Agent skill

Max Autotune Triton Ascend

by Krusty84 in Krusty84/triton-ascend-agent-dev-kit

Apply Triton-Ascend maxautotune to search base kernel configurations together with Ascend compiler options for vector, cube, or mixed operators.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Max Autotune Triton Ascend

skills CLI

$ npx skills add Krusty84/triton-ascend-agent-dev-kit --skill max-autotune-triton-ascend -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install Krusty84/triton-ascend-agent-dev-kit max-autotune-triton-ascend --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/Krusty84/triton-ascend-agent-dev-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/max-autotune-triton-ascend .claude/skills/max-autotune-triton-ascend && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "max-autotune-triton-ascend" agent skill from https://github.com/Krusty84/triton-ascend-agent-dev-kit/tree/main/skills/max-autotune-triton-ascend into .claude/skills/max-autotune-triton-ascend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "max-autotune-triton-ascend", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/Krusty84/triton-ascend-agent-dev-kit/tree/main/skills/max-autotune-triton-ascend

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add Krusty84/triton-ascend-agent-dev-kit --skill max-autotune-triton-ascend -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Krusty84/triton-ascend-agent-dev-kit max-autotune-triton-ascend --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Krusty84/triton-ascend-agent-dev-kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/max-autotune-triton-ascend .agents/skills/max-autotune-triton-ascend && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "max-autotune-triton-ascend" agent skill from https://github.com/Krusty84/triton-ascend-agent-dev-kit/tree/main/skills/max-autotune-triton-ascend into .agents/skills/max-autotune-triton-ascend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "max-autotune-triton-ascend", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Krusty84/triton-ascend-agent-dev-kit --skill max-autotune-triton-ascend -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Krusty84/triton-ascend-agent-dev-kit max-autotune-triton-ascend --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Krusty84/triton-ascend-agent-dev-kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/max-autotune-triton-ascend .cursor/skills/max-autotune-triton-ascend && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "max-autotune-triton-ascend" agent skill from https://github.com/Krusty84/triton-ascend-agent-dev-kit/tree/main/skills/max-autotune-triton-ascend into .cursor/skills/max-autotune-triton-ascend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "max-autotune-triton-ascend", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/Krusty84/triton-ascend-agent-dev-kit.git --path skills/max-autotune-triton-ascend

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Krusty84/triton-ascend-agent-dev-kit --skill max-autotune-triton-ascend -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Krusty84/triton-ascend-agent-dev-kit max-autotune-triton-ascend --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Krusty84/triton-ascend-agent-dev-kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/max-autotune-triton-ascend .gemini/skills/max-autotune-triton-ascend && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "max-autotune-triton-ascend" agent skill from https://github.com/Krusty84/triton-ascend-agent-dev-kit/tree/main/skills/max-autotune-triton-ascend into .gemini/skills/max-autotune-triton-ascend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "max-autotune-triton-ascend", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install Krusty84/triton-ascend-agent-dev-kit max-autotune-triton-ascend

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add Krusty84/triton-ascend-agent-dev-kit --skill max-autotune-triton-ascend -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Krusty84/triton-ascend-agent-dev-kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/max-autotune-triton-ascend .github/skills/max-autotune-triton-ascend && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "max-autotune-triton-ascend" agent skill from https://github.com/Krusty84/triton-ascend-agent-dev-kit/tree/main/skills/max-autotune-triton-ascend into .github/skills/max-autotune-triton-ascend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "max-autotune-triton-ascend", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Krusty84/triton-ascend-agent-dev-kit --skill max-autotune-triton-ascend -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Krusty84/triton-ascend-agent-dev-kit max-autotune-triton-ascend --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Krusty84/triton-ascend-agent-dev-kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/max-autotune-triton-ascend .opencode/skills/max-autotune-triton-ascend && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "max-autotune-triton-ascend" agent skill from https://github.com/Krusty84/triton-ascend-agent-dev-kit/tree/main/skills/max-autotune-triton-ascend into .opencode/skills/max-autotune-triton-ascend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "max-autotune-triton-ascend", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: max-autotune-triton-ascend
GitHub stars: 106
Token cost: ~595 tokens
SKILL.md length: 201 words
Files: 1
Skills in repo: 23
Repo updated: Aug 15, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Apply Triton-Ascend maxautotune to search base kernel configurations together with Ascend compiler options for vector, cube, or mixed operators.

