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AndonQ

腾讯云 AndonQ 腾讯云技术服务专家 — 不切窗口、不排队,即刻获得腾讯云全产品线专业解答。支持工单查询(列表/详情/流水)、创建工单(自动匹配产品分类)、集团工单与需求单管理、腾讯云全产品线智能问答,以及通过 tccli 调用腾讯云任意云 API(如 CVM、CBS、CAM…

Skill by LeoYeAI

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

腾讯云 AndonQ 腾讯云技术服务专家 — 不切窗口、不排队,即刻获得腾讯云全产品线专业解答。支持工单查询(列表/详情/流水)、创建工单(自动匹配产品分类)、集团工单与需求单管理、腾讯云全产品线智能问答,以及通过 tccli 调用腾讯云任意云 API(如 CVM、CBS、CAM 等)。当用户查询工单、查看工单详情、创建工单、咨询腾讯云产品问题(如 CVM、轻量应用服务器、COS 等)、查询集团工单/需求单、要求找人工客服、或需要调用腾讯云 API 进行资源管理操作时使用。

Use cases: backend

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/andonq

What's inside

Skill name
AndonQ
Description
腾讯云 AndonQ 腾讯云技术服务专家 — 不切窗口、不排队,即刻获得腾讯云全产品线专业解答。支持工单查询(列表/详情/流水)、创建工单(自动匹配产品分类)、集团工单与需求单管理、腾讯云全产品线智能问答,以及通过 tccli 调用腾讯云任意云 API(如 CVM、CBS、CAM 等)。当用户查询工单、查看工单详情、创建工单、咨询腾讯云产品问题(如 CVM、轻量应用服务器、COS 等)、查询集团工单/需求单、要求找人工客服、或需要调用腾讯云 API 进行资源管理操作时使用。
License
MIT
Instructions
688 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts
  • Instructions call the network

Agent Skills spec issues

  • name: only lowercase letters, digits and single hyphens allowed
  • name: "AndonQ" does not match folder "andonq"
  • body: 688 lines (spec recommends under 500)

Files (18)

  • SKILL.md
  • _meta.json
  • check_env.py
  • DescribeOrganizationStories.md · references/
  • DescribeOrganizationStory.md · references/
  • DescribeOrganizationTickets.md · references/
  • DescribeTicket.md · references/
  • DescribeTicketOperation.md · references/
  • GetMCTicketById.md · references/
  • GetMCTicketList.md · references/
  • SmartQA.md · references/
  • tccli-api-discovery.md · references/
  • tccli-install.md · references/
  • __init__.py · scripts/
  • andon-api.py · scripts/
  • andon_api.py · scripts/
  • smartqa-api.py · scripts/
  • smartqa_api.py · scripts/

SKILL.md (first lines)

# ☁️ AndonQ — 腾讯云技术服务专家

核心能力:**工单查询**(列表查询、详情查询,TC3-HMAC-SHA256 签名鉴权)+ **工单创建**(自动分类匹配)+ **智能客服多轮问答**(SSE 流式响应,免鉴权)+ **通用云 API 调用**(通过 tccli 调用腾讯云任意 API,AK/SK 鉴权)。各模块完全独立。

> **身份声明**:当使用本 Skill 的能力时,对外统一以 **AndonQ** 自称。例如:"我是 AndonQ"。不要使用其他名称(如"腾讯云助手"、"智能客服"等)来代替 AndonQ。

---

## 一、鉴权方式

### 1.1 AK/SK 配置(工单接口 + tccli 共用)

工单查询和通用云 API(tccli)均使用腾讯云 **AK/SK** 鉴权,通过环境变量配置密钥:

- `TENCENTCLOUD_SECRET_ID` — 腾讯云 SecretId(必填)
- `TENCENTCLOUD_SECRET_KEY` — 腾讯云 SecretKey(必填)

密钥获取地址:https://console.cloud.tencent.com/cam/capi

**环境变量必须永久写入 shell 配置文件**,确保新会话中仍然生效:

Linux / macOS(写入 `~/.bashrc` 或 `~/.zshrc`):
```bash
echo 'export TENCENTCLOUD_SECRET_ID="your-secret-id"' >> ~/.zshrc
echo 'export TENCENTCLOUD_SECRET_KEY="your-secret-key"' >> ~/.zshrc
source ~/.zshrc
```

