Home / tongminglaic / ako4all · GitHub

ako4all SKILL.md skillA

ako4all from tongminglaic/ako4all is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add tongminglaic/ako4all/ako4all@git:20260814.e04516e

Pins git:20260814.e04516e in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
tongminglaic/ako4all
Path
SKILL.md
Versions recorded
3
Latest version
git:20260814.e04516e, committed Aug 14, 2026
First version recorded
May 31, 2026
Size
16,156 bytes
Repository stars
381
License
MIT

Drive an agentic loop that iteratively optimizes a GPU kernel for maximum speedup. Use this skill whenever the user wants to optimize / speed up / benchmark a GPU kernel (CUDA, Triton, TileLang, C++, Python), mentions AKO / AKO4ALL / AKO4X / agentic kernel optimization, asks to "make this kernel faster", or has a kernel they want measured against a PyTorch reference. The skill handles setup, profiling (ncu), correctness checking, iteration logging, and git commits. Bootstraps a workspace in…

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

# AKO4ALL — Agentic Kernel Optimization

Drive a profile → modify → benchmark → log → commit loop on a GPU kernel until it runs faster than the reference. The user provides at minimum a kernel; everything else (reference, inputs, bench script, hints) is optional.

## When this skill applies

- "optimize this kernel" / "speed up this CUDA / Triton / TileLang kernel"
- "run AKO / AKO4ALL on ..."
- "benchmark this kernel against PyTorch"
- "iterate on this kernel until it's faster"
- mentions of `ncu`, kernel profiling, GPU speedup target

Does NOT apply when:
- User wants to *write* a new kernel from scratch with no optimization target — just write code, no loop.
- User wants Codex / GPT to review or implement — use `codex:rescue` instead.
- User wants generic performance advice for code that isn't a GPU kernel.

## First action

Before doing anything else, establish the **workspace** — the directory the loop runs in. It is typically the user's CWD, or a subdirectory / path they name in the prompt.

### Inventory the workspace + prompt

Browse the workspace (don't run a fixed checklist — look around) and read the user's prompt to identify what the loop needs:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add tongminglaic/ako4all/ako4all@sha256:0ccd86b6475faf8a

The line at the top of this page pins the label git:20260814.e04516e, 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_7dwjlh3pcxycanme.svg)](https://markdownregistry.com/a/art_7dwjlh3pcxycanme)

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

Versions

The registry has recorded 3 versions of this file, between May 31, 2026 and Aug 14, 2026, about one every 37 days.

versioncommittedcommitsizeaudit
git:20260814.e04516e latest2026-08-14 e04516e 16,156 BA view · diff
git:20260813.a2b7e632026-08-13 a2b7e63 15,813 BA view · diff
git:20260531.767175e2026-05-31 767175e 15,640 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 (16156 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

tongminglaic/ako4all · 381 stars · license MIT · pushed 2026-09-15 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_7dwjlh3pcxycanme
GET https://markdownregistry.com/api/v1/resolve?ref=tongminglaic/ako4all/ako4all
GET https://markdownregistry.com/api/v1/blob/0ccd86b6475faf8aae5ac372e0dadf831ac3fba7fde7dc4d29a15b52a65e85ba

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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