Extract text from PDF files, translate it to a target language, and save the result as a Markdown file. Use this skill when the user wants to translate a PDF document or asks to "convert PDF to Chinese".
Extract text from PDF files, translate it to a target language, and save the result as a Markdown file. Use this skill when the user wants to translate a PDF document or asks to "convert PDF to Chinese".
Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.
Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.
Sync delta specs from a change to main specs. Use when the user wants to update main specs with changes from a delta spec, without archiving the change.
Update an OpenSpec change by revising its existing planning artifacts and keeping them coherent with one another. Use when the user wants to revise a change's plan, fold new decisions into it, or reconcile its artifacts after an edit. Never edits code.
Generates optimized CUDA kernel code based on performance analysis reports or algorithm type. Reads NCU analysis reports (e.g. analysis.md) and optionally existing kernel code, then produces high-quality compilable .cu files with applied optimizations. Use when the user provides an NCU analysis report or requests CUDA…
Debugs CUDA kernel errors using compute-sanitizer (memcheck, racecheck, initcheck, synccheck), cuda-gdb (non-interactive batch backtrace), and cuobjdump (PTX/SASS/register analysis). Use when a CUDA kernel crashes (segfault, illegal memory access), produces wrong results, hangs, or when the user asks to debug or…
CUDA kernel development, debugging, performance optimization, linear algebra, and multi-GPU communication for Claude Code. Use when writing, debugging, or optimizing CUDA code, GPU kernels, parallel algorithms, or CUDA library calls. Covers cuBLAS/cuBLASLt GEMM operations, CUDA Math API (half, bfloat16, FP8, FP6…
Orchestrates a full profiling-driven CUDA kernel optimization loop (write → validate → profile → analyze → optimize) until performance converges or no further gains are possible. Capabilities include generating reference implementations, writing initial kernels via cuda-code-generator, running correctness validation…
Curated index of NVIDIA official CUDA Samples with code patterns, GitHub permalinks, and key snippets. Use when looking for working CUDA code examples, GPU kernel patterns (reduction, scan, GEMM, transpose, histogram), Tensor Core WMMA usage, CUDA Graphs API, cuBLAS/cuFFT/cuSPARSE library integration, stream/event…
Compiles, validates, and benchmarks a CUDA kernel (.cu file) against a Python reference (ref.py). Auto-detects GPU arch and infers dimension args from the extern "C" void solve(...) signature. Runs benchmark.py to: compile with nvcc, optionally validate outputs (exits on failure), benchmark both kernel and reference…
Profiles a CUDA kernel with NCU and analyzes the resulting .ncu-rep report to diagnose performance bottlenecks and generate optimization recommendations. Use when the user provides a .cu file or a .ncu-rep file and asks for performance analysis, NCU profiling, or bottleneck diagnosis. If given a .cu file, runs NCU via…
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