Journal Entry logo

Journal Entry

OrganizationPopular
anthropics
journal-entry

Prepare journal entries with proper debits, credits, and supporting detail. Use when booking month-end accruals (AP, payroll, prepaid), recording depreciation or amortization, posting revenue recognition or deferred revenue adjustments, or documenting an entry for audit review.

Overview

Publisheranthropics
Repositoryknowledge-work-plugins
Skill namejournal-entry
Stars
24.9K
Forks
3K
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

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

Installation

Install the Journal Entry 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.
  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/anthropics/knowledge-work-plugins.git /tmp/knowledge-work-plugins
mkdir -p .claude/skills
cp -r /tmp/knowledge-work-plugins/finance/skills/journal-entry .claude/skills/journal-entry
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Journal Entry 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 Journal Entry 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 Journal Entry 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.

Journal Entry Preparation

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Important: This command assists with journal entry workflows but does not provide financial advice. All entries should be reviewed by qualified financial professionals before posting.

Prepare journal entries with proper debits, credits, supporting detail, and review documentation.

Usage

/je <type> <period>

Arguments

  • type — The journal entry type. One of:
    • ap-accrual — Accounts payable accruals for goods/services received but not yet invoiced
    • fixed-assets — Depreciation and amortization entries for fixed assets and intangibles
    • prepaid — Amortization of prepaid expenses (insurance, software, rent, etc.)
    • payroll — Payroll accruals including salaries, benefits, taxes, and bonus accruals
    • revenue — Revenue recognition entries including deferred revenue adjustments
  • period — The accounting period (e.g., 2024-12, 2024-Q4, 2024)

Workflow

1. Gather Source Data

If ~~erp or ~~data warehouse is connected:

  • Pull the trial balance for the specified period
  • Pull subledger detail for the relevant accounts
  • Pull prior period entries of the same type for reference
  • Identify the current GL balances for affected accounts

If no data source is connected:

Connect ~~erp or ~~data warehouse to pull GL data automatically. You can also paste trial balance data or upload a spreadsheet.

Prompt the user to provide:

  • Trial balance or GL balances for affected accounts
  • Subledger detail or supporting schedules
  • Prior period entries for reference (optional)

2. Calculate the Entry

Based on the JE type:

AP Accrual:

  • Identify goods/services received but not invoiced by period end
  • Calculate accrual amounts from PO receipts, contracts, or estimates
  • Debit: Expense accounts (or asset accounts for capitalizable items)
  • Credit: Accrued liabilities

Fixed Assets:

  • Pull the fixed asset register or depreciation schedule
  • Calculate period depreciation by asset class and method (straight-line, declining balance, units of production)
  • Debit: Depreciation expense (by department/cost center)
  • Credit: Accumulated depreciation

Prepaid:

  • Pull the prepaid amortization schedule
  • Calculate the period amortization for each prepaid item
  • Debit: Expense accounts (by type — insurance, software, rent, etc.)
  • Credit: Prepaid expense accounts

Payroll:

  • Calculate accrued salaries for days worked but not yet paid
  • Calculate accrued benefits (health, retirement contributions, PTO)
  • Calculate employer payroll tax accruals
  • Calculate bonus accruals (if applicable, based on plan terms)
  • Debit: Salary expense, benefits expense, payroll tax expense
  • Credit: Accrued payroll, accrued benefits, accrued payroll taxes

Revenue:

  • Review contracts and performance obligations
  • Calculate revenue to recognize based on delivery/performance
  • Adjust deferred revenue balances
  • Debit: Deferred revenue (or accounts receivable)
  • Credit: Revenue accounts (by stream/category)

3. Generate the Journal Entry

Present the entry in standard format:

Journal Entry: [Type] — [Period]
Prepared by: [User]
Date: [Period end date]

| Line | Account Code | Account Name | Debit | Credit | Department | Memo |
|------|-------------|--------------|-------|--------|------------|------|
| 1    | XXXX        | [Name]       | X,XXX |        | [Dept]     | [Detail] |
| 2    | XXXX        | [Name]       |       | X,XXX  | [Dept]     | [Detail] |
|      |             | **Total**    | X,XXX | X,XXX  |            |      |

Supporting Detail:
- [Calculation basis and assumptions]
- [Reference to supporting schedule or documentation]

Reversal: [Yes/No — if yes, specify reversal date]

4. Review Checklist

Before finalizing, verify:

  • Debits equal credits
  • Correct accounting period
  • Account codes are valid and map to the right GL accounts
  • Amounts are calculated correctly with supporting detail
  • Memo/description is clear and specific enough for audit
  • Department/cost center coding is correct
  • Entry is consistent with prior period treatment
  • Reversal flag is set appropriately (accruals should auto-reverse)
  • Supporting documentation is referenced or attached
  • Entry is within the user's approval authority
  • No unusual or out-of-pattern amounts that need investigation

5. Output

Provide:

  1. The formatted journal entry
  2. Supporting calculations
  3. Comparison to prior period entry of the same type (if available)
  4. Any items flagged for review or follow-up
  5. Instructions for posting (manual entry or upload format for the user's ERP)

Frequently asked questions

What does the Journal Entry AI skill do?

Prepare journal entries with proper debits, credits, and supporting detail. Use when booking month-end accruals (AP, payroll, prepaid), recording depreciation or amortization, posting revenue recognition or deferred revenue adjustments, or documenting an entry for audit review.

Why use Journal Entry on TypingMind?

Because you install it once and use it with any model. Journal Entry 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 Journal Entry in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/knowledge-work-plugins/tree/main/finance/skills/journal-entry. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Journal Entry?

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 Journal Entry?

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

Is the Journal Entry AI skill free?

Yes. It is published on GitHub by anthropics 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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