loop-optimization SKILL.md skillA

loop-optimization from athola/claude-night-market is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add athola/claude-night-market/loop-optimization@git:20261028.7246d08

Pins git:20261028.7246d08 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
athola/claude-night-market
Path
plugins/leyline/skills/loop-optimization/SKILL.md
Versions recorded
4
Latest version
git:20261028.7246d08, committed Oct 28, 2026
First version recorded
Jul 1, 2026
Size
7,410 bytes
Repository stars
348
License
MIT

Decides hand-vs-compiler for loop transforms (unrolling, SIMD, fusion, branchless). Use when reviewing/authoring a hot loop or tempted to hand-optimize one.

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

# Loop Optimization: Hand vs Compiler

A decision rule for the five common loop transformations. Its value
is knowing when manual application is redundant (the compiler already
does it) or harmful (it defeats the vectorizer or fools your
benchmark).

## When To Use

- Reviewing a hot loop and a hand-rolled transform appears (unrolled
  body, shift-instead-of-multiply, bespoke SIMD).
- Authoring a loop that profiling proved hot, deciding whether to
  optimize it by hand.
- Pushing back on a "this is faster" claim about a loop micro-opt.

## When NOT To Use

- The loop is not proven hot by a profiler. Optimize nothing first.
- Architecture-level performance (caching layers, sharding): use
  `Skill(pensive:architecture-review)`.
- Detecting complexity hotspots (O(n^2) shapes):
  `Skill(pensive:performance-review)`.

## The decision rule

1. Profile first. No loop transform without a hot loop proven by a
   profiler.
2. In compiled languages (C, C++, Rust), trust the compiler for
   loop-invariant code motion and strength reduction: both run
   automatically at `-O2`/`-O3`, so the manual form is redundant. Leave
   unrolling to the compiler as well. Unlike the other two it is not on
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add athola/claude-night-market/loop-optimization@sha256:3564468fbe1cacac

The line at the top of this page pins the label git:20261028.7246d08, 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_j2brybelcsg7oksf.svg)](https://markdownregistry.com/a/art_j2brybelcsg7oksf)

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

Versions

The registry has recorded 4 versions of this file, between Jul 1, 2026 and Oct 28, 2026, about one every 40 days.

versioncommittedcommitsizeaudit
git:20261028.7246d08 latest2026-10-28 7246d08 7,410 BA view · diff
git:20260803.a7e9a7e2026-08-03 a7e9a7e 7,431 BA view · diff
git:20260704.271f64f2026-07-04 271f64f 4,839 BA view · diff
git:20260701.16fbe2d2026-07-01 16fbe2d 5,010 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 (7410 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

athola/claude-night-market · 348 stars · license MIT · pushed 2026-11-05 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_j2brybelcsg7oksf
GET https://markdownregistry.com/api/v1/resolve?ref=athola/claude-night-market/loop-optimization
GET https://markdownregistry.com/api/v1/blob/3564468fbe1cacac4e2249421b7f2590a395fd28db22b3788452f00012fc911b

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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