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Finance Screen

Community
zubair-trabzada
finance-screen

Investment screener with pre-built strategies (Dividend Growth, 3-Fund Index, Bond Allocation, REITs, International Diversification, ESG) and custom criteria support. Returns curated ticker lists, allocation models, expected returns, expense ratios, and a recommended portfolio with rebalancing notes. Output saved as FINANCE-SCREEN.md.

Overview

Publisherzubair-trabzada
Repositoryai-finance-claude
Skill namefinance-screen
Stars
84
Forks
20
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by zubair-trabzada on GitHub. Read the source before you install it.

Installation

Install the Finance Screen 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/zubair-trabzada/ai-finance-claude/tree/main/skills/finance-screen
  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/zubair-trabzada/ai-finance-claude.git /tmp/ai-finance-claude
mkdir -p .claude/skills
cp -r /tmp/ai-finance-claude/skills/finance-screen .claude/skills/finance-screen
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Finance Screen 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 Finance Screen 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 Finance Screen 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.

/finance screen — Investment Screener

DISCLAIMER: For educational/informational purposes only. Not financial advice. This is not a recommendation to buy any specific security.

Purpose

Help the user build or refine an investment portfolio using proven, evidence-based screens. Output is a model portfolio with specific ticker examples, allocation weights, and expected behavior — not a buy/sell recommendation.

When To Trigger

  • User types /finance screen <strategy> or /finance screen (then prompts for strategy)
  • User asks "what should I invest in?", "build me a portfolio", "what ETFs for X?", "low cost index fund portfolio"
  • User wants to add diversification to existing holdings

Pre-Built Screens

1. Dividend Growth Screen

Goal: Companies with rising dividends, sustainable payout ratios, durable moats.

Criteria:

  • 10+ consecutive years of dividend increases (Dividend Aristocrats / Achievers)
  • Payout ratio < 60%
  • Free cash flow growth > 5%/yr
  • Dividend yield 2-5%
  • Debt-to-equity < 1.5

Representative Holdings:

  • JNJ, PG, KO, PEP, MMM (Dividend Aristocrats)
  • VIG (Vanguard Dividend Appreciation ETF, expense ratio 0.06%)
  • SCHD (Schwab US Dividend Equity, 0.06%)
  • DGRO (iShares Core Dividend Growth, 0.08%)

Expected: 8-10% annualized total return, 2-3% yield, lower volatility than S&P 500.

2. Three-Fund Index Portfolio (Bogleheads)

Goal: Maximum diversification, lowest cost, set-and-forget.

Allocation (age-based):

  • US Total Stock Market: (110 - age)% * 0.6
  • International Total Stock: (110 - age)% * 0.4
  • US Total Bond Market: age%

Example for age 35: 45% US stocks / 30% International / 25% Bonds

Representative Holdings:

  • VTI (Vanguard Total Stock, 0.03%) or FSKAX
  • VXUS (Vanguard Total International, 0.07%) or FTIHX
  • BND (Vanguard Total Bond, 0.03%) or FXNAX

Expected: 7-9% annualized real return, broad market exposure, near-zero idiosyncratic risk.

3. Bond Allocation Screen

Goal: Stability, income, ballast against equity drawdowns.

Sub-allocation:

  • Total US Bond Market (intermediate): 50%
  • Treasury Inflation-Protected (TIPS): 20%
  • Short-term Treasuries (cash buffer): 15%
  • High-yield corporate (small allocation, optional): 10%
  • International bonds (USD-hedged): 5%

Representative Holdings:

  • BND, AGG (total bond market)
  • VTIP, SCHP (TIPS)
  • VGSH, SHY (short-term Treasury)
  • JNK, HYG (high yield — flag as higher risk)
  • BNDX (international bonds, USD-hedged)

Expected: 3-5% annualized return, low correlation to equities, downside protection.

4. Real Estate (REITs)

Goal: Real estate exposure without owning property; inflation hedge; income.

Allocation: Cap REIT exposure at 5-15% of portfolio.

Representative Holdings:

  • VNQ (Vanguard Real Estate, 0.12%)
  • SCHH (Schwab US REIT, 0.07%)
  • REET (iShares Global REIT, 0.14%)
  • O (Realty Income — individual stock, monthly dividend)

Sub-sectors to consider:

  • Residential, Industrial (data centers, logistics), Healthcare, Self-Storage

Expected: 7-9% return, 3-4% yield, sensitive to interest rates.

5. International Diversification

Goal: Reduce home-country bias; capture global growth.

Allocation:

  • Developed International (Europe, Japan, Asia-Pac): 60% of international sleeve
  • Emerging Markets: 30%
  • International Small-Cap: 10%

Representative Holdings:

  • VEA, IXUS (Developed International)
  • VWO, IEMG (Emerging Markets)
  • VSS (International Small-Cap)

Rule of thumb: 30-40% of equity sleeve in international.

Expected: 6-9% return, higher volatility from currency + EM exposure.

6. ESG / Sustainable

Goal: Environmental, social, governance screen; align portfolio with values.

Representative Holdings:

  • ESGV (Vanguard ESG US Stock, 0.09%)
  • VSGX (Vanguard ESG International, 0.12%)
  • ESGD (iShares ESG Developed Markets, 0.20%)
  • SUSL (iShares MSCI USA ESG Leaders, 0.15%)

Caveats to flag:

  • ESG definitions vary; check fund methodology
  • Some ESG funds underweight energy, may underperform during energy bull runs
  • Expense ratios higher than vanilla index funds

Expected: Returns close to broad index minus 0.1-0.3%/yr; tracking error.

