Huawei Modelarts

Organization

huaweicloud

huawei-modelarts

Use when training, deploying, or managing AI/ML models on Huawei Cloud ModelArts. Covers training jobs, model registry, online services, notebook instances. Triggers: ModelArts, model training, AI, machine learning, deep learning, notebook, inference, deployment. NOT for: general AI/ML concepts, non-Huawei platforms.

Overview

Publisher	huaweicloud
Repository	`huaweicloud-devkit`
Skill name	`huawei-modelarts`
Stars	70
Forks	12
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by huaweicloud on GitHub. Read the source before you install it.

Installation

Install the Huawei Modelarts AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/huaweicloud/huaweicloud-devkit/tree/main/plugins/huaweicloud-core/skills/huawei-modelarts
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/huaweicloud/huaweicloud-devkit/tree/main/plugins/huaweicloud-core/skills/huawei-modelarts

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/huaweicloud/huaweicloud-devkit.git /tmp/huaweicloud-devkit
mkdir -p .claude/skills
cp -r /tmp/huaweicloud-devkit/plugins/huaweicloud-core/skills/huawei-modelarts .claude/skills/huawei-modelarts

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Huawei Modelarts 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 Huawei Modelarts 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 Huawei Modelarts 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.

Huawei Cloud ModelArts

STOP - Do not answer from general knowledge. Follow the procedure below.

Always run hcloud ModelArts <Operation> --help before constructing commands to discover exact parameter names and requirements.

Overview

Domain expertise for ModelArts. Covers training jobs, model deployment, notebook instances, and OBS integration.

Critical Warnings

Trap	Why
OBS bucket required	All training data, model outputs, and notebook storage use OBS. Create bucket first
Training charges by duration	Pay-per-minute GPU/CPU billing. Stop unused notebooks and services
Notebook auto-stop needed	Default no auto-stop — can run indefinitely and incur charges
Model deployment needs quota	Online services may require service quota approval in new accounts
Training job output must be OBS	Local output not supported. Ensure `--output_path` is a valid OBS path

Prerequisites

Training data must be stored in an OBS bucket (see huawei-obs)
Output path for trained models must be an OBS path
Notebook instances need a VPC/subnet (see huawei-vpc)

Common Workflows

Task	Operation
List models	`ListModels --cli-region=<r> --project_id=<p>`
List training jobs	`ListTrainJobs --cli-region=<r> --project_id=<p>`
List services	`ListServices --cli-region=<r> --project_id=<p>`
List notebooks	`ListNotebooks --cli-region=<r> --project_id=<p>`
Create model	`CreateModel --cli-region=<r> --project_id=<p>`
Create notebook	`CreateNotebook --cli-region=<r> --project_id=<p>`

Discover operation parameters with --help before executing any write operation.

Service Types

Type	Purpose
Training Job	Train models on GPU/CPU resources
Model	Register trained models for deployment
Service (Online)	Deploy models as REST API endpoints
Notebook	JupyterLab environments for development

Troubleshooting

Error	Fix
OBS path not found	Verify OBS bucket exists and path is correct
Training job fails	Check training data format, resource quotas, and logs in console

Cross-Skill References

OBS storage: See huawei-obs for bucket and training data management
VPC/Subnet: See huawei-vpc for notebook network configuration

External Skills

For advanced workflows (notebook lifecycle, training job diagnosis, hyperparameter tuning), search the marketplace: huaweicloud_search_marketplace query="ModelArts notebook/training/diagnosis" → install via the marketplace tool's installCommand (HTTP ZIP download, no git required) and its installHint on failure. → load and execute.

Frequently asked questions

What does the Huawei Modelarts AI skill do?

Why use Huawei Modelarts on TypingMind?

Because you install it once and use it with any model. Huawei Modelarts 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 Huawei Modelarts in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/huaweicloud/huaweicloud-devkit/tree/main/plugins/huaweicloud-core/skills/huawei-modelarts. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Huawei Modelarts?

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 Huawei Modelarts?

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

Is the Huawei Modelarts AI skill free?

Yes. It is published on GitHub by huaweicloud under the Apache-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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Deslop

openclaw

OrganizationPopular

Diff-scoped AI-slop cleanup pass: strip comment slop, defensive-check slop, type-laundering, and style drift from the current branch diff before autoreview.

Discord Clawd

Use to talk to the Discord-backed OpenClaw agent/session; not for archive search.

Discord User Post

Post an approved message as the logged-in Discord user through the Discord desktop app. Use for release announcements or other direct user-authored Discord posts; not for OpenClaw channel sends, bots,…

Discrawl

Discord archive: search, sync freshness, DMs, summaries, TUI, repo/release work.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Huawei Cloud ModelArts

Overview

Critical Warnings

Prerequisites

Common Workflows

Service Types

Troubleshooting

Cross-Skill References

External Skills

Frequently asked questions

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