Month End Close logo

Month End Close

Organization
openaccountant
month-end-close

Run a monthly bookkeeping close checklist with reconciliation.

Overview

Publisheropenaccountant
Repositoryskills
Skill namemonth-end-close
Stars
106
Forks
18
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

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

Installation

Install the Month End Close 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/openaccountant/skills/tree/main/business/month-end-close
  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/openaccountant/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/business/month-end-close .claude/skills/month-end-close
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Month End Close 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 Month End Close 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 Month End Close 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.

Month-End Close

Overview

A structured checklist for closing your books each month. Ensures all transactions are categorized, anomalies are reviewed, accounts reconcile, and reports are generated before moving on.

Wilson Tools Used

  • anomaly_detect — find uncategorized transactions, duplicate entries, and unusual amounts that need review
  • spending_summary — generate the monthly summary for reconciliation against bank statements
  • categorize — apply categories to any uncategorized transactions found during close
  • transaction_search — pull the full month of transactions for review

Workflow

  1. Ask which month is being closed (defaults to previous month).
  2. Run the close checklist in order:

Step 1: Pull all transactions Use transaction_search for the full month to get the complete transaction set.

Step 2: Find uncategorized transactions Use anomaly_detect to identify transactions without categories. Report the count and total dollar amount uncategorized.

Step 3: Categorize outstanding items Use categorize to assign categories to uncategorized transactions. Ask the user to confirm any ambiguous ones.

Step 4: Detect anomalies Use anomaly_detect to flag duplicates, unusually large transactions, and amounts that deviate significantly from patterns.

Step 5: Generate monthly summary Use spending_summary for the month. Compare totals against the bank statement ending balance.

Step 6: Reconciliation check Present the reconciliation:

MONTH-END CLOSE — [Month Year]
═══════════════════════════════════════
Checklist                        Status
───────────────────────────────────────
Transactions imported            ✓ 247 transactions
Uncategorized resolved           ✓ 0 remaining
Anomalies reviewed               ✓ 3 flagged, 3 resolved
Duplicates checked               ✓ None found

RECONCILIATION
Bank Statement Ending Balance    $XX,XXX
Wilson Calculated Balance        $XX,XXX
Difference                            $0
Status                           RECONCILED

MONTHLY SUMMARY
Total Income                     $XX,XXX
Total Expenses                  ($XX,XXX)
Net Income                        $X,XXX
═══════════════════════════════════════

Step 7: Archive Confirm the month is closed. Recommend exporting a PDF or CSV snapshot for records.

Without Wilson

  1. Download your bank statement PDF for the month (Chase: Statements & Documents; Amex: Statements; most banks: Settings > Documents > Statements).
  2. Export the month's transactions as CSV from your bank.
  3. Open the CSV in a spreadsheet. Check for blank categories — filter the Category column for blanks.
  4. Manually categorize each blank row.
  5. Check for duplicates: sort by Amount, then by Date, and look for identical rows.
  6. Sum all transactions: =SUM(Amount). Compare to the net change on your bank statement (ending balance minus starting balance).
  7. If there is a difference, sort by date and compare line-by-line against the bank statement PDF.
  8. Common discrepancies: pending transactions that posted the next month, bank fees not yet downloaded, or split transactions.
  9. Save the reconciled spreadsheet with the naming convention: YYYY-MM-close.xlsx (e.g., 2026-03-close.xlsx).

Important Notes

  • Close the books within the first 5 business days of the following month while transactions are fresh.
  • The reconciliation step is critical. If Wilson's total and your bank statement do not match, do not skip it. Track down every dollar of difference.
  • Keep a running list of recurring items that need manual attention each month (owner draws, transfers between accounts, reimbursements).
  • If you have multiple bank accounts or credit cards, close each one separately, then do a combined summary.

Frequently asked questions

What does the Month End Close AI skill do?

Run a monthly bookkeeping close checklist with reconciliation.

Why use Month End Close on TypingMind?

Because you install it once and use it with any model. Month End Close 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 Month End Close in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openaccountant/skills/tree/main/business/month-end-close. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Month End Close?

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 Month End Close?

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

Is the Month End Close AI skill free?

Yes. It is published on GitHub by openaccountant 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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