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Personal Cfo

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coreyhaines31
personal-cfo

When you want to model personal financial scenarios — house purchase + rental income (ADU, bedroom rentals, house-hacking), renovation budgets, monthly cash flow, big-purchase decisions, savings/investment what-ifs for a household. Ships with a house scenario template; other scenarios (refi, car, education, retirement, side income) slot in as templates. Outputs markdown scenario comparison tables. Saves scenarios to ~/Documents/personal-cfo/ with an index in ~/.config/makerskills/personal-cfo/archive/. Composes with decide, deep-research (rental comps, rates), business-brainstorm, second-brain. Triggers on "/personal-cfo," "model this scenario," "house math," "rental forecast," "monthly cash flow," "what if I rent out the ADU," "compare these housing scenarios," "should we buy this house," "house-hack math," "renovation budget."

Overview

Publishercoreyhaines31
Repositorymakerskills
Skill namepersonal-cfo
Stars
855
Forks
71
Bundled files
2
LicenseMIT
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 coreyhaines31 on GitHub. Read the source before you install it.

Installation

Install the Personal Cfo 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/coreyhaines31/makerskills/tree/main/skills/personal-cfo
  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/coreyhaines31/makerskills.git /tmp/makerskills
mkdir -p .claude/skills
cp -r /tmp/makerskills/skills/personal-cfo .claude/skills/personal-cfo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Personal Cfo 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 Personal Cfo 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 Personal Cfo 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.

/personal-cfo — Personal financial scenario modeling

This skill is for a household (you + partner): housing decisions, monthly cash flow, big purchases, scenario what-ifs. Pair it with a business-books CFO skill if you also run one for a company — the DNA is the same, the domain is different.

Step 1 — Pick the scenario type

InvocationTypeWhat it models
/personal-cfo house (default for now)houseBuy a house + rental income scenarios (ADU / bedrooms / combinations) + renovations + monthly cash flow
/personal-cfo refirefiRefinancing scenarios
/personal-cfo cash-flowcash-flowGeneric monthly cash flow (income, expenses, savings rate)
/personal-cfo big-purchasebig-purchaseShould we buy X (car, education, equipment) — cash vs finance vs lease comparisons
/personal-cfo side-incomeside-incomeAdding a side income stream — break-even, tax implications
/personal-cfo savings-what-ifsavings-what-ifWhat if we put $X into Y for N years — index funds, real estate, etc.

For v0.1, only the house template is fleshed out. Others are sketched in references/templates/ as stubs.

Step 2 — Gather inputs

Ask in a structured batch. For house mode, see references/templates/house.md for the full input questionnaire. Core fields:

Property

  • Purchase price
  • Down payment (% or $)
  • Mortgage rate + term (years)
  • Property taxes (annual)
  • HOA (monthly, if any)
  • Homeowner's insurance (monthly)
  • Closing costs (estimate)

Renovations / repairs

  • Day-1 renovations (line items with estimates — kitchen, bath, ADU buildout, etc.)
  • Year-1 expected repairs
  • Annual maintenance budget (rule of thumb: 1% of purchase price)

Rental scenarios (for the house mode)

  • ADU monthly rent estimate + vacancy assumption (typical: 5–8%)
  • Bedroom 1 monthly rent + vacancy
  • Bedroom 2 monthly rent + vacancy
  • Utilities split assumption (who pays what)
  • Property management cost (if not self-managing)

Personal

  • Current monthly housing cost (rent or current mortgage)
  • Combined household income
  • Marginal tax bracket (for mortgage interest + rental income calcs)
  • Time horizon for the analysis (typical: 5 yr, 10 yr, 30 yr)

If anything's fuzzy, ask. Don't proceed with placeholder numbers — financial models with wrong inputs are dangerous.

Step 3 — Build the scenarios

For the house mode, default scenarios to compare:

ScenarioDescription
BaselineOwn + live in, no rental income
A: ADU onlyRent the ADU, live in main house
B: 1 bedroom onlyHouse-hack 1 bedroom, keep ADU empty (or for guests)
C: 2 bedrooms onlyHouse-hack 2 bedrooms, ADU empty
D: ADU + 1 bedroomBoth ADU and 1 bedroom rented
E: ADU + 2 bedroomsMaximum rental
F: ADU + bedrooms (year 2+)Year 1: just ADU while renovating. Year 2+: add bedrooms after partner's comfort

Let the user customize the scenario list — every house is different.

Step 4 — Run the math

For each scenario, calculate:

Monthly

  • Mortgage payment (P&I) — see references/calculators.md for the formula
    • Property tax / 12
    • HOA + Insurance + Utilities (owner-paid portion)
  • − Gross rental income (rooms + ADU)
  • × (1 − vacancy rate) for effective rental income
  • − Property management fee (if applicable)
  • = Net monthly housing cost (negative = positive cash flow)

Annual

  • Sum of 12 months
    • One-time renovation costs (amortized over time horizon)
  • − Tax savings (mortgage interest deduction + depreciation on rented portion)

Long-term

  • Equity build-up (mortgage paydown + appreciation assumption — default 3%/yr)
  • Total cost of ownership at year 5 / 10 / 30
  • Return on cash invested vs. alternative (e.g., S&P 500 at 7% real return)

Step 5 — Output the comparison table

Output to ~/Documents/personal-cfo/<scenario-slug>-<YYYY-MM-DD>/:

