vectorization
100 / 100 · Low risk
Fine to try.
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. DO NOT USE FOR: performance work unrelated to SIMD or vectorization.
What this skill can do
We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'vectorization' ] || [ -L ~/.agents/skills/'vectorization' ]; then echo 'A skill folder named vectorization already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/dotnet/skills' "$d" && git -C "$d" checkout --quiet '96c3d68dad2855e3ab5178aa1a262789d86a1466' -- 'plugins/dotnet-advanced/skills/vectorization' && mkdir -p ~/.agents/skills && cp -R "$d"/'plugins/dotnet-advanced/skills/vectorization' ~/.agents/skills/'vectorization' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'vectorization' ~/.claude/skills/'vectorization' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/dotnet/skills/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-08 | 96c3d68 | 100 |
| 2026-11-07 | 96c3d68 | 100 |