Agent skill

External Gitcode Ascend Vllm Ascend Deploy

by ascend-ai-coding in ascend-ai-coding/awesome-ascend-skills

昇腾 NPU 平台 vLLM 大模型推理服务一键部署。触发:用户说'部署 模型名'、'NPU 部署模型'、'vllm serve'。流程:SSH检查 → NPU检查 → 配置发现(必须验证) → 用户确认 → 部署 → cron监控 → 验证。约束:(1) 配置必须从官方文档验证,禁止猜测;(2) 后台启动必须用cron监控,禁止手动轮询。支持…

No licenceAuto-check passedAI & LLM Engineering

Install External Gitcode Ascend Vllm Ascend Deploy

skills CLI
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill external-gitcode-ascend-vllm-ascend-deploy -a claude-code

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

GitHub CLI
$ gh skill install ascend-ai-coding/awesome-ascend-skills external-gitcode-ascend-vllm-ascend-deploy --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/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/external/gitcode-ascend/vllm-ascend-deploy .claude/skills/external-gitcode-ascend-vllm-ascend-deploy && 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
external-gitcode-ascend-vllm-ascend-deploy
GitHub stars
174
Token cost
~1.2k tokens
SKILL.md length
255 words
Files
8 (incl. scripts, references)
Skills in repo
69
Repo updated
First seen
Licence
None found

At a glance

昇腾 NPU 平台 vLLM 大模型推理服务一键部署。触发:用户说'部署 模型名'、'NPU 部署模型'、'vllm serve'。流程:SSH检查 → NPU检查 → 配置发现(必须验证) → 用户确认 → 部署 → cron监控 → 验证。约束:(1) 配置必须从官方文档验证,禁止猜测;(2) 后台启动必须用cron监控,禁止手动轮询。支持…

  • Works in 10 steps: SSH 连接检查(远程部署时) → 询问用户配置(优先)⚠️ → NPU 资源检查 → …
  • Tasks that involve LLM inference and serving
  • SKILL.md covers 部署前准备, 执行部署, 部署后调用 and 故障排查, plus 1 more section
  • Runs Shell and Python scripts from its folder; calls curl, ssh and docker

What it does

External Gitcode Ascend Vllm Ascend Deploy is an agent skill from ascend-ai-coding/awesome-ascend-skills. 昇腾 NPU 平台 vLLM 大模型推理服务一键部署。触发:用户说'部署 模型名'、'NPU 部署模型'、'vllm serve'。流程:SSH检查 → NPU检查 → 配置发现(必须验证) → 用户确认 → 部署 → cron监控 → 验证。约束:(1) 配置必须从官方文档验证,禁止猜测;(2) 后台启动必须用cron监控,禁止手动轮询。支持 Qwen/Qwen3.5、GLM、DeepSeek、Kimi。

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/deployment-procedure.md`, `references/model-discovery.md` and `references/troubleshooting.md`).

It sits in AI & LLM Engineering, covering LLM inference and serving and Scheduled and recurring tasks. It works with vLLM, Qwen, DeepSeek and Kimi. The repository describes itself as: A comprehensive knowledge base for Huawei Ascend NPU development, structured as distributed Agent Skills. https://ascend-ai-coding.github.io/awesome-ascend-skills/.

When your agent uses it

  • Tasks that involve LLM inference and serving
  • Tasks that involve Scheduled and recurring tasks

Example prompts

  • “部署 模型名”
  • “NPU 部署模型”
  • “vllm serve”
  • “/external-gitcode-ascend-vllm-ascend-deploy”

Requirements

  • Python 3
  • A Bash shell
  • Docker

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. SSH 连接检查(远程部署时)
  2. 询问用户配置(优先)⚠️
  3. NPU 资源检查
  4. 配置发现 ⚠️ 必须执行
  5. 用户确认 ⚠️ 阻断点
  6. 加载镜像(如需要)
  7. 创建容器
  8. 启动服务
  9. 监控启动 ⚠️ 必须执行
  10. 验证部署

What it can do on your machine

Read from SKILL.md and the folder at commit 62a4ecb. 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

    Ships 4 files in scripts/ (Shell and Python), which the agent can run.

    Shell commands in SKILL.md call:

    • curl
    • ssh
    • docker
    • bash
    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • gitcode.com
    • docs.vllm.ai
    • modelers.cn

    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

External Gitcode Ascend Vllm Ascend Deploy loads about 1.2k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 255 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5k

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 255 words (~1,203 tokens).

name
external-gitcode-ascend-vllm-ascend-deploy
original-name
vllm-ascend-deploy
synced-from
https://gitcode.com/Ascend/agent-skills
synced-date
2026-05-26
synced-commit
1f7666e7768a0ceb21bb1d40ce4b5179fcb6f1d6
license
UNKNOWN

Read the full SKILL.md on GitHub

Files

SKILL.md and 7 other files (scripts, references) in external/gitcode-ascend/vllm-ascend-deploy of ascend-ai-coding/awesome-ascend-skills.