Works in 6 steps: Verify the kernel and PyTorch reference… → Import max_autotune from… → Provide a small base configs list… → …
An agent needs multi-parameter performance tuning without manually enumerating every triton.Config combination
SKILL.md covers Goal, Workflow, Implementation Pattern and Ascend Guardrails, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Max Autotune Triton Ascend is an agent skill from Krusty84/triton-ascend-agent-dev-kit. Apply Triton-Ascend maxautotune to search base kernel configurations together with Ascend compiler options for vector, cube, or mixed operators. Use when an agent needs multi-parameter performance tuning without manually enumerating every triton.Config combination, must choose kerneltype, or must constrain compiler-option search lists such as numstages and enableubufsaving.

Its SKILL.md is about 600 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering. The repository describes itself as: A toolkit for AI agents used for development on Triton-Ascend for Ascend NPU. The licence is Apache-2.0.

When your agent uses it

An agent needs multi-parameter performance tuning without manually enumerating every triton.Config combination
Must choose kerneltype
Must constrain compiler-option search lists such as numstages and enableubufsaving

Example prompts

“/max-autotune-triton-ascend”

Requirements

Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

Verify the kernel and PyTorch reference before tuning.
Import max_autotune from triton.backends.ascend.runtime.
Provide a small base configs list containing only meaningful kernel meta-parameters.
Set key to runtime values whose changes may require a new winner.
Classify the kernel as vector, cube, or mix.
Add short explicit option lists only when the built-in search space is unsuitable.

What it can do on your machine

Read from SKILL.md and the folder at commit 4ab5ee7. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Max Autotune Triton Ascend loads about 595 tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 201 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~102
When it runs · the whole SKILL.md, loaded when a task matches: ~595

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Krusty84/triton-ascend-agent-dev-kit at commit 4ab5ee7, republished under its Apache-2.0 licence (© Krusty84). 201 words, ~595 tokens.

Download SKILL.mdSave it as .claude/skills/max-autotune-triton-ascend/SKILL.md (or your agent's skills folder).

name: max-autotune-triton-ascend
description: Apply Triton-Ascend max_autotune to search base kernel configurations together with Ascend compiler options for vector, cube, or mixed operators. Use when an agent needs multi-parameter performance tuning without manually enumerating every triton.Config combination, must choose kernel_type, or must constrain compiler-option search lists such as num_stages and enable_ubuf_saving.

Max-Autotune Triton-Ascend

Goal

Expand a small set of kernel meta-parameter configurations into a controlled search over Ascend compiler options.

Workflow

Verify the kernel and PyTorch reference before tuning.
Import max_autotune from triton.backends.ascend.runtime.
Provide a small base configs list containing only meaningful kernel meta-parameters.
Set key to runtime values whose changes may require a new winner.
Classify the kernel as vector, cube, or mix.
Add short explicit option lists only when the built-in search space is unsuitable.

Implementation Pattern

python

from triton.backends.ascend.runtime import max_autotune

base_configs = [
    triton.Config({"BLOCK_SIZE": 128}),
    triton.Config({"BLOCK_SIZE": 256}),
]

@max_autotune(
    configs=base_configs,
    key=["numel"],
    kernel_type="vector",
    num_stages=[1, 2],
    enable_ubuf_saving=[True, False],
)
@triton.jit
def kernel(out, x, y, numel, BLOCK_SIZE: tl.constexpr):
    offsets = tl.program_id(0) * BLOCK_SIZE + tl.arange(0, BLOCK_SIZE)
    mask = offsets < numel
    ...

Derive the grid from meta["BLOCK_SIZE"] and do not pass BLOCK_SIZE explicitly at launch.

Ascend Guardrails

Choose kernel_type from the actual execution mix: vector for vector instructions, cube for matrix engines, and mix for combined work.
Keep base configs and option lists small; max_autotune forms a combined search space and tuning cost grows quickly.
Use only compiler option names supported by the installed Triton-Ascend version.
Put shape variables in key, not tensor values or unrelated arguments.
Do not mix up max_autotune with standard triton.autotune: the former expands Ascend-specific compiler choices automatically.

