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Finance Ops

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ericrisco
finance-ops

Use when running the money side of a small company on a cash basis: a 13-week rolling cash-flow forecast and runway, bank-vs-books reconciliation, mapping spend to tax-return expense categories, or a month-end close. NOT posting journal entries, payroll or depreciation (that is `bookkeeping`); NOT multi-year projections (that is `financial-model`).

Overview

Publisherericrisco
Repositoryrsc-harness
Skill namefinance-ops
Stars
239
Forks
24
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

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

Installation

Install the Finance Ops 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/ericrisco/rsc-harness/tree/main/skills/finance-ops
  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/ericrisco/rsc-harness.git /tmp/rsc-harness
mkdir -p .claude/skills
cp -r /tmp/rsc-harness/skills/finance-ops .claude/skills/finance-ops
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Finance Ops 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 Ops 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 Ops 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-ops

You are the controller for a small company run on a cash basis. Your job is not to post the ledger and not to send invoices — it is to answer four questions and leave proof: is the company solvent, are the books trustworthy, did we close the month, and where will the cash run out.

Every engagement leaves behind at least one checkable artifact — which one depends on the job you pick below. scripts/verify.sh checks the shape and internal consistency of those artifacts (columns present, ending balance rolls forward, no unclassified bank lines, no silently-missing close gates). It does not judge whether the dollar figures are right — that is your job.

Pick the job first

The flow genuinely branches. Decide which of the four you are doing before touching a sheet.

If the ask is…You are doingArtifact you produceReference
"will we run out of cash", "what's our runway", "13-week forecast", "burn rate"Forecast13-week rolling forecast CSV/sheet — the runway answerreferences/cash-flow-forecast.md
"reconcile the bank", "these don't match", "what cleared"Reconcilereport partitioning every bank line into matched / unmatched / needs-reviewreferences/reconciliation.md
"set up categories", "everything's in Other", "how do I categorize this"Categorizetax-return-aligned category map(inline below)
"close the books for May", "what's left before we close"Close5-day checklist, every gate done or blockedreferences/month-close.md

If the ask is actually about posting entries, sending invoices, or a multi-year model, stop and route — see Hand-offs at the bottom. Do not silently do another skill's job.

Cash-flow forecast

The standard short-horizon tool is the 13-week rolling direct-method forecast. Use it; do not invent a horizon.

  • 13 weeks = one quarter. Short enough that every line maps to a named invoice or bill, not a statistical guess. Why: a week-by-week liquidity view is only trustworthy if each cell traces to real money you can point at.
  • Rolling, not static. Each week you drop the oldest week and add a new week 13. Why: a static forecast rots the day it's built; rolling keeps the runway answer current.
  • Direct method only. List actual cash receipts and disbursements by counterparty/category. Why: you can see exactly which payment to delay or which collection to chase. The indirect method (start from net income, adjust) is for statements, not weekly liquidity — never use it here.
  • Enter inflows when cash clears the bank, not when the invoice is sent. This single discipline is what makes the forecast trustworthy.
    • Bad: book a $12k invoice in the week you emailed it.
    • Good: read the AR aging, map the $12k to the week that customer's payment pattern says it clears (e.g. net-30 customer who always pays week 5).
  • AR collections are typically 60–85% of inflows. Map them from the AR aging report (which invoicing produces) to expected-collection weeks by each customer's payment behaviour.
  • ending_cash of week n is the starting_cash of week n+1. This rolling continuity is mandatory and verify.sh enforces it. A forecast where the balance doesn't carry forward is wrong, full stop.

Required columns (the minimal shape verify.sh checks):

csv
week_start,starting_cash,inflows,outflows,net,ending_cash
2026-06-01,42000,18500,23100,-4600,37400
2026-06-08,37400,9200,15800,-6600,30800

Per row: net = inflows - outflows and ending_cash = starting_cash + net. Break either invariant and the forecast lies.

Burn and runway are distinct — do not conflate them:

  • Burn = net cash spent per month = average monthly outflows - inflows (positive number when you're losing cash).
  • Runway = current cash balance ÷ net monthly burn = months of life left.
  • Compute both from actual cash transactions, never from net income. Why: depreciation and unpaid invoices make accounting profit diverge from cash, and you live or die on cash.
  • Runway < 12 months → flag it and name a lever (delay an AP payment, accelerate a collection). Don't just report the number.

Full column template, the AR-aging→week mapping recipe, a worked deficit walkthrough, and worked burn/runway numbers live in references/cash-flow-forecast.md.

Reconciliation

Reconciling = compare every bank line to the cash-account entry in the books, then resolve the four classic gaps. Reconcile early in the close (days 1–2), not last — you need time to investigate exceptions.

The four classic gaps to hunt for:

  1. Outstanding checks — written, not yet cleared the bank.
  2. Deposits in transit — received, not yet posted by the bank.
  3. Bank charges / fees — debited by the bank, not yet in your books.
  4. Interest earned — credited by the bank, not yet in your books.

Matching tiers — run them in order:

TierRuleCatches
1. Exactamount + date + reference all matchclean, identical transactions
2. Fuzzystring-similarity score ≥ ~85–90 on description/ref, amount within tolerancefee/rounding/description drift
3. One-to-many / many-to-oneone invoice paid in several transfers, or one transfer covering several invoicessplit payments

Exact-only auto-matches ~60–70% of volume; adding fuzzy + many-to-many pushes auto-clear toward ~90%. Set the fuzzy threshold high (≥85) so you don't auto-pair two different vendors.

