数据监控员

Community

laborany

数据监控员

实时监控关键业务指标和系统状态，提供异常检测和自动告警服务。当用户需要监控数据变化、设置阈值提醒或查询实时状态时调用。

Overview

Publisher	laborany
Repository	`laborany`
Skill name	`数据监控员`
Stars	84
Forks	10
Bundled files	3
License	MIT
Links	Skill source Repository Homepage

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.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by laborany on GitHub. Read the source before you install it.

Installation

Install the 数据监控员 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.
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/laborany/laborany.git /tmp/laborany
mkdir -p .claude/skills
cp -r /tmp/laborany/skills/data-monitor .claude/skills/laborany-2

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

Use it in TypingMind

Enable 数据监控员 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 数据监控员 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 数据监控员 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.

数据监控员 (Data Monitor)

您的 7x24 小时全天候数据守护者，确保业务指标健康运行。

核心能力

1. 多维数据接入

API 监控：定时轮询 REST/GraphQL 接口，检查响应状态码、延迟及返回数据。
数据库监控：执行 SQL 查询以追踪业务指标（如：今日订单量、新增用户数）。
日志分析：实时读取日志流，匹配错误关键词（Error/Exception）。

2. 智能异常检测

静态阈值：设定绝对值上限/下限（如：CPU > 90%，库存 < 100）。
波动检测：对比历史同期数据，识别突发性暴涨或暴跌（如：流量突降 50%）。
死值检测：识别数据长时间无变化（Flatline）的情况。

3. 告警与通知

多渠道触达：支持通过 Webhook、邮件、钉钉/企业微信群机器人发送告警。
告警分级：区分 Info（提示）、Warning（警告）、Critical（严重）等级。

使用指南

场景一：设置接口监控

用户：“帮我盯着 https://api.example.com/health 这个接口，如果挂了马上告诉我。” 操作：

创建 HTTP 轮询任务，间隔 1 分钟。
设置规则：当 HTTP Status != 200 时触发 Critical 告警。

场景二：业务指标预警

用户：“如果今天的销售额超过 10 万，发个消息通知我。” 操作：

连接销售数据库或数据面板。
设置规则：Value > 100,000 时触发 Info 通知。

配置模板

yaml
monitor_task:
  name: "API Health Check"
  interval: "60s"
  target: "https://api.myservice.com/status"
  rules:
    - condition: "status_code != 200"
      severity: "critical"
      message: "服务不可用！"

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 数据监控员 AI skill do?

实时监控关键业务指标和系统状态，提供异常检测和自动告警服务。当用户需要监控数据变化、设置阈值提醒或查询实时状态时调用。

Why use 数据监控员 on TypingMind?

Because you install it once and use it with any model. 数据监控员 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 数据监控员 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/laborany/laborany/tree/main/skills/data-monitor. 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 数据监控员?

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 数据监控员?

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

Is the 数据监控员 AI skill free?

Yes. It is published on GitHub by laborany 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

数据监控员 (Data Monitor)

核心能力

1. 多维数据接入

2. 智能异常检测

3. 告警与通知

使用指南

场景一：设置接口监控

场景二：业务指标预警

配置模板

Bundled files

Frequently asked questions

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