Ascend Docker

Organization

Ascend

ascend-docker

Create Docker containers for Huawei Ascend NPU development with proper device mappings and volume mounts. Use when setting up Ascend development environments in Docker, running CANN applications in containers, or creating isolated NPU development workspaces. Supports privileged mode (default), basic mode, and full mode with profiling/logging. Auto-detects available NPU devices.

Overview

Publisher	Ascend
Repository	`agent-skills`
Skill name	`ascend-docker`
Stars	54
Forks	4
Bundled files	1
License	MulanPSL-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.
1 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 Ascend Docker 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/Ascend/agent-skills/tree/master/skills/ascend-docker
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.

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/ascend-docker .claude/skills/ascend-docker

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

Use it in TypingMind

Enable Ascend Docker 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 Ascend Docker 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 Ascend Docker 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.

Ascend Docker Container

Create Docker containers configured for Huawei Ascend NPU development.

Quick Start

bash
# Privileged mode (default, auto-detect all devices)
./scripts/run-ascend-container.sh <image> <container_name>

# Basic mode with specific devices
./scripts/run-ascend-container.sh <image> <container_name> --mode basic

# Full mode with selected devices
./scripts/run-ascend-container.sh <image> <container_name> --mode full --device-list "0,1,2,3"

Device Selection

The script auto-detects available NPU devices from /dev/davinci*. Use --device-list to select specific devices:

bash
# Use all detected devices (default)
./scripts/run-ascend-container.sh <image> <container_name>

# Use specific devices
./scripts/run-ascend-container.sh <image> <container_name> --device-list "0,1,2,3"

# Use device range
./scripts/run-ascend-container.sh <image> <container_name> --device-list "0-3"

# Combine ranges and individual devices
./scripts/run-ascend-container.sh <image> <container_name> --device-list "0-3,7,10-11"

Check available devices:

bash
ls /dev/davinci* | grep -oE 'davinci[0-9]+$'

Container Modes

1. Privileged Mode (Default)

Maximum permissions, suitable when no specific requirements.

bash
docker run -itd --privileged --name=<CONTAINER_NAME> --ipc=host --net=host \
  --device=/dev/davinci_manager \
  --device=/dev/devmm_svm \
  --device=/dev/hisi_hdc \
  -v /usr/local/sbin:/usr/local/sbin:ro \
  -v /usr/local/Ascend/driver:/usr/local/Ascend/driver:ro \
  -v /home:/home \
  -w /home \
  <IMAGE> \
  /bin/bash

2. Basic Mode

Specific device mapping with network host, for inference workloads.

bash
docker run -itd --net=host \
  --name=<CONTAINER_NAME> \
  --device=/dev/davinci_manager \
  --device=/dev/hisi_hdc \
  --device=/dev/devmm_svm \
  --device=/dev/davinci0 \
  --device=/dev/davinci1 \
  ... \
  -v /usr/local/Ascend/driver:/usr/local/Ascend/driver:ro \
  -v /usr/local/sbin:/usr/local/sbin:ro \
  -v /etc/localtime:/etc/localtime \
  -v /home:/home \
  <IMAGE> \
  /bin/bash

3. Full Mode

With profiling, logging, dump, and add-ons support.

bash
docker run -itd --ipc=host \
  --name=<CONTAINER_NAME> \
  --device=/dev/davinci_manager \
  --device=/dev/devmm_svm \
  --device=/dev/hisi_hdc \
  --device=/dev/davinci0 \
  --device=/dev/davinci1 \
  ... \
  -v /usr/local/Ascend/driver:/usr/local/Ascend/driver \
  -v /usr/local/Ascend/add-ons/:/usr/local/Ascend/add-ons/ \
  -v /usr/local/sbin/npu-smi:/usr/local/sbin/npu-smi \
  -v /usr/local/sbin/:/usr/local/sbin/ \
  -v /var/log/npu/conf/slog/slog.conf:/var/log/npu/conf/slog/slog.conf \
  -v /var/log/npu/slog/:/var/log/npu/slog \
  -v /var/log/npu/profiling/:/var/log/npu/profiling \
  -v /var/log/npu/dump/:/var/log/npu/dump \
  -v /var/log/npu/:/usr/slog \
  -v /etc/localtime:/etc/localtime \
  -v /home:/home \
  <IMAGE> \
  /bin/bash

Mode Comparison

Feature	Privileged	Basic	Full
Network mode	host	host	-
IPC mode	host	-	host
Device access	All (via privileged)	Selected devices	Selected devices
Profiling support	✓	✗	✓
Dump support	✓	✗	✓
Logging (slog)	✓	✗	✓
Security	Lowest	Higher	Higher

Device Parameters

Device	Purpose
`/dev/davinci_manager`	NPU device manager
`/dev/devmm_svm`	Device memory management
`/dev/hisi_hdc`	HDC communication device
`/dev/davinci<N>`	Individual NPU devices (0, 1, 2, ...)

Volume Parameters

Volume	Purpose
`/usr/local/Ascend/driver`	Ascend driver libraries
`/usr/local/sbin`	NPU management tools (npu-smi)
`/usr/local/Ascend/add-ons`	Additional Ascend components
`/var/log/npu/slog`	System logs
`/var/log/npu/profiling`	Profiling data
`/var/log/npu/dump`	Dump data
`/etc/localtime`	Timezone sync
`/home`	User workspace

Common Images

bash
ascendhub.huawei.com/public-ascendhub/ascend-pytorch:24.0.RC1
ascendhub.huawei.com/public-ascendhub/ascend-mindspore:24.0.RC1
ascendhub.huawei.com/public-ascendhub/ascend-toolkit:24.0.RC1

Container Management

bash
docker exec -it <container_name> bash
docker stop <container_name>
docker start <container_name>
docker rm -f <container_name>

Post-Setup

For self-built images, configure environment variables:

bash
echo 'source /usr/local/Ascend/ascend-toolkit/set_env.sh' >> ~/.bashrc
source ~/.bashrc

Official References

Ascend Docker Guide

Bundled files

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

scripts/run-ascend-container.sh4 KB

Frequently asked questions

What does the Ascend Docker AI skill do?

Why use Ascend Docker on TypingMind?

Because you install it once and use it with any model. Ascend Docker 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 Ascend Docker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Ascend/agent-skills/tree/master/skills/ascend-docker. 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 Ascend Docker?

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 Ascend Docker?

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

Is the Ascend Docker 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Ascend Docker Container

Quick Start

Device Selection

Container Modes

1. Privileged Mode (Default)

2. Basic Mode

3. Full Mode

Mode Comparison

Device Parameters

Volume Parameters

Common Images

Container Management

Post-Setup

Official References

Bundled files

Frequently asked questions

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