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Agent Skill · 待分类

dividend-growth-pullback-screener(股息增长回调筛选器)

dividend-growth-pullback-screener 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

dividend-growth-pullback-screener 是待分类类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有未通过项,按安装量在待分类类的 11,209 个 Skill 里排第 2,775。

总安装 1,395周安装 57GitHub Stars 174下载 451核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:dividend-growth-pullback-screener(股息增长回调筛选器)
来源仓库:https://github.com/nicepkg/ai-workflow
仓库路径:skills/dividend-growth-pullback-screener
安装命令:
npx skills add https://github.com/nicepkg/ai-workflow --skill dividend-growth-pullback-screener
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/nicepkg/ai-workflow --skill dividend-growth-pullback-screener

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

dividend-growth-pullback-screener 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合围绕项目状态进行整理。适用于仓库分析、代码变更追踪或协作事项管理等场景。通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。

安装前需确认权限范围、维护状态,以及是否会触发联网或命令执行。建议结合原始 README 和仓库路径进一步核验具体用法和功能边界。

来源仓库内路径:skills/dividend-growth-pullback-screener

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/nicepkg/ai-workflow --skill dividend-growth-pu…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

dividend-growth-pullback-screener 怎么安装?

在终端执行 npx skills add https://github.com/nicepkg/ai-workflow --skill dividend-growth-pullback-scr…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

dividend-growth-pullback-screener 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

dividend-growth-pullback-screener 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

dividend-growth-pullback-screener 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

dividend-growth-pullback-screener 用的人多吗?

公开数据是累计安装 1,395 次,近一周安装 57 次,下载 451 次,GitHub 174 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

dividend-growth-pullback-screener 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
dividend-growth-pullback-screener

股息增长回调筛选器 · 本页

1,395174接触敏感数据未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Dividend Growth Pullback Screener

Overview

This skill screens for dividend growth stocks that exhibit strong fundamental characteristics but are experiencing temporary technical weakness. It targets stocks with exceptional dividend growth rates (12%+ CAGR) that have pulled back to RSI oversold levels (≤40), creating potential entry opportunities for long-term dividend growth investors.

Investment Thesis: High-quality dividend growth stocks (often yielding 1-2.5%) compound wealth through dividend increases rather than high current yield. Buying these stocks during temporary pullbacks (RSI ≤40) can enhance total returns by combining strong fundamental growth with favorable technical entry timing.

When to Use This Skill

Use this skill when:

  • Looking for dividend growth stocks with exceptional compounding potential (12%+ dividend CAGR)
  • Seeking entry opportunities in quality stocks during temporary market weakness
  • Willing to accept lower current yields (1.5-3%) for higher dividend growth
  • Focusing on total return over 5-10 years rather than current income
  • Market conditions show sector rotations or broad pullbacks affecting quality names

Do NOT use when:

  • Seeking high current income (use value-dividend-screener instead)
  • Requiring immediate dividend yields >3%
  • Looking for deep value plays with strict P/E or P/B requirements
  • Short-term trading focus (<6 months)

Screening Workflow

Step 1: Set API Keys

Two-Stage Approach (RECOMMENDED)

For optimal performance, use FINVIZ Elite API for pre-screening + FMP API for detailed analysis:

# Set both API keys as environment variables
export FMP_API_KEY=your_fmp_key_here
export FINVIZ_API_KEY=your_finviz_key_here

Why Two-Stage?

  • FINVIZ: Fast pre-screening with RSI filter (1 API call → ~10-50 candidates)
  • FMP: Detailed fundamental analysis only on pre-screened candidates
  • Result: Analyze more stocks with fewer FMP API calls (stays within free tier limits)
FMP-Only Approach (Original Method)

If you don't have FINVIZ Elite access:

export FMP_API_KEY=your_key_here

Limitation: FMP free tier (250 requests/day) limits analysis to ~40 stocks. Use --max-candidates 40 to stay within limits.

Step 2: Execute Screening

Two-Stage Screening (RECOMMENDED):

cd dividend-growth-pullback-screener/scripts
python3 screen_dividend_growth_rsi.py --use-finviz

This executes:

  1. FINVIZ pre-screen: Dividend yield 0.5-3%, Dividend growth 10%+, EPS growth 5%+, Sales growth 5%+, RSI <40
  2. FMP detailed analysis: Verify 12%+ dividend CAGR, calculate exact RSI, analyze fundamentals

FMP-Only Screening:

python3 screen_dividend_growth_rsi.py --max-candidates 40

Customization Options:

# Two-stage with custom parameters
python3 screen_dividend_growth_rsi.py --use-finviz --min-yield 2.0 --min-div-growth 15.0 --rsi-max 35