Custom Screen

If user specifies custom criteria, accept inputs like:

  • Sector preference (tech, healthcare, energy, etc.)
  • Geographic focus (US only, ex-US, emerging)
  • Factor tilts (value, growth, momentum, quality, small-cap)
  • Yield target (e.g., "3%+ dividend yield")
  • Expense ratio cap (e.g., "under 0.20%")
  • Risk tolerance (conservative / moderate / aggressive)
  • ESG requirements

Combine with relevant pre-built screens and provide a customized allocation.

Required Inputs

  1. Strategy choice (one of the 6 above, or "custom")
  2. Investable amount (lump sum or monthly contribution)
  3. Time horizon (years until needed)
  4. Risk tolerance (1-10 scale or conservative/moderate/aggressive)
  5. Age (for age-based allocations)
  6. Account type (taxable / IRA / Roth / 401k — affects tax efficiency choices)
  7. Existing holdings (to avoid overlap and surface concentration)

Output Format

Save to FINANCE-SCREEN.md.

markdown
# Investment Screen: [Strategy Name]

**Generated:** [Date]
**Investable Capital:** $X (lump) + $Y/mo
**Time Horizon:** [N] years
**Risk Profile:** [Conservative / Moderate / Aggressive]
**Account Type:** [Taxable / IRA / Roth / 401k]

> **DISCLAIMER:** For educational/informational purposes only. Not financial advice. Not a recommendation to buy any specific security. Always consult a licensed financial advisor.

---

## Strategy Summary

[2-3 sentence description of the strategy, philosophy, evidence base]

## Recommended Allocation

| Asset Class | Weight | Vehicle | Expense Ratio | Example Ticker |
|-------------|--------|---------|---------------|----------------|
| US Stocks   | X%     | ETF     | 0.03%         | VTI            |
| International | X%   | ETF     | 0.07%         | VXUS           |
| Bonds       | X%     | ETF     | 0.03%         | BND            |
| ...         |        |         |               |                |

**Total Expense Ratio (weighted):** X.XX%
**Annual Cost on $100K:** $XX

## Dollar Allocation

If investing $X today:
| Holding | Amount | Shares (approx) |
|---------|--------|-----------------|
| VTI     | $X     | Y               |
| ...     |        |                 |

## Expected Behavior

| Metric | Estimate |
|--------|----------|
| Expected annual return | X-Y% |
| Expected volatility (std dev) | X% |
| Max drawdown (historical) | -X% |
| Expected dividend yield | X% |
| Correlation to S&P 500 | X.XX |

## Tax Efficiency Notes

- [Which holdings belong in taxable vs tax-advantaged accounts]
- [Tax-loss harvesting candidates]
- [Foreign tax credit considerations for international]
- [Qualified dividends vs ordinary income]

## Rebalancing Rules

- **Frequency:** Annually, or when any allocation drifts >5% from target
- **Method:** Rebalance with new contributions first (tax-efficient); only sell if drift is severe
- **Threshold for action:** ±5 percentage points from target weight

## Risks To Understand

1. **Market risk** — Broad equity drawdowns of 30-50% have occurred historically
2. **Inflation risk** — [How this strategy fares]
3. **Interest rate risk** — [Bond duration considerations]
4. **Concentration risk** — [Overlap with existing holdings, single-country exposure]
5. **Behavioral risk** — Will you actually stay invested during a 40% drawdown?

## What This Strategy Is NOT

- Not a market-timing strategy
- Not a short-term trading approach
- Not stock picking
- Not guaranteed to outperform

## Action Steps This Week

1. Open or fund account at [broker recommendations: Vanguard, Fidelity, Schwab — all offer commission-free ETF trading]
2. Place initial buy orders for: [list]
3. Set up automatic monthly contributions of $X
4. Calendar a rebalance check 12 months from today

---

**DISCLAIMER:** For educational/informational purposes only. Not financial advice. Not a recommendation to buy any specific security. Tickers are examples of vehicles that fit the screen criteria — equivalent alternatives from other providers exist. Always consult a licensed financial advisor, CPA, or tax professional before making investment decisions. Past performance does not guarantee future results. All investments carry risk of loss.

Important Disclaimers To Include

  • Never present screens as "stock picks" or "buy recommendations"
  • Always note alternatives exist (VTI ≈ ITOT ≈ SCHB ≈ SPTM)
  • Flag any high-cost or high-risk vehicles explicitly
  • Note that backtests don't predict the future
  • Emphasize behavioral discipline over selection alpha

Tone

Educational. Quantitative. Cite long-run academic evidence (e.g., "Fama-French three-factor model," "low-cost index funds beat ~80% of active managers over 15 years per SPIVA"). Don't hype any strategy.

DISCLAIMER: For educational/informational purposes only. Not financial advice.

Frequently asked questions

What does the Finance Screen AI skill do?

Investment screener with pre-built strategies (Dividend Growth, 3-Fund Index, Bond Allocation, REITs, International Diversification, ESG) and custom criteria support. Returns curated ticker lists, allocation models, expected returns, expense ratios, and a recommended portfolio with rebalancing notes. Output saved as FINANCE-SCREEN.md.

Why use Finance Screen on TypingMind?

Because you install it once and use it with any model. Finance Screen 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 Finance Screen in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zubair-trabzada/ai-finance-claude/tree/main/skills/finance-screen. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Finance Screen?

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 Finance Screen?

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

Is the Finance Screen AI skill free?

It is published on GitHub by zubair-trabzada. Check the repository for licensing terms. 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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