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Aliyun Swas Manage

Community
cinience
aliyun-swas-manage

Use when managing Alibaba Cloud Simple Application Server (SWAS OpenAPI 2020-06-01) resources end-to-end, including querying instances, starting/stopping/rebooting, executing commands (cloud assistant), managing disks/snapshots/images, firewall rules/templates, key pairs, tags, monitoring, lightweight database operations, and deploying application binaries with systemd service management and ESA CDN integration.

Overview

Publishercinience
Repositoryalicloud-skills
Skill namealiyun-swas-manage
Stars
397
Forks
34
Bundled files
11
LicenseMIT
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.

  • 11 bundled files

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

  • Open source

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

Installation

Install the Aliyun Swas Manage 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/cinience/alicloud-skills/tree/main/skills/compute/swas/aliyun-swas-manage
  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/cinience/alicloud-skills.git /tmp/alicloud-skills
mkdir -p .claude/skills
cp -r /tmp/alicloud-skills/skills/compute/swas/aliyun-swas-manage .claude/skills/aliyun-swas-manage
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aliyun Swas Manage 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 Aliyun Swas Manage 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 Aliyun Swas Manage 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.

Category: service

Simple Application Server (SWAS-OPEN 2020-06-01)

Use SWAS-OPEN OpenAPI to manage full SAS resources: instances, disks, snapshots, images, key pairs, firewall, Cloud Assistant, monitoring, tags, and lightweight databases.

Prerequisites

  • Prepare AccessKey with least-privilege RAM user/role.
  • Choose correct region and matching endpoint (public/VPC).ALIBABACLOUD_REGION_ID can be used as default region; if unset choose the most reasonable region, ask user if unclear.
  • This OpenAPI uses RPC signing; prefer Python SDK or OpenAPI Explorer instead of manual signing.

SDK Priority

  1. Python SDK (preferred)
  2. OpenAPI Explorer
  3. Other SDKs

Python SDK quick query (instance ID / IP / plan)

Virtual environment is recommended (avoid PEP 668 system install restrictions).

bash
python3 -m venv .venv
. .venv/bin/activate
python -m pip install alibabacloud_swas_open20200601 alibabacloud_tea_openapi alibabacloud_credentials
python
import os
from alibabacloud_swas_open20200601.client import Client as SwasClient
from alibabacloud_swas_open20200601 import models as swas_models
from alibabacloud_tea_openapi import models as open_api_models


def create_client(region_id: str) -> SwasClient:
    config = open_api_models.Config(
        region_id=region_id,
        endpoint=f"swas.{region_id}.aliyuncs.com",
    )
    ak = (
        os.getenv("ALIBABACLOUD_ACCESS_KEY_ID")
        or os.getenv("ALIBABA_CLOUD_ACCESS_KEY_ID")
        or os.getenv("ALICLOUD_ACCESS_KEY_ID")
    )
    sk = (
        os.getenv("ALIBABACLOUD_ACCESS_KEY_SECRET")
        or os.getenv("ALIBABA_CLOUD_ACCESS_KEY_SECRET")
        or os.getenv("ALICLOUD_ACCESS_KEY_SECRET")
    )
    if ak and sk:
        config.access_key_id = ak
        config.access_key_secret = sk
    return SwasClient(config)


def list_regions():
    client = create_client("cn-hangzhou")
    resp = client.list_regions(swas_models.ListRegionsRequest())
    return [r.region_id for r in resp.body.regions]


def list_instances(region_id: str):
    client = create_client(region_id)
    resp = client.list_instances(swas_models.ListInstancesRequest(region_id=region_id))
    return resp.body.instances


def main():
    for region_id in list_regions():
        for inst in list_instances(region_id):
            ip = getattr(inst, "public_ip_address", None) or getattr(inst, "inner_ip_address", None)
            spec = getattr(inst, "plan_name", None) or getattr(inst, "plan_id", None)
            print(inst.instance_id, ip or "-", spec or "-", region_id)


if __name__ == "__main__":
    main()

Python SDK scripts (recommended for inventory and summary)

  • All-region instance inventory (TSV/JSON):scripts/list_instances_all_regions.py
  • Count instances by plan:scripts/summary_instances_by_plan.py
  • Count instances by status:scripts/summary_instances_by_status.py
  • Fix SSH key-based access (custom port supported):scripts/fix_ssh_access.py
  • Get current SSH port of an instance:scripts/get_ssh_port.py

CLI Notes

  • aliyun CLI may not expose swas-open as product name; prefer Python SDK. If CLI is mandatory, generate request examples in OpenAPI Explorer first, then migrate to CLI.

Workflow

  1. Confirm resource type and region (instance/disk/snapshot/image/firewall/command/database/tag).
  2. Identify API group and operation in references/api_overview.md.
  3. Choose invocation method (Python SDK / OpenAPI Explorer / other SDK).
  4. After mutations, verify state/results with query APIs.

