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A股分红能力分析工具

Professionalv1.0.0
By user_4753d00dUpdated 2026-10-01stock-dividend-analyzer@user_4753d00d/stock-dividend-analyzer
Finance

According to AlphaMoat, as of 2026-09, A股分红能力分析工具 has 1,129 downloads and 2 stars — ranked #4,974 of 5,078 AI skills overall, and #455 of 465 in Professional.

Installs
114
Downloads
1.1K
Stars
2
Overall Rank
#4,974
Top 98% overall · Top 98% in Professional
PlatformInstallsDownloadsStarsComments
SkillHub ↗1141.1K2—

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What this skill does

The skill describes a workflow that gathers annual-report and announcement data, excludes companies that have announced plans, and then screens candidates using retained profit, capital reserve, share capital, price, and historical records. Results are predictions; actual plans depend on company announcements. A stock split or bonus issue does not imply a gain, and the material is not investment advice.

Profile published 2026-10-29

What you can do with it

  • Summarize screening dimensions for cash and stock dividends
  • Exclude companies with announced dividend plans
  • Organize candidate analysis by risk preference and state uncertainty

When to use it

  • When summarizing screening criteria related to A-share dividends
  • When structuring candidate analysis from public data with explicit prediction limits

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Summarize only the screening indicators and analysis steps used by this skill; do not provide a stock list or individual recommendation.
Explain the uncertainties in screening results and distinguish announced facts from predictions.

Monthly Trend

Downloads1.1K
1156601.2K2026-03 · Downloads 1902026-05 · Downloads 4022026-06 · Downloads 5242026-07 · Downloads 7182026-08 · Downloads 8492026-09 · Downloads 1.1K26-0326-09
Stars2
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The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
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2026-06524+30.3%1
2026-05402—-
2026-03190—-

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

3.4 KB · SkillHub v1.0.0
---
name: stock-dividend-analyzer
description: A股高分红与高送转潜力股分析工具。分析现金分红和股票股利两个维度,筛选未公告的高潜力标的。支持:(1)现金分红筛选:每股未分配利润、ROE、历年分红记录;(2)高送转筛选:每股资本公积金、每股未分配利润、总股本、股价;(3)已公告排除:自动过滤已发布分红方案的公司;(4)投资建议:按风险偏好分类推荐。触发场景:用户询问分红、送股、送转、高送转、潜力股、年报分红等。
---

# 高分红与高送转潜力股分析

## 核心功能

本技能从**现金分红**和**股票股利**两个维度,筛选A股市场尚未公告但具备高分红、高送转潜力的股票。
Show all (121 lines)

---

## 一、现金分红筛选标准

| 指标 | 筛选阈值 | 说明 |
|------|----------|------|
| 分红连续性 | 连续3年以上 | 分红意愿强 |
| 每股未分配利润 | 大于5元 | 分红能力强 |
| ROE | 大于15% | 盈利质量高 |
| 业绩增长 | 稳定增长 | 无大幅波动 |

---

## 二、高送转筛选标准

| 指标 | 筛选阈值 | 说明 |
|------|----------|------|
| 每股资本公积金 | 大于5元 | 具备转增能力 |
| 每股未分配利润 | 大于3元 | 具备送股能力 |
| 总股本 | 小于20亿股 | 扩张意愿强 |
| 股价 | 相对较高 | 有拆股动力 |
| 历年送转记录 | 有过送转 | 概率更高 |

---

## 三、分析流程

### Step 1: 获取最新年报数据

使用 web_search 或 web_fetch 获取:
- 东方财富分红数据中心:https://data.eastmoney.com/yjfp/
- 已公告分红方案列表
- 每10股派息金额
- 送转方案

### Step 2: 排除已公告公司

从潜力股名单中剔除已发布具体分红方案的公司。

### Step 3: 筛选潜力股

**第一梯队(大概率高分红/高送转):**
- 每股未分配利润大于10元
- 每股资本公积金大于8元
- 历年稳定分红

**第二梯队(稳健型):**
- 每股未分配利润5-10元
- 行业龙头
- 业绩稳定

**第三梯队(高送转潜力):**
- 小市值、高资本公积金
- 成长性强

### Step 4: 生成分析报告

输出包含:
- 分层股票名单(代码、名称、板块、关键指标、推测方案)
- 投资建议(保守型/稳健型/成长型)
- 风险提示

---

## 四、常用数据来源

| 数据类型 | 来源 |
|----------|------|
| 分红方案 | 东方财富 https://data.eastmoney.com/yjfp/ |
| 年报业绩 | 同花顺、东方财富 |
| 每股指标 | Wind、东方财富 |
| 实时行情 | 东方财富、同花顺 |

---

## 五、输出格式建议

```
## A股高分红与高送转潜力股分析

### 一、现金分红潜力股

**第一梯队:**
| 代码 | 名称 | 板块 | 每股未分配 | 推测分红 |
|------|------|------|-----------|----------|
| xxx | xxx | xxx | xxx元 | 每10股派xx元 |

### 二、高送转潜力股

**第一梯队:**
| 代码 | 名称 | 每股资本公积 | 每股未分配 | 潜在方案 |
|------|------|-------------|-----------|----------|
| xxx | xxx | xxx元 | xxx元 | 10转xx |

### 三、投资建议
...

### 四、风险提示
...
```

---

## 六、注意事项

1. **本报告为预测**,实际分红需等公司公告
2. **业绩可能波动**,导致分红不及预期
3. **高送转不等于高收益**,需结合基本面分析
4. **股市有风险**,本报告不构成投资建议

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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.