# FMP-only with custom parameters
python3 screen_dividend_growth_rsi.py --min-yield 2.0 --min-div-growth 10.0 --max-candidates 30

# Provide API keys as arguments (instead of environment variables)
python3 screen_dividend_growth_rsi.py --use-finviz --fmp-api-key YOUR_FMP_KEY --finviz-api-key YOUR_FINVIZ_KEY

Step 3: Review Results

The script generates two outputs:

  1. JSON file: dividend_growth_pullback_results_YYYY-MM-DD.json

- Structured data with all metrics for further analysis - Includes dividend growth rates, RSI values, financial health metrics

  1. Markdown report: dividend_growth_pullback_screening_YYYY-MM-DD.md

- Human-readable analysis with stock profiles - Scenario-based probability assessments - Entry timing recommendations

Step 4: Analyze Qualified Stocks

For each qualified stock, the report includes:

Dividend Growth Profile:

  • Current yield and annual dividend
  • 3-year dividend CAGR and consistency
  • Payout ratio and sustainability assessment

Technical Timing:

  • Current RSI value (≤40 = oversold)
  • RSI context (extreme oversold <30 vs. early pullback 30-40)
  • Price action relative to recent trend

Quality Metrics:

  • Revenue and EPS growth (confirms business momentum)
  • Financial health (debt levels, liquidity ratios)
  • Profitability (ROE, profit margins)

Investment Recommendation:

  • Entry timing assessment (immediate vs. wait for confirmation)
  • Risk factors specific to the stock
  • Upside scenarios based on dividend growth compounding

Screening Criteria Details

Phase 1: Fundamental Screening (FMP API)

Initial Filter:

  • Dividend Yield ≥ 1.5% (calculated from actual dividend payments)
  • Market Cap ≥ $2 billion (liquidity and stability)
  • Exchange: NYSE, NASDAQ (excludes OTC/pink sheets)

Dividend Growth Analysis:

  • 3-Year Dividend CAGR ≥ 12% (doubles dividend in 6 years)
  • Dividend Consistency: No cuts in past 4 years
  • Payout Ratio < 100% (sustainability check)

Financial Health:

  • Positive revenue growth over 3 years
  • Positive EPS growth over 3 years
  • Debt-to-Equity < 2.0 (manageable leverage)
  • Current Ratio > 1.0 (liquidity)

Phase 2: Technical Screening (RSI Calculation)

RSI Calculation:

  • 14-period RSI using daily closing prices
  • Formula: RSI = 100 - (100 / (1 + RS))

- RS = Average Gain / Average Loss over 14 periods

  • Data source: FMP historical prices (past 30 days)

RSI Filter:

  • RSI ≤ 40 (oversold/pullback condition)
  • RSI interpretation:

- < 30: Extreme oversold (potential reversal) - 30-40: Early pullback (uptrend correction) - 40: Not oversold (excluded)

Phase 3: Ranking and Output

Composite Scoring (0-100):

  • Dividend Growth (40%): Reward higher CAGR and consistency
  • Financial Quality (30%): ROE, profit margins, debt levels
  • Technical Setup (20%): Lower RSI = better entry opportunity
  • Valuation (10%): P/E and P/B for context (not exclusionary)

Stocks ranked by composite score. Top scorers combine exceptional dividend growth with attractive technical entry points.

Understanding the Results

Interpreting RSI Levels

RSI 25-30 (Extreme Oversold):

  • Often indicates panic selling or negative news
  • Higher risk but potentially highest reward
  • Recommended: Wait for RSI to turn up (sign of stabilization)
  • Entry: Scale in with 50% position, add on RSI >30

RSI 30-35 (Strong Oversold):

  • Normal correction in strong uptrend
  • Lower risk than extreme oversold
  • Recommended: Can initiate position immediately
  • Entry: Full position acceptable, set stop loss 5-8% below

RSI 35-40 (Early Pullback):

  • Mild weakness in uptrend
  • Lowest risk of further decline
  • Recommended: Conservative entry for high conviction stocks
  • Entry: Full position, tight stop loss 3-5% below

Dividend Growth Compounding Examples

12% Dividend CAGR (Minimum Threshold):

  • Starting Yield: 1.5%
  • Year 6: 2.96% yield on cost (doubled)
  • Year 12: 5.85% yield on cost (4x)
  • Example: Visa (V), Mastercard (MA) historical profile

15% Dividend CAGR (Excellent):

  • Starting Yield: 1.8%
  • Year 6: 4.08% yield on cost (2.3x)
  • Year 12: 9.22% yield on cost (5.1x)
  • Example: Microsoft (MSFT) 2010-2020 period

20% Dividend CAGR (Exceptional):

  • Starting Yield: 2.0%
  • Year 6: 6.00% yield on cost (3x)
  • Year 12: 18.0% yield on cost (9x)
  • Example: Apple (AAPL) 2012-2020 period

Key Insight: Lower starting yield + high growth > high starting yield + low growth over 10+ years.