Common Operation Map

  • Instance query/start/stop/reboot:ListInstances、StartInstance(s)、StopInstance(s)、RebootInstance(s)
  • Command execution:RunCommand or CreateCommand + InvokeCommand; use DescribeInvocations/DescribeInvocationResult
  • Firewall:ListFirewallRules/CreateFirewallRule(s)/ModifyFirewallRule/EnableFirewallRule/DisableFirewallRule
  • Snapshot/disk/image:CreateSnapshot、ResetDisk、CreateCustomImage etc.

Application Deployment Best Practices

Binary Update Workflow

部署二进制到 SWAS 服务器的正确流程(避免 "text file busy" 错误):

1. 交叉编译 (GOOS=linux GOARCH=amd64)
2. SSH 停止远端服务 (systemctl stop)
3. SCP 上传二进制
4. SSH 重启服务 (systemctl start)
5. 验证服务状态

关键: 必须先停止服务再上传,否则覆盖运行中的二进制报 "text file busy"。

Systemd Service Management

bash
# 创建服务文件: /etc/systemd/system/myapp.service
# 启用开机自启: systemctl enable myapp
# 修改 .service 后: systemctl daemon-reload
# 查看日志: journalctl -u myapp -f

ESA CDN Integration

将 SWAS 应用通过 ESA CDN 暴露为 HTTPS 服务:

  1. ESA DNS 添加 A 记录 (proxied=true)
  2. ESA 申请 SSL 证书
  3. ESA 创建 Origin Rule (回源 HTTP + 指定端口)

流量路径: 客户端 HTTPS → ESA (SSL 终止) → HTTP 回源 → SWAS 应用端口

Detailed reference: references/deploy-workflow.md

Cloud Assistant Execution Notes

  • Target instance must be in Running state.
  • Cloud Assistant agent must be installed (use InstallCloudAssistant).
  • For PowerShell commands, ensure required modules are available on Windows instances.
  • After execution, use DescribeInvocations or DescribeInvocationResult to fetch status and outputs.

See references/command-assistant.md for details.

Clarifying questions (ask when uncertain)

  1. What is the target region? Is VPC endpoint required?
  2. What are target instance IDs? Are they currently Running?
  3. What command/script type/timeout is needed? Linux or Windows?
  4. Do you need batch execution or scheduled execution?

Output Policy

If you need to save results or responses, write to: output/compute-swas-open/

Validation

bash
mkdir -p output/aliyun-swas-manage
for f in skills/compute/swas/aliyun-swas-manage/scripts/*.py; do
  python3 -m py_compile "$f"
done
echo "py_compile_ok" > output/aliyun-swas-manage/validate.txt

Pass criteria: command exits 0 and output/aliyun-swas-manage/validate.txt is generated.

Output And Evidence

  • Save artifacts, command outputs, and API response summaries under output/aliyun-swas-manage/.
  • Include key parameters (region/resource id/time range) in evidence files for reproducibility.

Prerequisites

  • Configure least-privilege Alibaba Cloud credentials before execution.
  • Prefer environment variables: ALIBABACLOUD_ACCESS_KEY_ID, ALIBABACLOUD_ACCESS_KEY_SECRET, optional ALIBABACLOUD_REGION_ID.
  • If region is unclear, ask the user before running mutating operations.

Workflow

  1. Confirm user intent, region, identifiers, and whether the operation is read-only or mutating.
  2. Run one minimal read-only query first to verify connectivity and permissions.
  3. Execute the target operation with explicit parameters and bounded scope.
  4. Verify results and save output/evidence files.

References

  • API overview and operation groups:references/api_overview.md
  • Endpoints and integration:references/endpoints.md
  • Cloud Assistant highlights:references/command-assistant.md
  • Application deployment workflow: references/deploy-workflow.md
  • Official source list:references/sources.md

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 Aliyun Swas Manage AI skill do?

Use when managing Alibaba Cloud Simple Application Server (SWAS OpenAPI 2020-06-01) resources end-to-end, including querying instances, starting/stopping/rebooting, executing commands (cloud assistant), managing disks/snapshots/images, firewall rules/templates, key pairs, tags, monitoring, lightweight database operations, and deploying application binaries with systemd service management and ESA CDN integration.

Why use Aliyun Swas Manage on TypingMind?

Because you install it once and use it with any model. Aliyun Swas Manage 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 Aliyun Swas Manage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cinience/alicloud-skills/tree/main/skills/compute/swas/aliyun-swas-manage. 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 Aliyun Swas Manage?

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 Aliyun Swas Manage?

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

Is the Aliyun Swas Manage AI skill free?

Yes. It is published on GitHub by cinience under the MIT 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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