoders (especially arithmetic coding). It should be used when the task requires writing a compre...
This skill should be used when the user asks about "bun:ffi", "foreign function interface", "calling C from Bun", "native libraries", "dlopen", "shared libraries", "calling native code", or integrating C/C++ li...
Optimizes API performance through payload reduction, caching strategies, and compression techniques. Use when improving API response times, reducing bandwidth usage, or implementing efficient caching.
Research and explain GPU-driven rendering techniques, find academic papers on graphics algorithms (APV, Spherical Harmonics, BVH), explain complex rendering concepts, and bridge theory to wgpu implementation fo...
Review Rust code for type safety, validate GPU memory layouts (bytemuck, repr(C), alignment), suggest idiomatic patterns, catch GPU-specific safety issues, and help with refactoring during buffer consolidation
Validate glTF files against your loader, identify missing features for each phase of compatibility, debug loading failures, and guide your 5-phase glTF progression from simple to complex models
This skill should be used when the user asks to "evaluate a DSPy program", "test my DSPy module", "measure performance", "create evaluation metrics", "use answer_exact_match or SemanticF1", mentions "Evaluate c...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。