Troubleshooting

No Results Found

Possible Causes:

  1. Market conditions: Strong bull market with few oversold stocks
  2. Criteria too strict: 12% dividend growth is rare (5-10 stocks typically qualify)
  3. RSI threshold too low: Consider raising to RSI ≤45 for more candidates

Solutions:

  • Relax RSI threshold: --rsi-max 45 (early pullback phase)
  • Lower dividend growth: --min-div-growth 10.0 (still excellent growth)
  • Lower minimum yield: --min-yield 1.0 (capture more growth stocks)

API Rate Limit Reached

FMP Free Tier Limits:

  • 250 requests/day
  • Each stock analyzed requires 6 API calls (quote, dividend, prices, income, balance, cashflow, metrics)
  • Maximum ~40 stocks per day in FMP-only mode

Solutions:

1. Use FINVIZ Two-Stage Approach (RECOMMENDED)

python3 screen_dividend_growth_rsi.py --use-finviz
  • FINVIZ pre-screening: 1 API call → 10-50 candidates (already filtered by RSI)
  • FMP analysis: 6 calls × 10-50 stocks = 60-300 FMP calls
  • Advantage: FINVIZ RSI filter dramatically reduces candidates, staying within FMP limits

2. Limit FMP-Only Candidates

python3 screen_dividend_growth_rsi.py --max-candidates 40

3. Wait 24 Hours for Rate Limit Reset

  • FMP resets at UTC midnight

4. Upgrade to FMP Paid Plan

  • Starter ($14/month): 500 requests/day
  • Professional ($29/month): 1,000 requests/day

Note: FINVIZ Elite subscription ($40/month) + FMP free tier is more cost-effective than FMP paid plans for this use case.

RSI Calculation Errors

Issue: "Insufficient price data for RSI calculation"

Cause: Stock has less than 30 days of trading history (IPO or inactive)

Solution: Script automatically skips stocks with insufficient data. No action needed.

Combining with Other Skills

Pre-Screening Context:

  1. Market News Analyst → Identify sector rotations or market pullbacks
  2. Breadth Chart Analyst → Confirm broader market oversold conditions
  3. Economic Calendar Fetcher → Check for upcoming rate decisions or macro events

Post-Screening Analysis:

  1. Technical Analyst → Analyze individual stock charts for qualified candidates
  2. US Stock Analysis → Deep dive on specific stocks before entry
  3. Backtest Expert → Validate RSI + dividend growth strategy historically

Example Workflow:

1. Market News Analyst: "Market pulled back 5% this week on Fed hawkish comments"
2. Breadth Chart Analyst: Confirms market oversold (S&P breadth weak)
3. Dividend Growth Pullback Screener: Finds 8 quality dividend growers with RSI <35
4. Technical Analyst: Analyze top 3 candidates for support levels and entry timing
5. Execute: Enter scaled positions with 6-12 month time horizon

Resources

scripts/

screen_dividend_growth_rsi.py - Main screening script

  • Integrates FMP API for fundamental data
  • Calculates 14-period RSI from historical prices
  • Applies multi-phase filtering and ranking
  • Outputs JSON and markdown reports

references/

rsi_oversold_strategy.md - RSI indicator explanation

  • How RSI identifies oversold conditions
  • Difference between extreme oversold (<30) vs. early pullback (30-40)
  • Combining RSI with fundamental analysis
  • False positive management and risk mitigation

dividend_growth_compounding.md - Dividend growth mathematics

  • Power of 12%+ dividend CAGR over time
  • Yield vs. growth trade-offs
  • Historical examples (MSFT, V, MA, AAPL)
  • Quality characteristics of dividend growth stocks

fmp_api_guide.md - API usage documentation

  • API key setup and management
  • Endpoint documentation for screening
  • Rate limiting strategies
  • Error handling and troubleshooting

Disclaimer: This screening tool is for informational purposes only. Past dividend growth does not guarantee future performance. Conduct thorough due diligence before making investment decisions. RSI oversold conditions do not guarantee price reversals - stocks can remain oversold for extended periods.

平台分布

Codex

33.15%
按下载量换算150

Claude

30.72%
按下载量换算139

Cursor

16.87%
按下载量换算76

Gemini CLI

9.46%
按下载量换算43

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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