Specialized skill for finite state machine design and optimization in FPGAs
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Specialized skill for finite state machine design and optimization in FPGAs
Specialized skill for creating and debugging SystemVerilog assertions for FPGA verification
A/B testing skill for player segmentation.
Physically-based rendering skill for BRDF models and material workflows.
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.
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 recommendations.
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 patterns, and optimize launch latency for inference.
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 parameters.
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.
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, and profile power/thermal characteristics.
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.
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.
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.
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.
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.
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.
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 filter implementations, and profile stencil memory bandwidth.
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.
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 oversubscription scenarios, and compare managed vs explicit memory.
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.
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.
Deploy the application to a target environment. Use when deploying code, releasing, or pushing to staging/production. Requires explicit user invocation.
Generate AGENT.md files with proper YAML frontmatter, role definitions, expertise areas, and prompt templates following Babysitter SDK conventions.
Analyze processes, identify workflows, define boundaries and scope, and map process requirements for specialization creation.
Generate process JS files following Babysitter SDK patterns including task definitions, quality gates, breakpoints, and proper io configuration.
Integrate skills and agents into process files by updating task definitions with appropriate skill.name and agent.name references.
Validate process JS files for correct SDK patterns, task definitions, syntax, and quality gate implementation.
Generate SKILL.md files with proper YAML frontmatter, capabilities documentation, and usage examples following Babysitter SDK conventions.
Research specialization domains, compile references, analyze best practices, and gather comprehensive knowledge for new specialization creation.
Validate specialization completeness across all 7 phases, score each phase, identify gaps, and generate validation reports.
Mobile accessibility testing skill for WCAG compliance, VoiceOver/TalkBack validation, dynamic type support, color contrast analysis, and accessibility auditing across iOS and Android platforms.
Apple App Store submission and management expertise
Automated mobile build, test, and deployment with Fastlane
Comprehensive mobile testing framework expertise
Skill for network condition simulation, emulation, and chaos engineering
Comprehensive network testing, benchmarking, and performance validation skill
Expert skill for packet capture and analysis using libpcap/Wireshark. Execute tcpdump/tshark commands, write BPF filter expressions, analyze pcap files, decode protocol layers, calculate statistics, and generate Wireshark dissectors.
Expert skill for protocol fuzzing, vulnerability discovery, and security testing
Specialized skill for binary and text protocol parsing and serialization. Design and validate protocol message formats, generate parser code from specifications, implement state machine parsing, and handle endianness and byte alignment.
Deep integration with socket APIs for TCP/UDP programming across platforms. Execute socket operations, analyze socket options and buffer configurations, debug connection states, and generate optimized socket code for different I/O models.
Expert skill for TLS/SSL implementation and certificate management. Generate and validate TLS configurations, create and manage X.509 certificates, analyze cipher suite security, debug TLS handshake failures, and implement certificate pinning.
Specialized skill for WebSocket protocol implementation and testing. Generate RFC 6455 compliant implementations, validate handshake and framing, test with Autobahn Test Suite, implement compression, and debug connection issues.
Expert skill for distributed cache design, implementation, and optimization using Redis and Memcached. Design cache architectures, configure eviction policies, implement caching patterns (cache-aside, write-through, write-behind), monitor cache performance, and optimize memory usage.
Expert skill for Gatling simulation development, load test execution, and performance analysis. Write Gatling simulations in Scala DSL, configure injection profiles and feeders, define assertions, analyze HTML reports, and integrate with Gatling Enterprise.
Expert skill for JavaScript memory leak detection using Facebook MemLab. Configure MemLab scenarios, execute memory leak detection runs, analyze heap snapshots, identify detached DOM elements, find event listener leaks, and integrate with CI pipelines.
Expert skill for network performance analysis and optimization. Analyze packet captures, identify network latency bottlenecks, configure TCP tuning parameters, analyze connection pooling behavior, debug TLS handshake performance, and optimize HTTP/2 and HTTP/3 settings.
Expert skill for Node.js-specific profiling and optimization. Use V8 CPU profiler, analyze heap snapshots, configure clinic.js tools (Doctor, Flame, Bubbleprof), debug event loop blocking, analyze async hooks performance, and optimize V8 JIT compilation.
Statistical experiment design and analysis capabilities for product experimentation
Deep competitive analysis and market monitoring capabilities for product strategy
Feature flag configuration and rollout planning for controlled releases