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Monthly Digest

Organization
openaccountant
monthly-digest

Generate a monthly financial summary with metrics, trends, and anomalies.

Overview

Publisheropenaccountant
Repositoryskills
Skill namemonthly-digest
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 Monthly Digest 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/shared/monthly-digest
  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/shared/monthly-digest .claude/skills/monthly-digest
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Monthly Digest 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 Monthly Digest 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 Monthly Digest 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.

Monthly Digest

Overview

Produce a concise monthly financial digest covering income, expenses, savings rate, notable transactions, spending anomalies, and month-over-month trends. Designed to be a quick "state of your finances" snapshot.

Wilson Tools Used

  • spending_summary — category-level spending totals for the month
  • transaction_search — find largest transactions and income entries
  • anomaly_detect — flag unusual spending patterns or amounts

Workflow

  1. Determine the target month (default: previous calendar month).
  2. Use spending_summary to get category totals for the month.
  3. Use spending_summary for the prior month to calculate month-over-month changes.
  4. Use transaction_search to find:
    • Top 5 largest expenses
    • All income transactions
    • Any new vendors (first-time transactions)
  5. Use anomaly_detect to flag:
    • Unusual amounts (significantly above category average)
    • New recurring charges
    • Missing expected recurring charges
  6. Compile the digest using the template below.
  7. Display the digest and optionally export as Markdown.

Digest Template

# Monthly Digest — [Month Year]

## Key Numbers
| Metric | Amount | vs. Last Month |
|--------|--------|----------------|
| Total Income | $X,XXX | +/-XX% |
| Total Expenses | $X,XXX | +/-XX% |
| Net (Income - Expenses) | $X,XXX | — |
| Savings Rate | XX% | +/-X pts |

## Spending by Category
| Category | Amount | % of Total | vs. Last Month |
|----------|--------|------------|----------------|
| ... | ... | ... | ... |

## Top 5 Expenses
1. [Description] — $XXX on [Date]
2. ...

## Anomalies & Alerts
- [flag icon] [Description of anomaly]

## New This Month
- First time seeing: [vendor name]

Without Wilson

To create a monthly digest manually:

  1. Export the month's transactions from your bank as CSV.
  2. Open in Google Sheets and add a Category column if missing.
  3. Key numbers:
    Total Income:   =SUMIFS(Amount, Amount, ">0", Date, ">="&DATE(2025,3,1), Date, "<="&DATE(2025,3,31))
    Total Expenses: =ABS(SUMIFS(Amount, Amount, "<0", Date, ">="&DATE(2025,3,1), Date, "<="&DATE(2025,3,31)))
    Savings Rate:   =(Income - Expenses) / Income * 100
  4. Category breakdown: Create a pivot table grouped by Category, summing Amount.
  5. Top expenses: Sort by Amount ascending, take the first 5 rows.
  6. Month-over-month: Keep last month's totals in a separate tab and calculate =(ThisMonth - LastMonth) / LastMonth * 100 for each category.
  7. Anomaly detection (manual): Calculate the average and standard deviation per category over the last 6 months. Flag any category where this month's spending exceeds the average + 2 standard deviations.

Important Notes

  • The digest defaults to the previous calendar month. Ask for a specific month if needed.
  • Savings rate is calculated as (income - expenses) / income. If income is zero, savings rate is shown as N/A.
  • Anomaly detection uses a rolling 6-month window. New users with less history will see fewer anomaly flags.
  • The digest does not include transfers between your own accounts (e.g., savings transfers) in the income/expense totals.

Frequently asked questions

What does the Monthly Digest AI skill do?

Generate a monthly financial summary with metrics, trends, and anomalies.

Why use Monthly Digest on TypingMind?

Because you install it once and use it with any model. Monthly Digest 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 Monthly Digest in TypingMind?

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

Which AI models can use Monthly Digest?

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 Monthly Digest?

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

Is the Monthly Digest 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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