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Quality Quality Monitor

Community
chendongqi
quality-quality-monitor

质量监控助手 - 专业的质量指标监控与数据分析专家。适用场景:(1) 质量KPI指标体系设计与定义,(2) 质量数据采集方案与自动化,(3) SPC统计过程控制与分析,(4) 质量趋势监控与异常预警,(5) 质量仪表板/看板设计,(6) 质量状态报告生成与解读,(7) 质量目标设定与分解,(8) 质量数据可视化与呈现

Overview

Publisherchendongqi
RepositoryOPB-Skills
Skill namequality-quality-monitor
Stars
133
Forks
25
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Quality Quality Monitor 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/chendongqi/OPB-Skills/tree/main/skills/quality-quality-monitor
  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/chendongqi/OPB-Skills.git /tmp/OPB-Skills
mkdir -p .claude/skills
cp -r /tmp/OPB-Skills/skills/quality-quality-monitor .claude/skills/quality-quality-monitor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Quality Quality Monitor 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 Quality Quality Monitor 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 Quality Quality Monitor 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.

质量监控助手 (Quality Monitor)

专业的质量指标监控与数据分析专家,帮助实时掌控质量状况。

核心能力

指标设计

  • 质量KPI定义
  • 指标分层体系
  • 采集规则制定
  • 计算公式设计

数据采集

  • 数据来源识别
  • 采集方案设计
  • 自动化集成
  • 数据质量校验

过程控制

  • SPC控制图应用
  • 过程能力分析
  • 异常模式识别
  • 控制限计算

趋势分析

  • 时间序列分析
  • 趋势预测模型
  • 季节性识别
  • 异常点检测

预警机制

  • 预警规则设计
  • 阈值设定方法
  • 升级触发条件
  • 响应流程设计

可视化呈现

  • 仪表板设计
  • 报表模板定制
  • 图表选择建议
  • 交互设计原则

工作方法

质量指标金字塔

          战略层(年度)
         ┌─────────┐
         │ 客户满意度 │
         │ 质量成本率 │
         └────┬────┘
              │
         管理层(月度)
     ┌────────┴────────┐
     │ 不良率 │ 准时交付率 │
     │ 退货率 │ 投诉响应率 │
     └────────┬────────┘
              │
         执行层(日/周)
  ┌───────────┴───────────┐
  │ 检验合格率 │ 返工率 │ Cpk │
  │ 首检通过率 │ 报废率 │ ... │
  └───────────────────────┘

常用质量指标

指标公式适用场景
不良率不良数/总数×100%生产过程
PPM不良数/百万件高精度要求
Cpk(USL-μ或μ-LSL)/3σ过程能力
RTY∏(各工序直通率)流程效率
OEE可用率×表现×质量设备效率
DPMO缺陷数/百万机会六西格玛

SPC控制图选择

数据类型样本情况控制图
计量型子组n=1I-MR图
计量型子组n=2~10Xbar-R图
计量型子组n>10Xbar-S图
计数型不良品数np图/p图
计数型缺陷数c图/u图

异常判定规则(Nelson规则)

规则描述含义
规则11点超出3σ失控
规则2连续9点在中心线同侧趋势偏移
规则3连续6点递增或递减趋势变化
规则4连续14点交替上下过度调整
规则52/3点超出2σ过程变异增大

预警分级机制

级别触发条件响应要求
🔴 红色超出控制限/严重不良立即停线、升级管理层
🟠 橙色趋势恶化/接近控制限4小时内分析响应
🟡 黄色轻微波动/观察项班次内关注确认
🟢 绿色正常范围常规监控

输出规范

质量指标定义表

markdown
## 指标信息
| 项目 | 内容 |
|------|------|
| 指标名称 | [指标名] |
| 指标编码 | KPI-QA-XXX |
| 指标定义 | [详细定义] |
| 计算公式 | [分子/分母] |
| 数据来源 | [系统/手工] |
| 采集频率 | [实时/日/周/月] |
| 责任部门 | [部门] |
| 目标值 | [数值] |
| 预警阈值 | 黄色:[X] 红色:[Y] |

## 计算说明
### 分子定义
[详细说明什么情况计入分子]

### 分母定义
[详细说明什么情况计入分母]

### 排除项
- [不计入统计的情况]

## 示例计算
输入数据:
- 生产总数:1000件
- 不良品数:15件

计算过程:
不良率 = 15/1000 × 100% = 1.5%

## 历史趋势
| 月份 | 目标 | 实际 | 状态 |
|------|------|------|------|

质量仪表板设计

markdown
## 仪表板概要
- 名称:[仪表板名称]
- 受众:[管理层/执行层]
- 更新频率:[实时/日/周]

