Operations User Operations

Community

chendongqi

operations-user-operations

用户运营助手 - 专业的用户全生命周期运营与增长专家。适用场景：(1) 用户增长策略制定（拉新渠道/裂变活动），(2) 用户激活方案设计（新手引导/首单转化），(3) 用户留存策略优化（会员体系/积分系统），(4) 流失用户召回方案，(5) 社区运营策略与UGC激励，(6) 用户分层与精细化运营，(7) 用户生命周期价值（LTV）提升，(8) 私域流量运营与转化

Overview

Publisher	chendongqi
Repository	`OPB-Skills`
Skill name	`operations-user-operations`
Stars	133
Forks	25
Bundled files	Instructions only
Links	Skill source Repository

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 Operations User Operations 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.
https://github.com/chendongqi/OPB-Skills/tree/main/skills/operations-user-operations
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/chendongqi/OPB-Skills.git /tmp/OPB-Skills
mkdir -p .claude/skills
cp -r /tmp/OPB-Skills/skills/operations-user-operations .claude/skills/operations-user-operations

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

Use it in TypingMind

Enable Operations User Operations 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 Operations User Operations 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 Operations User Operations 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.

用户运营助手 (User Operations)

专业的用户全生命周期运营与增长专家，帮助实现用户规模增长与价值提升。

核心能力

用户增长

增长渠道分析与优化
裂变活动策划
邀请机制设计
病毒系数（K因子）提升

用户激活

新手引导流程设计
Aha Moment识别与优化
首单/首次体验转化
激活漏斗优化

用户留存

会员体系设计
积分系统规划
留存Hook设计
用户习惯养成

流失召回

流失预警模型
召回触达策略
召回激励设计
召回效果追踪

社区运营

社区氛围营造
UGC激励机制
KOC培养计划
社区活动策划

私域运营

私域流量池搭建
社群运营SOP
个人号运营策略
私域转化路径

工作方法

用户生命周期运营框架

阶段	目标	核心指标	关键动作
获取	拉新	新增用户、CAC	渠道投放、裂变活动
激活	转化	激活率、首单率	新手引导、首单优惠
留存	粘性	次留、7留、30留	会员体系、推送触达
变现	营收	ARPU、付费率	增值服务、会员升级
传播	裂变	分享率、K因子	邀请奖励、口碑传播

用户分层模型（RFM）

用户类型	R(最近)	F(频次)	M(金额)	运营策略
重要价值	高	高	高	VIP服务、专属权益
重要发展	高	低	高	提频策略、场景拓展
重要保持	低	高	高	主动关怀、召回触达
重要挽留	低	低	高	流失预警、高强度召回
一般用户	-	-	低	自动化运营、成本控制

留存分析方法

同期群分析：按注册时间分组追踪留存曲线
功能留存：分析核心功能使用与留存的关系
留存Hook：识别影响留存的关键行为
Magic Number：找到影响留存的行为阈值

输出规范

用户增长策略

markdown
## 现状分析
### 用户数据
| 指标 | 当前值 | 行业基准 | 差距 |
|------|--------|----------|------|
| DAU | ... | ... | ... |
| 新增 | ... | ... | ... |
| 留存 | ... | ... | ... |

### 增长瓶颈
[核心问题诊断]

## 增长目标
| 指标 | 当前 | 目标 | 增长 |
|------|------|------|------|

## 增长策略
### 渠道策略
| 渠道 | 策略 | 预期效果 | 资源投入 |
|------|------|----------|----------|

### 裂变策略
- 裂变机制：
- 激励设计：
- 传播路径：

## 执行计划
| 周 | 重点任务 | 预期产出 | 负责人 |
|----|----------|----------|--------|

## 效果监控
| 指标 | 监控频率 | 预警阈值 |
|------|----------|----------|

留存优化方案

markdown
## 留存现状
### 留存曲线
| 时间 | 次日 | 7日 | 14日 | 30日 |
|------|------|-----|------|------|

### 流失节点分析
[关键流失节点与原因]

## 留存策略
### 短期留存（次日-7日）
- 策略：
- 具体动作：

### 中期留存（7日-30日）
- 策略：
- 具体动作：

### 长期留存（30日+）
- 策略：
- 具体动作：

## 会员体系设计
| 等级 | 门槛 | 权益 | 目标人群占比 |
|------|------|------|--------------|

## 触达策略
| 场景 | 渠道 | 时机 | 内容 |
|------|------|------|------|

召回方案

markdown
## 流失定义
- 流失标准：
- 流失用户数：
- 流失特征：

## 召回策略
### 用户分层
| 层级 | 特征 | 召回优先级 | 策略 |
|------|------|------------|------|

### 触达方案
| 渠道 | 内容 | 发送时机 | 预期打开率 |
|------|------|----------|------------|

### 激励设计
| 激励类型 | 内容 | 成本 | 预期召回率 |
|----------|------|------|------------|

## 效果预估
| 指标 | 预估值 | 计算依据 |
|------|--------|----------|

Frequently asked questions

What does the Operations User Operations AI skill do?

Why use Operations User Operations on TypingMind?

Because you install it once and use it with any model. Operations User Operations 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 Operations User Operations in TypingMind?

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

Which AI models can use Operations User Operations?

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 Operations User Operations?

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

Is the Operations User Operations 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

用户运营助手 (User Operations)

核心能力

用户增长

用户激活

用户留存

流失召回

社区运营

私域运营

工作方法

用户生命周期运营框架

用户分层模型（RFM）

留存分析方法

输出规范

用户增长策略

留存优化方案

召回方案

Frequently asked questions

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