dkyazzentwatwa

expense-report-generator

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0
# Install this skill:
npx skills add dkyazzentwatwa/chatgpt-skills --skill "expense-report-generator"

Install specific skill from multi-skill repository

# Description

Generate formatted expense reports from receipt data or CSV. Create professional PDF reports with categorization, totals, and approval workflows.

# SKILL.md


name: expense-report-generator
description: Generate formatted expense reports from receipt data or CSV. Create professional PDF reports with categorization, totals, and approval workflows.


Expense Report Generator

Create professional expense reports from receipt data with automatic categorization and totals.

Features

  • Multiple Input Formats: CSV, JSON, or manual entry
  • Auto-Categorization: Classify expenses by type
  • Receipt Tracking: Link receipts to expenses
  • Approval Workflow: Status tracking and approver info
  • Policy Compliance: Flag out-of-policy expenses
  • PDF Export: Professional formatted reports
  • Reimbursement Calculation: Track paid/unpaid amounts

Quick Start

from expense_report import ExpenseReportGenerator

report = ExpenseReportGenerator()

# Set report info
report.set_employee("John Doe", "EMP001", "Engineering")
report.set_period("2024-01-01", "2024-01-31")

# Add expenses
report.add_expense(
    date="2024-01-15",
    description="Client dinner",
    category="Meals",
    amount=125.50,
    receipt="receipt_001.jpg"
)

report.add_expense(
    date="2024-01-18",
    description="Uber to airport",
    category="Transportation",
    amount=45.00
)

# Generate report
report.generate_pdf("expense_report.pdf")

CLI Usage

# From CSV
python expense_report.py --input expenses.csv --employee "John Doe" --output report.pdf

# With date range
python expense_report.py --input data.csv --start 2024-01-01 --end 2024-01-31 -o report.pdf

# Set department and approver
python expense_report.py --input data.csv --employee "Jane Smith" --dept Sales \
    --approver "Bob Manager" -o report.pdf

# With policy limits
python expense_report.py --input data.csv --policy policy.json -o report.pdf

Input Format

CSV Format

date,description,category,amount,receipt,notes
2024-01-15,Client dinner at Restaurant,Meals,125.50,receipt_001.jpg,Met with ABC Corp
2024-01-16,Uber to client site,Transportation,32.00,,
2024-01-17,Office supplies,Supplies,45.99,receipt_002.jpg,
2024-01-18,Flight to NYC,Travel,450.00,flight_confirm.pdf,Project kickoff

JSON Format

{
  "employee": "John Doe",
  "employee_id": "EMP001",
  "department": "Engineering",
  "period": {"start": "2024-01-01", "end": "2024-01-31"},
  "expenses": [
    {
      "date": "2024-01-15",
      "description": "Client dinner",
      "category": "Meals",
      "amount": 125.50,
      "receipt": "receipt_001.jpg"
    }
  ]
}

Policy Configuration

{
  "limits": {
    "Meals": 75,
    "Transportation": 100,
    "Lodging": 250,
    "Supplies": 200
  },
  "requires_receipt": 25,
  "requires_approval": 500,
  "prohibited": ["Alcohol", "Personal items"]
}

API Reference

ExpenseReportGenerator Class

class ExpenseReportGenerator:
    def __init__(self)

    # Report Setup
    def set_employee(self, name: str, employee_id: str = None,
                    department: str = None) -> 'ExpenseReportGenerator'
    def set_period(self, start: str, end: str) -> 'ExpenseReportGenerator'
    def set_approver(self, name: str, title: str = None) -> 'ExpenseReportGenerator'
    def set_project(self, project_name: str, project_code: str = None) -> 'ExpenseReportGenerator'

    # Adding Expenses
    def add_expense(self, date: str, description: str, category: str,
                   amount: float, receipt: str = None, notes: str = None,
                   reimbursable: bool = True) -> 'ExpenseReportGenerator'
    def load_csv(self, filepath: str) -> 'ExpenseReportGenerator'
    def load_json(self, filepath: str) -> 'ExpenseReportGenerator'

