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.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| SkillHub ↗ | 114 | 1.1K | 2 | — |
Platforms count differently and update at different times.
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
Generated from the skill’s documentation as examples; not results of actual runs.
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.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 1.1K | — | 2 |
| 2026-08 | 849 | +18.2% | 2 |
| 2026-07 | 718 | +37.0% | 2 |
| 2026-06 | 524 | +30.3% | 1 |
| 2026-05 | 402 | — | - |
| 2026-03 | 190 | — | - |
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.
--- 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。
--- ## 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
A data-interface skill that pulls A-share quotes, financials, and sector data through the AkShare library.
Query Eastmoney financial data in natural language and get Excel plus Markdown tables back.
Help organize China-patent materials, search questions, and technical-disclosure drafts.
Financial data skill: query structured market data via the westock CLI.
A local-first market research skill that reads Yahoo Finance data for quotes and fundamentals and renders charts with technical panels.
A valuation analysis skill for A-share and Hong Kong stocks built on a value investing framework.
A script for A-share quotes, intraday volume breakdowns, and portfolio tracking.
Watch watchlist quotes and technical indicators, then push alerts ranked by severity when conditions fire.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.