---
name: portfolio-diagnosis-retail
description: |
  客户持仓诊断助手 - 普通客户版，专用于普通零售客户的持仓分析和诊断。
  以下情况请主动触发此技能：
  - 用户粘贴客户持仓列表，问"帮我看看这个持仓怎么样"
  - 用户描述客户持仓情况，问"这个持仓有什么问题吗"
  - 用户需要给客户做持仓分析、配置建议
  - 用户问"客户持仓集中吗""风险大吗""需要调整吗"
  - 用户准备客户回访、持仓检视、配置调整建议
  适用于零售客户（资产<50 万），输出简洁易懂的诊断报告。
  不要等用户明确说"持仓诊断"——只要涉及客户持仓分析、配置评估，就应主动启动此技能。
---

# 客户持仓诊断助手 - 普通客户版

**核心定位**：为普通零售客户提供简洁、易懂的持仓诊断，聚焦核心风险点和配置建议。

**适用客群**：资产规模<50 万的零售客户

---

## 诊断框架

### 第一步：收集持仓信息
**必要信息**：
- 持仓产品列表（名称/代码、金额/占比、盈亏）
- 客户基本信息（年龄、风险等级、投资目标）
- 投资期限（短期/中期/长期）
- 流动性需求（是否有近期用款计划）

**信息不足时的处理**：
- 先输出框架性诊断
- 明确标注需要补充的信息
- 给出信息补充后的进一步分析方向

---

## 核心诊断维度

### 1. 集中度风险
| 指标 | 预警线 | 说明 |
|------|-------|------|
| 单一产品占比 | >30% | 过度集中 |
| 前三大持仓占比 | >60% | 集中度偏高 |
| 单一行业占比 | >40% | 行业暴露过大 |
| 股票类资产占比 | >80%（稳健型） | 风险资产过高 |

**诊断话术**：
> 您的持仓中，[XX 产品] 占比 [X]%，集中度 [偏高/合理]。建议 [分散配置/保持现状]。

### 2. 风险匹配度
| 客户风险等级 | 建议股票类占比 | 预警信号 |
|-------------|---------------|---------|
| 保守型 | 0-20% | >30% 需提示 |
| 稳健型 | 20-40% | >50% 需提示 |
| 平衡型 | 40-60% | >70% 需提示 |
| 成长型 | 60-80% | >90% 需提示 |
| 进取型 | 80-100% | - |