  • inputs.yaml — all the input numbers (so the analysis is rerunnable + auditable)
  • report.md — the full analysis with assumptions called out
  • comparison.md — side-by-side scenario table (the headline output)

comparison.md template

markdown
# <Property nickname> — scenario comparison

**Date:** YYYY-MM-DD
**Property:** <address or nickname>
**Time horizon:** 10 years
**Key assumptions:** 3%/yr appreciation, 7% S&P alt return, 6% vacancy

| Scenario | Net monthly cost | Annual cost | 10-yr total | Equity @ 10yr | Notes |
|---|---:|---:|---:|---:|---|
| Baseline | $X,XXX | $XX,XXX | $XXX,XXX | $XXX,XXX | No rental income |
| A: ADU | $X,XXX | $XX,XXX | $XXX,XXX | $XXX,XXX | $X,XXX/mo ADU rent |
| B: 1 BR | … | … | … | … | … |
| C: 2 BR | … | … | … | … | … |
| D: ADU + 1 BR | … | … | … | … | … |
| E: ADU + 2 BR | … | … | … | … | … |

## Headline takeaway
<1–2 sentences: which scenario wins on cash flow, which wins on lifestyle, where the inflection points are>

## Sensitivity analysis
- If rates rise 1%: <impact>
- If ADU rent comes in 20% lower: <impact>
- If renovations overrun 30%: <impact>
- If vacancy doubles to 12%: <impact>

## Open questions
- <what would change the recommendation>
- <what to research next — composes with /deep-research>

Step 6 — Archive

Save the scenario folder so future revisits work. The archive index lives in ${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/personal-cfo/archive/ (create the directory if missing). Never write archives inside the skill's own folder — skill installs and upgrades re-sync from source and wipe anything saved there. Migration: if this skill's folder contains an old references/scenarios-archive/ with user entries, move those files into the archive directory first.

Append a one-liner to <archive dir>/INDEX.md (create if missing):

markdown
- 2026-06-26 — [<property nickname>](~/Documents/personal-cfo/<slug>-2026-06-26/) — <type> — <headline takeaway>

This compounds — when you're considering Property #2 a year later, you can reuse the model and grep past analyses for patterns.

Step 7 — Surface + offer follow-ups

  • Show the comparison table in chat
  • Tell the user the workdir path
  • Offer:
    • "Want to run /deep-research on rental comps for the area to firm up the ADU and bedroom rent assumptions?"
    • "Want to formalize the buy/don't-buy decision through /decide once the scenarios land?"
    • "Want to capture this analysis to second-brain raw/ as note-house-<slug>.md?"
    • "Want me to revisit in 30 days as more info comes in (loan rate locked, inspection done, etc.)?"

Composes with

  • decide — once scenarios are modeled, the buy / don't / negotiate decision goes through /decide. Cash flow analysis is input, not the decision itself.
  • deep-research — for inputs that need market data: rental comps, mortgage rate trends, neighborhood trajectory, school ratings, comparable sales.
  • business-brainstorm — if the scenario tips into "this is a business" (e.g., short-term rental, multi-unit purchase, scaling to N properties), route there to pressure-test the business angle.
  • second-brain — capture analyses to raw/note-house-<slug>.md so they live in the personal wiki and can be referenced later.

Notes on quality

  • Conservative assumptions by default. Default to higher vacancy (8% not 5%), lower appreciation (3% not 6%), 20% buffer on renovation estimates. Real estate optimism is the most reliable way to lose money.
  • Surface the sensitivity, not just the point estimate. A scenario that's positive only if everything goes right isn't actually positive.
  • Lifestyle is a real variable. "Living with 2 roommates" can be financially optimal AND a quality-of-life disaster. Note these tradeoffs in the report, even if they aren't quantified.
  • Tax calcs are starting points, not authoritative. This skill estimates; an accountant verifies. Flag this in the report.
  • The decision isn't here — the inputs to the decision are. This skill produces the model. /decide makes the call.

Future templates (sketched in references/templates/)

  • refi.md — refinance scenarios
  • cash-flow.md — generic monthly budget
  • big-purchase.md — cash vs finance vs lease for big-ticket items
  • side-income.md — adding a side income stream
  • savings-what-if.md — investment what-ifs

v0.1 ships only house.md fleshed out. Add others when the use case is real.

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 Personal Cfo AI skill do?

When you want to model personal financial scenarios — house purchase + rental income (ADU, bedroom rentals, house-hacking), renovation budgets, monthly cash flow, big-purchase decisions, savings/investment what-ifs for a household. Ships with a house scenario template; other scenarios (refi, car, education, retirement, side income) slot in as templates. Outputs markdown scenario comparison tables. Saves scenarios to ~/Documents/personal-cfo/ with an index in ~/.config/makerskills/personal-cfo/archive/. Composes with decide, deep-research (rental comps, rates), business-brainstorm, second-br...

Why use Personal Cfo on TypingMind?

Because you install it once and use it with any model. Personal Cfo 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 Personal Cfo in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/coreyhaines31/makerskills/tree/main/skills/personal-cfo. 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 Personal Cfo?

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 Personal Cfo?

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

Is the Personal Cfo AI skill free?

Yes. It is published on GitHub by coreyhaines31 under the MIT 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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