# finance-manager

Turns bank statements in PDF or CSV into a savings rate, category breakdown and an HTML report with charts. Useful when you want to see where the money goes.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 2500 installs · ★ 458
- Author: ailabs-393
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/ailabs-393/ai-labs-claude-skills/tree/HEAD/dist/skills/finance-manager/SKILL.md
- Updated: 2025-11-11
- HTML: https://affpapa.org/en/nevibecode/skills/finance-manager

## What it does

The skill covers the whole path from raw transactions to a report. `scripts/extract_pdf_data.py` pulls operations out of a bank statement into CSV, then `scripts/analyze_finances.py` totals income, expenses, net savings, savings rate, daily average spending and the five largest payments. Finally `scripts/generate_report.py` builds an interactive HTML page with a doughnut chart by category and a bar chart comparing income against expenses.

Your data needs columns `Date`, `Description`, `Income`, `Type`, `Amount`. Dates go as YYYY-MM-DD or another parseable string, amounts are signed: positive for income, negative for expenses. Keep category names identical across rows, otherwise the breakdown drifts. PDF extraction needs `pdfplumber`, analysis needs `pandas`, both installed with `pip`. Charts load from a CDN, so the report will not render offline.

Recommendations follow fixed thresholds: a savings rate under 10% is a signal to trim discretionary spending, 20–30% counts as strong. Category guidelines are baked in too: housing 25–30% of income, transport 10–15%, food 10–15%. You can edit the thresholds inside `generate_budget_recommendations()` and add your own categories in `analyze_finances.py`.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add ailabs-393/ai-labs-claude-skills --skill finance-manager -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/finance-manager/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/finance-manager/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add ailabs-393/ai-labs-claude-skills --skill finance-manager -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/finance-manager/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add ailabs-393/ai-labs-claude-skills --skill finance-manager -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/finance-manager/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install ailabs-393/ai-labs-claude-skills finance-manager
```

2. **Manually: put the files in place**
- File: `.github/skills/finance-manager/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add ailabs-393/ai-labs-claude-skills --skill finance-manager -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/ailabs-393/ai-labs-claude-skills --path dist/skills/finance-manager
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/finance-manager/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add ailabs-393/ai-labs-claude-skills --skill finance-manager -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/ailabs-393/ai-labs-claude-skills/tree/HEAD/dist/skills/finance-manager/SKILL.md

## When to use it
- pull transactions out of a bank statement PDF into a table
- work out your savings rate for the month
- break expenses down by category and see the shares
- compare this month's spending with last month's
- build an HTML report with charts you can open in a browser

## Example prompts
- analyze my October spending and create a report
- extract all transactions from my bank statement PDF
- where am I spending too much money?

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 0965b8f23a7148db.

BEGIN THIRD-PARTY FILE 0965b8f23a7148db
````text
---
name: finance-manager
description: Comprehensive personal finance management system for analyzing transaction data, generating insights, creating visualizations, and providing actionable financial recommendations. Use when users need to analyze spending patterns, track budgets, visualize financial data, extract transactions from PDFs, calculate savings rates, identify spending trends, generate financial reports, or receive personalized budget recommendations. Triggers include requests like "analyze my finances", "track my spending", "create a financial report", "extract transactions from PDF", "visualize my budget", "where is my money going", "financial insights", "spending breakdown", or any finance-related analysis tasks.
---

# Finance Manager

A comprehensive toolkit for personal finance management that processes transaction data, performs sophisticated financial analysis, generates actionable insights, and creates beautiful visual reports.

## Core Capabilities

1. **Transaction Data Processing**: Extract financial data from PDFs, CSVs, or JSON files
2. **Financial Analysis**: Calculate key metrics, identify spending patterns, and track savings
3. **Visualization**: Generate interactive HTML reports with charts and graphs
4. **Budget Recommendations**: Provide personalized, actionable advice based on spending patterns
5. **Trend Analysis**: Identify spending patterns, anomalies, and opportunities for optimization

## Workflow

### 1. Data Extraction and Preparation

**For PDF files:**
```bash
python scripts/extract_pdf_data.py <input.pdf> <output.csv>
```

**For CSV/JSON files:**
- Ensure data has columns: `Date`, `Description`, `Income` (category), `Type`, `Amount`
- Date format: YYYY-MM-DD or parseable date string
- Amount: Positive for income, negative for expenses

### 2. Financial Analysis

Run comprehensive analysis on transaction data:
```bash
python scripts/analyze_finances.py <transactions.csv> > analysis_output.json
```

**Output includes:**
- Summary statistics (total income, expenses, net savings, savings rate)
- Spending trends (daily averages, top expenses, category percentages)
- Budget recommendations (personalized based on spending patterns)
- Visualization data (prepared for charting)

### 3. Report Generation

Create interactive HTML report with visualizations:
```bash
python scripts/generate_report.py <analysis_output.json> <report.html>
```

**Report features:**
````
END THIRD-PARTY FILE 0965b8f23a7148db

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First 2434 of 7596 bytes. © ailabs-393 · MIT · https://github.com/ailabs-393/ai-labs-claude-skills/tree/HEAD/dist/skills/finance-manager/SKILL.md

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---
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