Verification

Compare the tuned output with the PyTorch reference for every key shape. Record the chosen configuration and benchmark it against the untuned baseline on representative inputs.

Files

Just SKILL.md in skills/max-autotune-triton-ascend of Krusty84/triton-ascend-agent-dev-kit.

Open the folder on GitHubat commit 4ab5ee7

Compare with similar skills

Max Autotune Triton Ascend next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Max Autotune Triton Ascend compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Max Autotune Triton Ascend this skillKrusty84/triton-ascend-agent-dev-kit	106	—	~595	Automated safety check: Pass	Apache-2.0	1 mo ago
Agent BuildershareAI-lab/learn-claude-code	78k	4 repos	~1.2k	Automated safety check: Pass	MIT	12 days ago
Add Uint Supportpytorch/pytorch	104k	2 repos	~2.3k	Automated safety check: Pass	Custom licence	today
LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs	13k	8 repos	~3k	Automated safety check: Pass	MIT	3 mo ago
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs	13k	8 repos	~3.3k	Automated safety check: Pass	MIT	3 mo ago
1passwordtrpc-group/trpc-agent-go	1.9k	14 repos	~656	Automated safety check: Pass	Apache-2.0	yesterday

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Questions about Max Autotune Triton Ascend

What does Max Autotune Triton Ascend do?

Apply Triton-Ascend maxautotune to search base kernel configurations together with Ascend compiler options for vector, cube, or mixed operators. Max Autotune Triton Ascend is an agent skill from Krusty84/triton-ascend-agent-dev-kit. Apply Triton-Ascend maxautotune to search base kernel configurations together with Ascend compiler options for vector, cube, or mixed operators.

When should I use Max Autotune Triton Ascend?

Max Autotune Triton Ascend fits situations like: an agent needs multi-parameter performance tuning without manually enumerating every triton.Config combination; must choose kerneltype; must constrain compiler-option search lists such as numstages and enableubufsaving.

How do I install Max Autotune Triton Ascend in Claude Code?

Run `npx skills add Krusty84/triton-ascend-agent-dev-kit --skill max-autotune-triton-ascend -a claude-code`. Or copy the skill folder (skills/max-autotune-triton-ascend in Krusty84/triton-ascend-agent-dev-kit) into .claude/skills/max-autotune-triton-ascend in your project. Claude Code loads it when a task matches its description.

How do I install Max Autotune Triton Ascend in Codex?

Run `npx skills add Krusty84/triton-ascend-agent-dev-kit --skill max-autotune-triton-ascend -a codex`. Or copy the skill folder (skills/max-autotune-triton-ascend in Krusty84/triton-ascend-agent-dev-kit) into .agents/skills/max-autotune-triton-ascend in your project. Codex loads it when a task matches its description.

Can I use Max Autotune Triton Ascend in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Krusty84/triton-ascend-agent-dev-kit --skill max-autotune-triton-ascend -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/max-autotune-triton-ascend, .gemini/skills/max-autotune-triton-ascend, .github/skills/max-autotune-triton-ascend and .opencode/skills/max-autotune-triton-ascend in your project.

What does Max Autotune Triton Ascend need to run?

SKILL.md names no scripts, command-line tools or credentials: Max Autotune Triton Ascend is instructions for the agent only. Our summary lists: Python 3.

Does Max Autotune Triton Ascend access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Max Autotune Triton Ascend safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Max Autotune Triton Ascend use?

Max Autotune Triton Ascend is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Max Autotune Triton Ascend use?

About 595 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Max Autotune Triton Ascend?

Skills that share tags, products or a category with Max Autotune Triton Ascend: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Max Autotune Triton Ascend?

Krusty84 (a GitHub user) maintains it in Krusty84/triton-ascend-agent-dev-kit, which has 106 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on August 15, 2026.

Source: Krusty84/triton-ascend-agent-dev-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Max Autotune Triton Ascend

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Max-Autotune Triton-Ascend

Goal

Workflow

Implementation Pattern

Ascend Guardrails

Verification

Files

Compare with similar skills

Similar skills

More from Krusty84/triton-ascend-agent-dev-kit

Related

Questions about Max Autotune Triton Ascend