financial-document-parser

Financial Document Parser

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Install skill "financial-document-parser" with this command: npx skills add microck/ordinary-claude-skills/microck-ordinary-claude-skills-financial-document-parser

Financial Document Parser

Extract structured data from financial documents with automatic categorization and analysis.

When to Use This Skill

Activate when the user:

  • Provides invoices, receipts, or bank statements

  • Asks to "parse this invoice" or "extract data from this receipt"

  • Needs expense categorization

  • Wants to track spending patterns

  • Asks to generate expense reports

  • Mentions financial document analysis

  • Provides PDF or image of financial documents

Instructions

Identify Document Type

  • Invoice (business to business)

  • Receipt (point of sale)

  • Bank statement

  • Credit card statement

  • Expense report

  • Tax document

Extract Core Information

For Invoices:

  • Invoice number

  • Invoice date and due date

  • Vendor/supplier name and contact

  • Client/recipient name

  • Line items (description, quantity, unit price, total)

  • Subtotal, tax, and grand total

  • Payment terms

  • Payment methods accepted

For Receipts:

  • Merchant name and location

  • Date and time

  • Items purchased

  • Individual prices

  • Subtotal, tax, total

  • Payment method

  • Last 4 digits of card (if present)

For Bank/Credit Card Statements:

  • Statement period

  • Account number (last 4 digits)

  • All transactions (date, description, amount, balance)

  • Beginning and ending balance

  • Total credits and debits

  • Fees or interest charges

Categorize Expenses

  • Business expenses: Office supplies, software, equipment

  • Travel: Transportation, lodging, meals

  • Utilities: Internet, phone, electricity

  • Professional services: Legal, accounting, consulting

  • Marketing: Advertising, subscriptions

  • Entertainment: Client meals, events

  • Other: Miscellaneous

Identify Patterns

  • Recurring charges (subscriptions)

  • Duplicate charges

  • Unusual or high-value transactions

  • Tax-deductible expenses

  • Foreign currency transactions

Generate Structured Output

  • Create CSV-ready format

  • Summarize totals by category

  • Flag items needing attention

  • Calculate tax implications (if relevant)

Output Format

Financial Document Analysis

Document Details

  • Type: Invoice / Receipt / Statement
  • Date: [Date]
  • Vendor/Merchant: [Name]
  • Document Number: [Number]
  • Total Amount: $X,XXX.XX

Line Items

DescriptionQuantityUnit PriceTotal
[Item]X$XX.XX$XX.XX

Financial Summary

  • Subtotal: $X,XXX.XX
  • Tax: $XXX.XX
  • Total: $X,XXX.XX
  • Payment Method: [Method]

Expense Categorization

CategoryAmountItems
Software$XXXSlack, GitHub
Office$XXSupplies

Insights

  • ✓ Tax-deductible business expenses: $X,XXX
  • ⚠ Recurring charges detected: 3 subscriptions ($XXX/month)
  • ℹ Foreign transaction fees: $XX

Flagged Items

  • Large expense ($X,XXX) - verify approval
  • Duplicate charge detected on [date]

Export Data (CSV Format)

Date,Vendor,Description,Category,Amount,Tax Deductible
2025-01-15,Adobe,Creative Cloud,Software,52.99,Yes

Recommendations

- Track recurring $XXX/month for [subscription]

- Consider negotiating bulk discount with [vendor]

- Set up payment reminder for [invoice due date]

## Examples

**User**: "Extract data from this invoice PDF"
**Response**: Parse PDF → Extract vendor info, line items, totals → Categorize as business expense → Format as structured data → Generate CSV export

**User**: "Analyze my bank statement and categorize expenses"
**Response**: Extract all transactions → Categorize each (dining, software, travel) → Identify recurring charges → Calculate totals by category → Flag unusual transactions → Generate spending report

**User**: "Parse these 10 receipts and create an expense report"
**Response**: Process each receipt → Extract merchant, date, amount, items → Categorize expenses → Calculate totals → Generate consolidated report → Create CSV for expense submission

## Best Practices

- Preserve exact amounts (don't round)
- Maintain currency symbols and formats
- Note when data is unclear or illegible
- Flag suspicious or duplicate transactions
- Provide tax-relevant categorization
- Use standard expense categories
- Generate export-ready formats (CSV, JSON)
- Protect sensitive info (mask account numbers)
- Identify missing information (no date, unclear vendor)
- Calculate totals and verify against document
- Note discrepancies or calculation errors
- Include exchange rates for foreign currency

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