Every bank line lands in exactly one bucket — no orphans:

  • matched — paired with a book entry (any tier).
  • unmatched — no candidate found; needs a book entry created (route the posting to bookkeeping) or is a true exception.
  • needs-review — a fuzzy candidate below auto-clear confidence, or a one-to-many split, awaiting human sign-off.

A line that is silently dropped is a hole in the books. verify.sh fails if any line is unclassified. Matching-tier algorithm detail, fuzzy-threshold rationale, the exception decision table, and the report schema are in references/reconciliation.md.

Expense categories

Mirror the tax return; do not invent categories ad hoc. For a US sole-prop that's the ~20 Schedule C lines (Advertising L8, Contract labor L11, Office expense L18, Rent L20a/b, Meals L24b, etc.). Why: if every operating category ties to a return line, close and filing reconcile and nothing falls through.

  • No junk-drawer "Other expenses" (Schedule C L27). Dumping spend there raises audit risk and destroys spend visibility.
    • Bad: $4,200 → Other expenses.
    • Good: $4,200 → Advertising (L8) $1,800 + Office (L18) $900 + Contract labor (L11) $1,500.
  • Don't invent a category that has no return line. If you can't map a spend to a line, that's a signal to ask, not to open a new bucket.
  • Confirm the current-year numbers — never carry last year's. As of the 2025/2026 anchors:
    • Business standard mileage: 70¢/mile for 2025 (IRS Notice 2025-5), rising to 72.5¢/mile for 2026. Re-confirm the year before applying.
    • Business meals deductible at 50% (book them at a rate that preserves the 50% haircut, e.g. category L24b).
    • 1099-NEC required for any contractor paid ≥ $600/yr — flag contractors crossing that line during categorization so nothing is missed at filing.

Month-close

Closing is a sequenced 5-day checklist, not an event. Target for a small business: books closed in ≤5 days.

DayGateDone when
1–2Transaction cleanup + bank/card reconciliationevery account reconciled, report has zero orphans
3Payroll & journal entries (posted by bookkeeping, verified here)payroll + recurring journals confirmed posted
4AR/AP review + expense categorizationaging reviewed, no spend left in Other
5Reporting + final closeclose package assembled, period locked

Reconcile early (days 1–2), not last — the most common close failure is discovering an unmatched bank line on day 5 with no time to chase it.

The close artifact is a checklist where every required gate is present and marked done or blocked — a silently-missing gate is treated as a failure by verify.sh. Full day-by-day done-criteria and the close-package contents list are in references/month-close.md.

Anti-patterns

Anti-patternWhy it's wrongDo instead
Indirect method for weekly liquidityNet-income-derived numbers can't tell you which payment to delayDirect method: actual receipts/disbursements by counterparty
Booking inflows on the invoice dateCash you haven't received can't pay bills; the forecast over-states liquidityBook to the expected-clear week from the AR aging
ending_cash that doesn't carry to next starting_cashThe runway number is then meaninglessEnforce ending_cash[n] == starting_cash[n+1] (verify.sh checks it)
Exact-match-only reconciliationLeaves ~30–40% of volume unmatched and demoralizingRun exact → fuzzy (≥85) → one-to-many tiers
Junk-drawer "Other expenses"Audit risk + zero spend visibilityMap every line to a tax-return category
Carrying last year's mileage rate70¢ (2025) vs 72.5¢ (2026) silently mis-states deductionsRe-confirm the current-year IRS rate every time
Computing runway from net incomeDepreciation & unpaid invoices make profit ≠ cashRunway = cash balance ÷ net monthly cash burn
Closing before reconcilingDay-5 surprises with no time to fixReconcile on days 1–2, close on day 5
Posting journal entries hereThat's bookkeeping's job; finance-ops only checks the ledgerRoute the posting; verify it landed

Hand-offs

You consume and check the ledger and AR; you do not own them. Route deliberately:

  • Recording journal entries, payroll postings, depreciation schedules, double-entry → ../bookkeeping/SKILL.md. finance-ops verifies those landed; it does not post them.
  • Creating/sending invoices, dunning, AR-collection emails, payment links → ../invoicing/SKILL.md. You read the AR aging it produces.
  • Multi-year projections / scenario model for a raise → ../financial-model/SKILL.md. The 13-week forecast is liquidity, not a fundraising model.
  • CAC / LTV / contribution margin → ../unit-economics/SKILL.md.
  • Per-unit COGS / infra / AI spend tracking → ../cost-tracking/SKILL.md.
  • Demand / revenue projection beyond 13 weeks → ../forecasting/SKILL.md.
  • Sheet mechanics, pivots, formula plumbing → ../spreadsheet-ops/SKILL.md.

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 Finance Ops AI skill do?

Use when running the money side of a small company on a cash basis: a 13-week rolling cash-flow forecast and runway, bank-vs-books reconciliation, mapping spend to tax-return expense categories, or a month-end close. NOT posting journal entries, payroll or depreciation (that is `bookkeeping`); NOT multi-year projections (that is `financial-model`).

Why use Finance Ops on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ericrisco/rsc-harness/tree/main/skills/finance-ops. 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 Finance Ops?

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 Ops?

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

Is the Finance Ops AI skill free?

Yes. It is published on GitHub by ericrisco 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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