vectorization SKILL.md skillA
vectorization from dotnet/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add dotnet/skills/vectorization@git:20261005.c6ec97bPins git:20261005.c6ec97b in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- dotnet/skills
- Path
plugins/dotnet-advanced/skills/vectorization/SKILL.md- Versions recorded
- 4
- Latest version
- git:20261005.c6ec97b, committed Oct 5, 2026
- First version recorded
- Aug 24, 2026
- Size
- 11,936 bytes
- Repository stars
- 5,788
- License
- MIT
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# .NET SIMD vectorization Produce a portable optimization that preserves the scalar contract, remains memory-safe at every length, and earns its complexity with measured results. **Read the official [SIMD and hardware-intrinsics guidance](https://learn.microsoft.com/dotnet/standard/simd) first** and follow its comprehensive implementation templates. In particular, use its self-contained per-width dispatch, dedicated small-input handling, loop, and remainder shapes rather than reducing them to a chain of width checks. This skill supplies the decision rules and validation checks to apply while changing real code. ## Inputs and prerequisites Discover these from the repository before asking the user: | Input | Required | What to establish | | --- | --- | --- | | Scalar implementation and tests | Yes | Existing contract, representative call sites, and supported overlap | | Target frameworks and platforms | Yes | Available SIMD APIs and architectures that must behave consistently | | Build and test workflow | Yes | The repository's normal commands and how to launch separate test processes | …
Read the whole file at its exact version.
How to install
mdr add dotnet/skills/vectorization@sha256:7dd6ac2b67b2a2deThe line at the top of this page pins the label git:20261005.c6ec97b, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_mlmkcsltrxylg56t)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Aug 24, 2026 and Oct 5, 2026, about one every 14 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261005.c6ec97b latest | 2026-10-05 | c6ec97b | 11,936 B | A | view · diff |
| git:20260825.d4bf2bb | 2026-08-25 | d4bf2bb | 11,922 B | A | view · diff |
| git:20260825.9f20ab0 | 2026-08-25 | 9f20ab0 | 11,159 B | A | view · diff |
| git:20260824.e23c424 | 2026-08-24 | e23c424 | 10,955 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11936 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
dotnet/skills · 5,788 stars · license MIT · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_mlmkcsltrxylg56t GET https://markdownregistry.com/api/v1/resolve?ref=dotnet/skills/vectorization GET https://markdownregistry.com/api/v1/blob/7dd6ac2b67b2a2def86045b708993fc651cf9eeaba0c2b72396f548216c97b77
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.