vectorization

vectorization is a Game development skill for AI agents, published by dotnet in the runtime repository on GitHub. Skillspace rates vectorization D (59/100) and it passed the safety scan; the rating is based on static analysis only.

Guidance for writing and reviewing SIMD / hardware-intrinsics code in dotnet/runtime. USE FOR: vectorizing a scalar algorithm, writing or reviewing code that uses Vector128/Vector256/Vector512, Vector<T>, or the platform intrinsics in System.Runtime.Intrinsics.X86/Arm/Wasm, and validating remainder handling, load/store safety, and hardware-acceleration fallbacks. DO NOT USE FOR: general performance work unrelated to SIMD (use performance-benchmark), or non-vectorized code review (use code-review).

Grade
D
Quality
59 / 100
Safety
Passed
GitHub stars
18,267

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubdotnet/runtime

Our review

Architecture
84 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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