    # Policy
    def set_policy(self, policy: Dict) -> 'ExpenseReportGenerator'
    def check_compliance(self) -> List[Dict]

    # Analysis
    def get_summary(self) -> Dict
    def by_category(self) -> Dict[str, float]
    def by_date(self) -> Dict[str, float]
    def get_total(self) -> float

    # Export
    def generate_pdf(self, output: str) -> str
    def generate_html(self, output: str) -> str
    def to_csv(self, output: str) -> str
    def to_json(self, output: str) -> str

Expense Categories

Standard categories:
- Meals: Business meals and entertainment
- Transportation: Taxi, rideshare, rental car, parking
- Travel: Flights, trains, hotels
- Lodging: Hotel, accommodation
- Supplies: Office supplies, equipment
- Communication: Phone, internet
- Professional: Conferences, training, memberships
- Other: Miscellaneous expenses

Report Summary

summary = report.get_summary()
# Returns:
# {
#     "employee": "John Doe",
#     "period": {"start": "2024-01-01", "end": "2024-01-31"},
#     "total_expenses": 1250.50,
#     "expense_count": 15,
#     "categories": {
#         "Meals": 325.00,
#         "Transportation": 180.50,
#         "Travel": 650.00,
#         "Supplies": 95.00
#     },
#     "reimbursable": 1150.50,
#     "non_reimbursable": 100.00,
#     "receipts_attached": 12,
#     "receipts_missing": 3
# }

Policy Compliance

# Set spending limits
report.set_policy({
    "limits": {
        "Meals": 75,      # Per transaction limit
        "Daily_meals": 100  # Daily limit
    },
    "requires_receipt": 25,  # Receipts required above this
    "requires_approval": 500  # Manager approval above this
})

# Check compliance
violations = report.check_compliance()
# Returns:
# [
#     {"expense_id": 3, "type": "over_limit", "category": "Meals",
#      "amount": 125.50, "limit": 75},
#     {"expense_id": 7, "type": "missing_receipt", "amount": 45.00}
# ]

Generated Report Contents

The PDF report includes:

  1. Header
  2. Company logo (optional)
  3. Report title and date range
  4. Employee information

  5. Summary Section

  6. Total amount
  7. Category breakdown
  8. Reimbursement status

  9. Expense Details Table

  10. Date, description, category
  11. Amount, receipt status
  12. Notes

  13. Category Charts

  14. Pie chart of spending by category
  15. Daily spending bar chart

  16. Compliance Notes

  17. Policy violations (if any)
  18. Missing receipts

  19. Approval Section

  20. Employee signature line
  21. Approver signature line
  22. Date fields

Example Workflows

Monthly Employee Report

report = ExpenseReportGenerator()
report.set_employee("Sarah Johnson", "EMP042", "Marketing")
report.set_period("2024-02-01", "2024-02-29")
report.set_approver("Mike Director", "VP Marketing")

# Load from tracking spreadsheet
report.load_csv("february_expenses.csv")

# Check policy
violations = report.check_compliance()
if violations:
    print(f"Warning: {len(violations)} policy violations")

# Generate report
report.generate_pdf("sarah_feb_expenses.pdf")
print(f"Total: ${report.get_total():,.2f}")

Project Expense Tracking

report = ExpenseReportGenerator()
report.set_employee("Project Team")
report.set_project("Website Redesign", "PRJ-2024-001")
report.set_period("2024-01-01", "2024-03-31")

# Add project expenses
report.add_expense("2024-01-15", "Design software license", "Software", 299.00)
report.add_expense("2024-02-01", "User testing incentives", "Research", 500.00)
report.add_expense("2024-02-20", "Stock photos", "Creative", 150.00)

summary = report.by_category()
print("Project Expenses by Category:")
for cat, amount in summary.items():
    print(f"  {cat}: ${amount:,.2f}")

Dependencies

  • pandas>=2.0.0
  • reportlab>=4.0.0
  • matplotlib>=3.7.0

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.