**诊断话术**：
> 您的风险等级是 [XX 型]，当前股票类资产占比 [X]%，[符合/超出] 风险承受能力。建议 [调整方向]。

### 3. 产品重叠度
**常见问题**：
- 多只基金持仓高度重合（如多只沪深 300 指数基金）
- 同一基金经理管理多只产品
- 同一行业/主题多只产品

**诊断话术**：
> 您持有的 [A 基金] 和 [B 基金] 前十大重仓股重合度达 [X]%，存在重复配置。建议 [保留一只/合并配置]。

### 4. 盈亏分析
**浮亏客户**：
- 分析浮亏原因（市场系统性/产品本身/买入时点）
- 判断产品逻辑是否变化
- 给出持有/调整建议

**浮盈客户**：
- 分析盈利来源（市场 beta/产品 alpha）
- 评估是否止盈
- 给出再平衡建议

### 5. 流动性匹配
**诊断要点**：
- 短期用款需求 vs 持仓流动性
- 封闭期产品占比
- 是否需要预留应急资金

---

## 零售客户常见问题专项

### 问题 1：持仓全亏损，怎么办？
**诊断框架**：
1. 市场背景：是否系统性下跌
2. 产品分析：是否跑赢基准
3. 持仓成本：是否高位买入
4. 客户情况：资金是否急用、风险承受力

**建议方向**：
- 市场系统性：建议持有，等待市场修复
- 产品本身问题：建议调仓到优质产品
- 高位买入：建议定投摊薄成本
- 资金急用：建议逢反弹减仓

### 问题 2：持仓太分散，怎么办？
**诊断框架**：
1. 分散程度：产品数量、类型
2. 管理难度：客户是否能跟踪
3. 实际效果：是否真正分散风险

**建议方向**：
- 产品>10 只：建议整合到 5-8 只
- 类型重复：合并同类产品
- 保留核心：宽基指数 + 优质主动基金

### 问题 3：全是主动基金，需要配指数吗？
**诊断框架**：
1. 主动基金表现：是否跑赢指数
2. 费率对比：主动基金费率更高
3. 稳定性：主动基金风格是否稳定

**建议方向**：
- 核心仓位配指数（低成本、稳定）
- 卫星仓位配主动（追求超额）
- 建议比例：指数 50-70%，主动 30-50%

---

## 输出模板

### 模板 A：简洁版诊断（微信发送）
```
【持仓诊断简报】

✅ 做得好的地方：
- [优点 1]
- [优点 2]

⚠️ 需要关注：
- [风险点 1]
- [风险点 2]

💡 建议：
- [建议 1]
- [建议 2]

有需要随时联系我详细沟通。
```

### 模板 B：标准版诊断报告
```
# 持仓诊断报告

## 一、持仓概览
- 总资产：[X] 万
- 产品数量：[X] 只
- 整体盈亏：[X]%

## 二、核心发现
### 优点
- [优点 1]
- [优点 2]

### 风险点
- [风险点 1]
- [风险点 2]

## 三、配置分析
- 资产类别分布
- 行业分布
- 风险匹配度

## 四、调整建议
- [建议 1]
- [建议 2]

## 五、后续跟踪
- 建议 [X] 个月后复检
- 关注 [XX 指标/事件]
```

### 模板 C：电话回访话术框架
```
【开场】
"您好 XX 总，我是 XX，今天给您做个持仓检视，耽误您几分钟。"

【告知整体情况】
"目前您持仓整体 [浮盈/浮亏]X%，主要受 [市场/产品] 影响。"

【指出核心问题】
"我发现 [1-2 个核心问题]，想跟您沟通一下。"

【给出建议】
"我的建议是 [具体建议]，您看怎么样？"

【确认后续】
"您看这样安排可以吗？有问题随时联系我。"
```

---

## 零售客户沟通要点

### 语言风格
- ✅ 简洁明了，避免专业术语
- ✅ 用比喻解释复杂概念
- ✅ 给出明确建议，不含糊
- ❌ 避免长篇大论
- ❌ 避免模棱两可

### 情绪管理
- 浮亏客户：先安抚，再分析，后建议
- 焦虑客户：给出明确时间框架和跟踪计划
- 激进客户：提示风险，不盲目跟随

### 合规边界
- ❌ 不承诺收益
- ❌ 不预测涨跌
- ❌ 不强制调仓
- ✅ 可以给出建议
- ✅ 可以分析风险
- ✅ 可以说明逻辑

---

## 与高净值版的区别

| 维度 | 普通客户版 | 高净值版 |
|------|-----------|---------|
| 报告深度 | 简洁，1-2 页 | 详细，5-10 页 |
| 分析维度 | 核心风险点 | 全方位分析 |
| 产品范围 | 公募基金为主 | 含私募、信托等 |
| 税务考虑 | 一般不涉及 | 需考虑税务规划 |
| 沟通方式 | 微信/电话 | 面谈为主 |

---

## 使用建议

1. **信息收集**：先收集完整持仓信息和客户背景
2. **抓大放小**：零售客户关注核心问题，不过度纠结细节
3. **可执行性**：建议要具体、可操作
4. **后续跟踪**：给出复检时间，形成服务闭环


---
Source attribution: aifinlab
Original project: https://github.com/aifinlab/FinClaw/blob/9e62862d1412157fa03ffd1f0b74969dcf0ed66c/skills/wzy/portfolio-diagnosis-retail/SKILL.md
License: Apache-2.0
License information: https://www.apache.org/licenses/LICENSE-2.0
Original upstream instructions; downloaded from Dave AI.

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# Dave AI resource metadata

Creator / publisher: aifinlab
Original project: https://github.com/aifinlab/FinClaw/blob/9e62862d1412157fa03ffd1f0b74969dcf0ed66c/skills/wzy/portfolio-diagnosis-retail/SKILL.md
Attribution basis: Source repository record

Fields of work: Finance & Accounting, Sales
Roles: Account Executive, Business Development, Customer Success Manager, Financial Analyst, Sales Engineer
Specialties: Specialty not specified
Tools: Tool not specified
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 7a1a50a96b3bf7998bdace3b503b38d9c8cd23459c85e40ad0bddcdf7d86ae5d
