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Agent skill

Schedule Triton Ascend Loads

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

Reorder independent Triton-Ascend loads to expose overlap with loop-carried stores and reduce dependency stalls.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Schedule Triton Ascend Loads

skills CLI
$ npx skills add Krusty84/triton-ascend-agent-dev-kit --skill schedule-triton-ascend-loads -a claude-code

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

GitHub CLI
$ gh skill install Krusty84/triton-ascend-agent-dev-kit schedule-triton-ascend-loads --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/schedule-triton-ascend-loads .claude/skills/schedule-triton-ascend-loads && 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/

Facts

Skill name
schedule-triton-ascend-loads
GitHub stars
106
Token cost
~558 tokens
SKILL.md length
186 words
Files
1
Skills in repo
23
Repo updated
First seen
Licence
Apache-2.0

At a glance

Reorder independent Triton-Ascend loads to expose overlap with loop-carried stores and reduce dependency stalls.

  • Works in 5 steps: Draw read/write dependencies for every… → Identify a load blocked by a prior store… → Find later loads that have no dependency… → …
  • An agent profiles a loop where an early load waits on a previous iterations store
  • 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

Schedule Triton Ascend Loads is an agent skill from Krusty84/triton-ascend-agent-dev-kit. Reorder independent Triton-Ascend loads to expose overlap with loop-carried stores and reduce dependency stalls. Use when an agent profiles a loop where an early load waits on a previous iteration's store, a later load is independent, or assumes the compiler will automatically reorder source-level memory operations.

Its SKILL.md is about 560 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 profiles a loop where an early load waits on a previous iterations store
  • A later load is independent
  • Assumes the compiler will automatically reorder source-level memory operations

Example prompts

  • “/schedule-triton-ascend-loads”

Requirements

  • Python 3

Workflow steps

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

  1. Draw read/write dependencies for every load and store in one loop iteration and across adjacent iterations.
  2. Identify a load blocked by a prior store to the same or possibly aliased address.
  3. Find later loads that have no dependency on that store.
  4. Move only those independent loads before the blocked load.
  5. Preserve calculation and store semantics, then inspect the generated schedule or profiler trace.

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

Schedule Triton Ascend Loads loads about 558 tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 186 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~558

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). 186 words, ~558 tokens.

Download SKILL.mdSave it as .claude/skills/schedule-triton-ascend-loads/SKILL.md (or your agent's skills folder).
name
schedule-triton-ascend-loads
description
Reorder independent Triton-Ascend loads to expose overlap with loop-carried stores and reduce dependency stalls. Use when an agent profiles a loop where an early load waits on a previous iteration's store, a later load is independent, or assumes the compiler will automatically reorder source-level memory operations.

Schedule Triton-Ascend Loads

Goal

Issue independent memory work before a dependency-blocked load so the Ascend pipeline can overlap operations across loop iterations.

Workflow

  1. Draw read/write dependencies for every load and store in one loop iteration and across adjacent iterations.
  2. Identify a load blocked by a prior store to the same or possibly aliased address.
  3. Find later loads that have no dependency on that store.
  4. Move only those independent loads before the blocked load.
  5. Preserve calculation and store semantics, then inspect the generated schedule or profiler trace.

Implementation Pattern

python
for head in range(HEAD_NUM):
    a_ptr = A + head * HEAD_DIM + task * B_DIM + tl.arange(0, B_DIM)
    out_ptr = O + head * HEAD_DIM + task * B_DIM + tl.arange(0, B_DIM)
    index_ptr = B_index + head

    a = tl.load(a_ptr)             # Independent: issue first.
    b_index = tl.load(index_ptr)
    b_ptr = B + b_index
    b = tl.load(b_ptr)             # May wait for the prior iteration's store.

    updated_b = b + tl.sum(a)
    tl.store(out_ptr, a * updated_b)
    tl.store(b_ptr, updated_b)

Ascend Guardrails

  • Do not reorder loads across writes when pointers may alias.
  • Preserve volatile, atomic, synchronization, and externally visible ordering requirements.
  • Remember that the compiler preserves relevant source dependencies and may not hoist an independent later load automatically.
  • Recalculate liveness and UB pressure; earlier loads stay live longer.
  • Treat source reordering as a measured scheduling optimization, not a universal style rule.

Verification

Compare outputs before and after reordering, including repeated B indices that create loop-carried dependencies. Profile issue overlap and total latency, and reject the transformation if higher UB pressure offsets the gain.

© Krusty84, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/schedule-triton-ascend-loads of Krusty84/triton-ascend-agent-dev-kit.

Open the folder on GitHubat commit 4ab5ee7

Compare with similar skills

Schedule Triton Ascend Loads 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.

Schedule Triton Ascend Loads compared with similar skills
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Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs13k8 repos~3kAutomated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k8 repos~3.3kAutomated safety check: PassMIT
1passwordtrpc-group/trpc-agent-go1.9k14 repos~656Automated safety check: PassApache-2.0

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Categories

Questions about Schedule Triton Ascend Loads

What does Schedule Triton Ascend Loads do?

Reorder independent Triton-Ascend loads to expose overlap with loop-carried stores and reduce dependency stalls. Schedule Triton Ascend Loads is an agent skill from Krusty84/triton-ascend-agent-dev-kit. Reorder independent Triton-Ascend loads to expose overlap with loop-carried stores and reduce dependency stalls.

When should I use Schedule Triton Ascend Loads?

Schedule Triton Ascend Loads fits situations like: an agent profiles a loop where an early load waits on a previous iterations store; A later load is independent; assumes the compiler will automatically reorder source-level memory operations.

How do I install Schedule Triton Ascend Loads in Claude Code?

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

How do I install Schedule Triton Ascend Loads in Codex?

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

Can I use Schedule Triton Ascend Loads 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 schedule-triton-ascend-loads -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/schedule-triton-ascend-loads, .gemini/skills/schedule-triton-ascend-loads, .github/skills/schedule-triton-ascend-loads and .opencode/skills/schedule-triton-ascend-loads in your project.

What does Schedule Triton Ascend Loads need to run?

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

Does Schedule Triton Ascend Loads 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 Schedule Triton Ascend Loads 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 Schedule Triton Ascend Loads use?

Schedule Triton Ascend Loads 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 Schedule Triton Ascend Loads use?

About 558 tokens (SKILL.md is roughly 2.2k 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 Schedule Triton Ascend Loads?

Skills that share tags, products or a category with Schedule Triton Ascend Loads: 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 Schedule Triton Ascend Loads?

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.