vectorization SKILL.md skillA

vectorization from cratis/ai is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add cratis/ai/vectorization@git:20261026.fc845e3

Pins git:20261026.fc845e3 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
cratis/ai
Path
.cratis/ai/skills/vectorization/SKILL.md
Versions recorded
3
Latest version
git:20261026.fc845e3, committed Oct 26, 2026
First version recorded
Oct 22, 2026
Size
12,049 bytes
Repository stars
4
License
MIT

Use when vectorizing a .NET scalar loop or reviewing SIMD behavior, memory safety, tails and fallbacks. Not for performance work unrelated to SIMD.

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

<!-- Modified by Cratis from dotnet's original (MIT): frontmatter, applicability, navigation and the changes listed in NOTICE. Upstream: https://github.com/dotnet/skills (plugins/dotnet-advanced/skills/vectorization/SKILL.md; see NOTICE) -->

# .NET SIMD vectorization

Cratis rules in `.cratis/ai/rules/` (including `csharp.md`, `specs.csharp.md`, and `orleans.md`) and the `cratis-*` skills win where they differ.

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 |
| --- | --- | --- |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add cratis/ai/vectorization@sha256:38141cbf8f967811

The line at the top of this page pins the label git:20261026.fc845e3, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_nb32exv2j5oc6kwa.svg)](https://markdownregistry.com/a/art_nb32exv2j5oc6kwa)

0 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Oct 22, 2026 and Oct 26, 2026, about one every 2 days.

versioncommittedcommitsizeaudit
git:20261026.fc845e3 latest2026-10-26 fc845e3 12,049 BA view · diff
git:20261023.9c566fc2026-10-23 9c566fc 12,367 BA view · diff
git:20261022.a3fbff22026-10-22 a3fbff2 12,318 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (12049 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

GitHub

cratis/ai · 4 stars · license MIT · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_nb32exv2j5oc6kwa
GET https://markdownregistry.com/api/v1/resolve?ref=cratis/ai/vectorization
GET https://markdownregistry.com/api/v1/blob/38141cbf8f967811b57bb9d6266fe405fca134f96af12754303a9f05fec368ce

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.

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Every file in cratis/ai

Other files named vectorization

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