  • SKILL.md
  • references/deployment-procedure.md
  • references/model-discovery.md
  • references/troubleshooting.md
  • scripts/api_test.py
  • scripts/create_container.sh
  • scripts/monitor.sh
  • scripts/start_service.sh

Open the folder on GitHubat commit 62a4ecb

Compare with similar skills

External Gitcode Ascend Vllm Ascend Deploy 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.

External Gitcode Ascend Vllm Ascend Deploy compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
External Gitcode Ascend Vllm Ascend Deploy this skillascend-ai-coding/awesome-ascend-skills174—~1.2kAutomated safety check: PassNone
LLM Pipeline Profiler AnalysisBBuf/AI-Infra-Auto-Driven-SKILLS900—~3.9kAutomated safety check: PassNone
Add Modelguoqingbao/xinfer333—~4.2kAutomated safety check: NotesMIT
Serving LLMs On Instinctamd/skills395—~4kAutomated safety check: NotesMIT
Update Ollama Cloud Modelsheypinchy/pinchy182—~3.9kAutomated safety check: NotesAGPL-3.0
Dpskv3 Logistic Reviewmirage-project/mirage2.5k—~4.6kAutomated safety check: PassApache-2.0

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Questions about External Gitcode Ascend Vllm Ascend Deploy

What does External Gitcode Ascend Vllm Ascend Deploy do?

昇腾 NPU 平台 vLLM 大模型推理服务一键部署。触发:用户说'部署 模型名'、'NPU 部署模型'、'vllm serve'。流程:SSH检查 → NPU检查 → 配置发现(必须验证) → 用户确认 → 部署 → cron监控 → 验证。约束:(1) 配置必须从官方文档验证,禁止猜测;(2) 后台启动必须用cron监控,禁止手动轮询。支持…. External Gitcode Ascend Vllm Ascend Deploy is an agent skill from ascend-ai-coding/awesome-ascend-skills.

When should I use External Gitcode Ascend Vllm Ascend Deploy?

External Gitcode Ascend Vllm Ascend Deploy fits situations like: tasks that involve LLM inference and serving; tasks that involve Scheduled and recurring tasks.

How do I install External Gitcode Ascend Vllm Ascend Deploy in Claude Code?

Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill external-gitcode-ascend-vllm-ascend-deploy -a claude-code`. Or copy the skill folder (external/gitcode-ascend/vllm-ascend-deploy in ascend-ai-coding/awesome-ascend-skills) into .claude/skills/external-gitcode-ascend-vllm-ascend-deploy in your project. Claude Code loads it when a task matches its description.

How do I install External Gitcode Ascend Vllm Ascend Deploy in Codex?

Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill external-gitcode-ascend-vllm-ascend-deploy -a codex`. Or copy the skill folder (external/gitcode-ascend/vllm-ascend-deploy in ascend-ai-coding/awesome-ascend-skills) into .agents/skills/external-gitcode-ascend-vllm-ascend-deploy in your project. Codex loads it when a task matches its description.

Can I use External Gitcode Ascend Vllm Ascend Deploy 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 ascend-ai-coding/awesome-ascend-skills --skill external-gitcode-ascend-vllm-ascend-deploy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/external-gitcode-ascend-vllm-ascend-deploy, .gemini/skills/external-gitcode-ascend-vllm-ascend-deploy, .github/skills/external-gitcode-ascend-vllm-ascend-deploy and .opencode/skills/external-gitcode-ascend-vllm-ascend-deploy in your project.

What does External Gitcode Ascend Vllm Ascend Deploy need to run?

Going by SKILL.md and its folder, External Gitcode Ascend Vllm Ascend Deploy needs a shell and Python for the scripts in its folder and the command-line tools its instructions call (curl, ssh, docker, bash and python). Our summary lists: Python 3; A Bash shell; Docker.

Does External Gitcode Ascend Vllm Ascend Deploy access the network?

SKILL.md names 3 domains. As links in the text: gitcode.com, docs.vllm.ai and modelers.cn. This is read from the text; nothing was executed.

Is External Gitcode Ascend Vllm Ascend Deploy 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does External Gitcode Ascend Vllm Ascend Deploy use?

No licence was found for External Gitcode Ascend Vllm Ascend Deploy or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does External Gitcode Ascend Vllm Ascend Deploy use?

About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.7k tokens, read only when the agent opens those files.

What are the alternatives to External Gitcode Ascend Vllm Ascend Deploy?

Skills that share tags, products or a category with External Gitcode Ascend Vllm Ascend Deploy: LLM Pipeline Profiler Analysis (BBuf/AI-Infra-Auto-Driven-SKILLS, 900 stars), Add Model (guoqingbao/xinfer, 333 stars), Serving LLMs On Instinct (amd/skills, 395 stars) and Update Ollama Cloud Models (heypinchy/pinchy, 182 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains External Gitcode Ascend Vllm Ascend Deploy?

ascend-ai-coding (a GitHub organization) maintains it in ascend-ai-coding/awesome-ascend-skills, which has 174 GitHub stars. The repository holds 69 skills in this directory. The repository was last updated on October 7, 2026.

Source: ascend-ai-coding/awesome-ascend-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.