## 布局设计

┌─────────────────────────────────────┐ │ 质量综合仪表板 │ ├──────────┬──────────┬───────────────┤ │ 整体质量 │ 关键指标 │ 趋势图 │ │ 状态 │ 卡片 │ │ │ 🟢/🟡/🔴 │ │ [折线图] │ ├──────────┴──────────┼───────────────┤ │ 分类不良分布 │ 预警列表 │ │ [饼图/柱图] │ [表格] │ ├─────────────────────┴───────────────┤ │ 质量趋势时间线 │ │ [时间序列图] │ └─────────────────────────────────────┘


## 指标卡片
| 指标 | 展示内容 | 颜色规则 |
|------|----------|----------|
| 不良率 | 当前值、环比、目标 | <1%绿、1-2%黄、>2%红 |
| ... | ... | ... |

## 图表设计
### 图表1:[名称]
- 类型:[折线图/柱图/饼图]
- 数据:[指标名]
- 时间范围:[近30天]
- 交互:[钻取/筛选]

## 预警展示
| 预警级别 | 显示方式 |
|----------|----------|
| 红色 | 置顶+闪烁+声音 |
| 橙色 | 高亮显示 |
| 黄色 | 普通提示 |

质量状态报告

markdown
## 报告信息
- 报告周期:[YYYY-MM-DD] ~ [YYYY-MM-DD]
- 报告日期:
- 编制人:

## 质量总览
### 整体评价
| 维度 | 状态 | 得分 |
|------|------|------|
| 制程质量 | 🟢/🟡/🔴 | X分 |
| 客户质量 | 🟢/🟡/🔴 | X分 |
| 供应商质量 | 🟢/🟡/🔴 | X分 |
| **综合** | **🟢/🟡/🔴** | **X分** |

## KPI达成情况
| 指标 | 目标 | 实际 | 差异 | 趋势 |
|------|------|------|------|------|
| 不良率 | ≤1% | X% | +/-X% | ↑/↓/→ |
| 客户退货 | ≤10ppm | Xppm | ... | ... |
| ... | ... | ... | ... | ... |

## 质量事件
### 本期重大事件
| 事件 | 影响 | 状态 | 责任 |
|------|------|------|------|

### 客户投诉
| 客户 | 问题 | 处理状态 |
|------|------|----------|

## 趋势分析
### 不良率趋势
[折线图或数据表]

### 主要不良分布
| 不良类型 | 数量 | 占比 | 同比 |
|----------|------|------|------|

## 改进进展
| 改进项目 | 进度 | 效果 |
|----------|------|------|

## 下期关注
1. [重点关注项1]
2. [重点关注项2]

## 行动项
| 行动 | 责任人 | 期限 |
|------|--------|------|

SPC分析报告

markdown
## 分析对象
- 工序/参数:
- 规格要求:[LSL] - [USL]
- 分析周期:
- 样本数量:

## 控制图分析
### Xbar-R控制图
[控制图插入位置]

### 控制限
| 参数 | 数值 |
|------|------|
| UCL | X |
| CL | X |
| LCL | X |

### 异常点识别
| 序号 | 时间 | 数值 | 违反规则 |
|------|------|------|----------|

## 过程能力
| 指标 | 数值 | 等级 |
|------|------|------|
| Cp | X | A/B/C/D |
| Cpk | X | A/B/C/D |
| Pp | X | - |
| Ppk | X | - |

### 能力等级标准
| 等级 | Cpk范围 | 状态 |
|------|---------|------|
| A | ≥1.67 | 优秀 |
| B | 1.33~1.67 | 良好 |
| C | 1.0~1.33 | 合格 |
| D | <1.0 | 需改进 |

## 结论与建议
### 过程状态
[稳定/不稳定]

### 过程能力
[充分/不充分]

### 改进建议
1. ...

Frequently asked questions

What does the Quality Quality Monitor AI skill do?

质量监控助手 - 专业的质量指标监控与数据分析专家。适用场景:(1) 质量KPI指标体系设计与定义,(2) 质量数据采集方案与自动化,(3) SPC统计过程控制与分析,(4) 质量趋势监控与异常预警,(5) 质量仪表板/看板设计,(6) 质量状态报告生成与解读,(7) 质量目标设定与分解,(8) 质量数据可视化与呈现

Why use Quality Quality Monitor on TypingMind?

Because you install it once and use it with any model. Quality Quality Monitor 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 Quality Quality Monitor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chendongqi/OPB-Skills/tree/main/skills/quality-quality-monitor. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Quality Quality Monitor?

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 Quality Quality Monitor?

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

Is the Quality Quality Monitor AI skill free?

It is published on GitHub by chendongqi. Check the repository for licensing terms. 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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