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SkillsMP は MikeTreml/MissionControl から 1,968 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
MikeTreml/MissionControl収集済み skill 1,968 件中 40 件を表示しています。
Unreal Engine integration skill for C++/Blueprint development, actor lifecycle management, plugin development, and editor automation. Enables LLMs to interact with Unreal Editor through MCP servers for level manipulation, Blueprint generation, and automated…
原文の言語: 英語
Unreal Engine Gameplay Ability System (GAS) skill for attributes, abilities, and gameplay effects.
原文の言語: 英語
Unreal Engine Lumen skill for global illumination, reflections, and dynamic lighting.
原文の言語: 英語
Unreal Engine Material Editor skill for PBR workflows, material instances, shader complexity, and material functions.
原文の言語: 英語
Unreal Engine MetaSounds skill for procedural audio, real-time synthesis, and advanced audio graphs.
原文の言語: 英語
Unreal Engine Nanite skill for virtualized geometry, mesh streaming, and LOD-free workflows.
原文の言語: 英語
Unreal Engine networking skill for replication, RPCs, relevancy, and dedicated server architecture.
原文の言語: 英語
Unreal Engine Niagara VFX skill for particle simulations, GPU sprites, and procedural visual effects.
原文の言語: 英語
Unreal Engine Sequencer skill for cinematics, camera cuts, and in-game cutscenes.
原文の言語: 英語
Utility AI skill for scoring functions and decision making.
原文の言語: 英語
Vehicle simulation skill for wheel colliders, suspension, and aerodynamics.
原文の言語: 英語
Voice chat skill for echo cancellation and codec optimization.
原文の言語: 英語
Large world streaming skill for world partition.
原文の言語: 英語
Wwise integration skill for sound banks, RTPC, and interactive music.
原文の言語: 英語
Xbox GDK skill for achievements and certification.
原文の言語: 英語
ZBrush skill for decimation and normal map baking.
原文の言語: 判定不能
Expert integration with NVIDIA GPU-accelerated math libraries. Configure cuBLAS tensor core operations, generate cuBLAS GEMM calls, integrate cuDNN layers, handle algorithm selection, and support mixed-precision operations.
原文の言語: 英語
Expert skill for GPU debugging using CUDA-GDB and NVIDIA Compute Sanitizer. Detect memory errors, race conditions, uninitialized memory access, validate atomic operations, analyze kernel synchronization issues, and generate debugging reports with…
原文の言語: 英語
Expert skill for CUDA Graph capture and optimization for reduced launch overhead. Capture CUDA operations into graphs, instantiate and execute graph instances, update graph node parameters, profile graph vs stream execution, design graph-friendly kernel…
原文の言語: 英語
Deep integration with NVIDIA CUDA toolkit for kernel development, compilation, and debugging. Execute nvcc compilation with optimization flags analysis, generate and validate CUDA kernel code, analyze PTX/SASS assembly output, and configure execution…
原文の言語: 英語
High-performance kernel template libraries and DSLs. Generate CUTLASS GEMM configurations, implement Triton kernel definitions, configure epilogue operations, tune tile sizes and warp arrangements, and benchmark against cuBLAS.
原文の言語: 英語
Expert skill for automated GPU performance benchmarking and regression detection. Design micro-benchmarks, measure kernel execution time with CUDA events, calculate achieved vs theoretical performance, generate comparison reports, detect regressions in CI/CD,…
原文の言語: 英語
Specialized skill for GPU memory hierarchy analysis and optimization. Analyze memory access patterns, detect bank conflicts, optimize cache utilization, profile global memory bandwidth, and generate optimized memory access code patterns.
原文の言語: 英語
AMD HIP and ROCm ecosystem for cross-platform GPU development. Execute hipify conversion tools, generate HIP-compatible kernel code, handle CUDA/HIP API differences, configure ROCm toolchain, and profile with rocprof.
原文の言語: 英語
NVIDIA Collective Communications Library integration for multi-GPU operations. Initialize NCCL communicators, execute collective operations, configure communication topologies, profile collective performance, and support RCCL for AMD compatibility.
原文の言語: 英語
Expert skill for NVIDIA Nsight Systems and Nsight Compute profiling tools. Configure profiling sessions, analyze kernel reports, interpret occupancy metrics, roofline model data, memory bandwidth bottlenecks, and warp execution efficiency.
原文の言語: 英語
NVIDIA hardware video encoding/decoding integration. Configure NVENC encoding parameters, set up NVDEC decoding pipelines, handle codec configurations, integrate with CUDA for pre/post processing, and manage video memory surfaces.
原文の言語: 英語
Cross-vendor OpenCL runtime management and kernel development. Query platforms/devices, generate portable OpenCL C kernel code, handle vendor-specific extensions, manage contexts and command queues, compile and cache programs.
原文の言語: 英語
GPU parallel algorithm design patterns and implementations. Implement parallel reduction, scan/prefix sum, histogram, parallel sort algorithms, stream compaction, and work-efficient patterns optimized for specific GPU architectures.
原文の言語: 英語
Expert skill for optimized stencil and convolution pattern implementations on GPU. Design tiled stencil algorithms with halos, implement 2D/3D convolution kernels, optimize boundary condition handling, apply temporal blocking techniques, generate separable…
原文の言語: 英語
NVIDIA TensorRT model optimization and deployment. Convert models to TensorRT engines, configure optimization profiles and precision modes, apply INT8 calibration, analyze kernel fusion, generate custom plugins, and profile inference performance.
原文の言語: 英語
Expert skill for CUDA Unified Memory and memory prefetching optimization. Configure managed memory allocations, implement memory prefetch strategies, handle page fault analysis, configure memory hints and advise, profile unified memory migration, optimize for…
原文の言語: 英語
Vulkan compute shader development and pipeline configuration. Generate GLSL/HLSL compute shaders, compile to SPIR-V, configure compute pipelines, manage descriptor sets and resource bindings, implement memory barriers and synchronization.
原文の言語: 英語
Warp-level programming and SIMD optimization. Use warp shuffle instructions, voting functions, cooperative groups, warp-synchronous algorithms, and minimize warp divergence for optimal GPU performance.
原文の言語: 英語
Deploy the application to a target environment. Use when deploying code, releasing, or pushing to staging/production. Requires explicit user invocation.
原文の言語: 英語
Generate AGENT.md files with proper YAML frontmatter, role definitions, expertise areas, and prompt templates following Babysitter SDK conventions.
原文の言語: 英語
Analyze processes, identify workflows, define boundaries and scope, and map process requirements for specialization creation.
原文の言語: 英語
Generate process JS files following Babysitter SDK patterns including task definitions, quality gates, breakpoints, and proper io configuration.
原文の言語: 英語
Integrate skills and agents into process files by updating task definitions with appropriate skill.name and agent.name references.
原文の言語: 英語
Validate process JS files for correct SDK patterns, task definitions, syntax, and quality gate implementation.
原文の言語: 英語