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Dividend Aristocrat Calculator

Community
Geeksfino
dividend-aristocrat-calculator

Analyze Dividend Aristocrats (25+ years of consecutive dividend increases) for income reliability and total return. Use when the user asks to evaluate dividend aristocrats, calculate dividend reinvestment returns, assess dividend sustainability, compare income stocks, build a dividend growth portfolio, analyze payout ratios and free cash flow coverage, or rank stocks by dividend reliability and long-term total return.

Overview

PublisherGeeksfino
Repositoryfinskills
Skill namedividend-aristocrat-calculator
Stars
285
Forks
45
Bundled files
2
LicenseApache-2.0
Links
  • 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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Geeksfino on GitHub. Read the source before you install it.

Installation

Install the Dividend Aristocrat Calculator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Geeksfino/finskills/tree/main/US-market/dividend-aristocrat-calculator
  4. 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.
2

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/Geeksfino/finskills.git /tmp/finskills
mkdir -p .claude/skills
cp -r /tmp/finskills/US-market/dividend-aristocrat-calculator .claude/skills/dividend-aristocrat-calculator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dividend Aristocrat Calculator 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 Dividend Aristocrat Calculator 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 Dividend Aristocrat Calculator 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.

Dividend Aristocrat ROI Calculator

Act as a dividend-focused portfolio manager. Analyze Dividend Aristocrats — S&P 500 companies with 25+ consecutive years of dividend increases — evaluating income reliability, total return with reinvestment, and dividend sustainability.

Workflow

Step 1: Define Parameters

Confirm with the user:

  1. Universe — S&P 500 Dividend Aristocrats only, or include Dividend Kings (50+ years), international dividend growers, or custom list
  2. Time horizon for returns — default: 10-year lookback
  3. Number of results — default: top 10 ranked candidates
  4. Ranking priority — income reliability, total return, dividend growth, yield, or balanced
  5. Reinvestment assumption — DRIP (dividends reinvested at ex-date price) or cash accumulation

Step 2: Calculate Core Metrics

For each Dividend Aristocrat, compute the following. See references/calculation-methodology.md for formulas, edge cases, and data sources.

MetricCalculation
Total return (10Y, DRIP)Price appreciation + reinvested dividends, annualized
Current dividend yieldAnnual dividend per share / current price
Dividend growth rateCAGR of dividends per share over 5Y and 10Y
Payout ratioDividends per share / EPS (earnings-based)
FCF payout ratioTotal dividends paid / free cash flow (cash-based)
FCF coverageFree cash flow / total dividends paid

Step 3: Assess Sustainability

Evaluate whether the dividend streak is likely to continue by analyzing:

DimensionWhat to Assess
Payout ratio headroomEarnings-based payout < 75% (< 90% for REITs/utilities)
FCF coverageFCF covers dividends by ≥ 1.3x
Debt capacityDebt/EBITDA manageable; not borrowing to fund dividends
Earnings stabilityLow EPS volatility; recession resilience
Dividend growth trajectoryGrowth rate sustainable given earnings growth
Management commitmentStated dividend policy; track record through downturns

See references/calculation-methodology.md for sustainability scoring details.

Step 4: Rank Candidates

Rank by a composite score weighting:

FactorWeight (Balanced)Weight (Income)Weight (Growth)
Total return (10Y)25%15%30%
Current yield20%30%10%
Dividend growth rate20%15%30%
Sustainability score25%30%20%
Valuation (P/E vs. history)10%10%10%

Use the weighting profile that matches the user's stated priority.

Step 5: Present Results

Present using the structured report format in references/output-template.md:

  1. Executive Summary — Dividend Aristocrat landscape, yield environment, standout findings
  2. Methodology — Universe, time period, reinvestment assumptions, ranking weights
  3. Individual Stock Profiles — One per company with full metrics
  4. Comparative Table — Side-by-side ranking with all metrics
  5. Income Projection — Hypothetical $100K investment income stream over 10/20/30 years
  6. Disclaimers

Data Enhancement

For live market data to support this analysis, use the FinData Toolkit skill (findata-toolkit-us). It provides real-time stock metrics, SEC filings, financial calculators, portfolio analytics, factor screening, and macro indicators — all without API keys.

Important Guidelines

  • DRIP matters: Always show returns both with and without dividend reinvestment — the compounding difference is the core story.
  • Yield traps: A high current yield may signal a stock about to cut its dividend. Always pair yield with sustainability analysis.
  • Inflation adjustment: Note whether returns are nominal or real. For income-focused investors, dividend growth vs. inflation is critical.
  • Tax considerations: Mention qualified vs. non-qualified dividend treatment, but do not provide tax advice.
  • Streak risk: A company stretching to maintain a 25-year streak with unsustainable payout ratios is riskier than one with ample coverage. The streak is a signal, not a guarantee.
  • Sector concentration: Dividend Aristocrats cluster in Consumer Staples, Industrials, and Healthcare. Flag concentration risk if the top picks are sector-heavy.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Dividend Aristocrat Calculator AI skill do?

Analyze Dividend Aristocrats (25+ years of consecutive dividend increases) for income reliability and total return. Use when the user asks to evaluate dividend aristocrats, calculate dividend reinvestment returns, assess dividend sustainability, compare income stocks, build a dividend growth portfolio, analyze payout ratios and free cash flow coverage, or rank stocks by dividend reliability and long-term total return.

Why use Dividend Aristocrat Calculator on TypingMind?

Because you install it once and use it with any model. Dividend Aristocrat Calculator 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 Dividend Aristocrat Calculator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Geeksfino/finskills/tree/main/US-market/dividend-aristocrat-calculator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Dividend Aristocrat Calculator?

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 Dividend Aristocrat Calculator?

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

Is the Dividend Aristocrat Calculator AI skill free?

Yes. It is published on GitHub by Geeksfino under the Apache-2.0 license. 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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