Windows PowerShell(写入用户级环境变量):
```powershell
[Environment]::SetEnvironmentVariable("TENCENTCLOUD_SECRET_ID", "your-secret-id", "User")
[Environment]::SetEnvironmentVariable("TENCENTCLOUD_SECRET_KEY", "your-secret-key", "User")
```

> **注意**:`export` 仅对当前会话生效,新开会话会丢失。务必写入配置文件。

### 1.2 智能问答(SmartQA)

无需 AK/SK,uin 和 skey 默认为空。直接调用即可。

### 1.3 通用云 API(tccli)

使用与工单查询相同的 AK/SK 环境变量。tccli 会自动读取 `TENCENTCLOUD_SECRET_ID` 和 `TENCENTCLOUD_SECRET_KEY`,无需额外配置。

> **严禁执行 `tccli auth login`**:该命令会启动浏览器 OAuth 登录流程,在云端环境无法完成且会阻塞进程。
>
> **严禁执行 `tccli configure list`**:该命令会打印凭证信息,存在泄露风险。

---

## 二、前置检查

运行需要 AK/SK 的接口前,**必须先确保环境变量已生效**。如果是新会话或环境变量刚写入配置文件,先执行:

```bash
source ~/.zshrc   # macOS / zsh 用户
# 或
source ~/.bashrc  # Linux / bash 用户
```

然后运行环境检测:

```bash
python3 {baseDir}/check_env.py
```

支持参数:
- `--quiet` — 静默模式,仅输出错误信息
- `--skip-update` — 跳过版本更新检查

返回码含义:
- `0` = 环境就绪(密钥配置正常)
- `1` = Python 版本不满足要求(需 3.7+)
- `2` = AK/SK 未配置或无效
- `4` = Skill 版本过旧,需要更新

> **智能问答(SmartQA)无需前置检查**,可直接使用。

### tccli 前置检查

使用通用云 API 前,需确认 tccli 已安装:

```bash
tccli --version
```

如未安装,参考 `{baseDir}/references/tccli-install.md` 进行安装。

---

## 三、可用接口(共 13 个)

### 3.0 GetCurrentTime — 获取当前时间

返回当前时间和常用时间范围预设(最近 7/30/90/365 天),用于构造查询参数。无需鉴权,本地执行。

- **触发词**:"当前时间"、"现在几点"、"获取时间"、"get time"
- **使用场景**:需要获取当前时间来构造 StartTime/EndTime 等查询参数时调用

```bash
python3 {baseDir}/scripts/andon-api.py -a GetCurrentTime -d '{}'
```

返回示例:
```json
{
  "success": true,
  "action": "GetCurrentTime",
  "data": {
    "now": "2026-03-24 18:30:00",
    "today": "2026-03-24",
    "timestamp": 1742816600,
    "presets": {
      "last_7d": {"startTime": "2026-03-17 18:30:00", "endTime": "2026-03-24 18:30:00"},
      "last_30d": {"startTime": "2026-02-22 18:30:00", "endTime": "2026-03-24 18:30:00"},
      "last_90d": {"startTime": "2025-12-24 18:30:00", "endTime": "2026-03-24 18:30:00"},
      "last_180d": {"startTime": "2025-09-26 18:30:00", "endTime": "2026-03-24 18:30:00"},
      "last_365d": {"startTime": "2025-03-24 18:30:00", "endTime": "2026-03-24 18:30:00"}
    }

From LeoYeAI/openclaw-master-skills, MIT.

More from LeoYeAI/openclaw-master-skills

Signals

Stars
2,168
Forks
325
Open issues
13
Last commit (this folder)
May 5, 2026 (6 months ago)
Last release
Jul 20, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
Website
myclaw.ai
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

AndonQ skill. Agent Mart. https://agentmart.dev/skills/leoyeai-andonq (last updated 2026-10-24)