Design, implement, optimize, and review SIMD code in .NET. USE FOR: vectorizing scalar loops with TensorPrimitives, Vector64/128/256/512, or platform hardware intrinsics; reviewing existing SIMD code, including the generic Vector type, for contract equivalence, tail handling, memory safety, portability, fallbacks, and measured performance.
Install
npx skills add dotnet/skills --skill vectorizationnpx skills add dotnet/skills --skill vectorization -a claude-code -gnpx skills add dotnet/skills --skill vectorization -a codex -ggemini skills install https://github.com/dotnet/skills.git --path plugins/dotnet-advanced/skills/vectorizationgh skill install dotnet/skills vectorizationgit clone --depth 1 https://github.com/dotnet/skills /tmp/dotnet__skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/dotnet__skills/plugins/dotnet-advanced/skills/vectorization ~/.claude/skills/vectorization # Claude Code
cp -R /tmp/dotnet__skills/plugins/dotnet-advanced/skills/vectorization ~/.agents/skills/vectorization # Codex, Cursor, Gemini CLI, Copilot, OpenCode