Triton Operator Doc Gen logo

Triton Operator Doc Gen

Organization
Ascend
triton-operator-doc-gen

为昇腾 NPU Triton 算子生成标准化接口文档。当用户需要为算子创建 README、生成 API 文档、编写产品支持表、整理参数说明时使用。关键词:文档生成、doc generation、README、接口文档、API documentation。

Overview

PublisherAscend
Repositoryagent-skills
Skill nametriton-operator-doc-gen
Stars
54
Forks
4
Bundled files
2
LicenseMulanPSL-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Ascend on GitHub. Read the source before you install it.

Installation

Install the Triton Operator Doc Gen AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Ascend/agent-skills/tree/master/skills/triton-operator-doc-gen
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Ascend/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/triton-operator-doc-gen .claude/skills/triton-operator-doc-gen
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Triton Operator Doc Gen in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Triton Operator Doc Gen on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Triton Operator Doc Gen is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Triton 算子接口文档生成

工作流

  1. 收集算子信息:名称、功能、公式、接口、参数、约束
  2. MANDATORY:完整阅读 triton_operator_template.md 获取输出格式
  3. 参考示例:完整阅读 layer-norm.md 理解完整文档结构
  4. 需要确认 API 签名时,完整阅读 triton-api-reference.md
  5. 按模板生成文档,确保包含:
    • 产品支持情况表(Ascend 全系列产品)
    • 功能说明 + LaTeX 公式
    • 函数原型
    • 参数说明表
    • 约束条件(各平台数据类型支持)
    • 调用示例

常见陷阱

陷阱症状解决
产品支持表不全文档缺平台行覆盖所有 Ascend 产品线(A3/A2/950/Kirin)
约束表缺少 dtype 组合用户按文档用不支持的类型从 code 的 BLOCK_SIZE/dtype 限制反推,列出所有合法组合
公式与实现不一致文档说的和代码算的不一样从 kernel 代码逐行验证公式
调用示例不可运行用户复制粘贴报错示例必须完整可执行,包含 import 和数据构造

反模式清单(NEVER)

  • ❌ 生成空模板占位符(如 {公式}、{参数描述} 未填写)——所有占位符必须替换为实际内容
  • ❌ 调用示例缺少 import 语句或数据构造
  • ❌ 约束表缺少 dtype × 平台组合
  • ❌ 函数原型与实际 kernel 签名不一致
  • ❌ 公式使用纯文本而非 LaTeX 语法
  • ❌ 产品支持表包含不支持的型号标记为 √

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Triton Operator Doc Gen AI skill do?

为昇腾 NPU Triton 算子生成标准化接口文档。当用户需要为算子创建 README、生成 API 文档、编写产品支持表、整理参数说明时使用。关键词:文档生成、doc generation、README、接口文档、API documentation。

Why use Triton Operator Doc Gen on TypingMind?

Because you install it once and use it with any model. Triton Operator Doc Gen is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Triton Operator Doc Gen in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Ascend/agent-skills/tree/master/skills/triton-operator-doc-gen. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Triton Operator Doc Gen?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Triton Operator Doc Gen?

As many as you like. As long as a model supports skills, you can use Triton Operator Doc Gen with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Triton Operator Doc Gen AI skill free?

Yes. It is published on GitHub by Ascend under the MulanPSL-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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