> Categorize invoices and receipts by vendor, expense, and tax bucket, detect duplicates, and produce a tax-ready monthly summary. Use during bookkeeping, tax prep, or expense reimbursement.
npx skills add https://github.com/borghei/Claude-Skills --skill invoice-organizer
Bulk-categorize a CSV of invoices or receipts, detect duplicates, and produce a tax-ready monthly summary.
invoice, invoices, receipt, receipts, expense, expenses, bookkeeping, accounting, tax, tax prep, categorization, vendor, reimbursement, monthly summary
Before categorizing, confirm these inputs. If any is unknown or vague, ASK — do not assume:
category_rules.json and cut the uncategorized bucketStop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
date,vendor,description,amount,currency python scripts/invoice_categorizer.py receipts.csv
Goal: Convert a month of unstructured receipts into a categorized, tax-ready summary in under 10 minutes.
Steps:
python scripts/invoice_categorizer.py receipts.csvassets/category_rules.json for any recurring vendorsassets/monthly_summary_template.mdExpected Output: Categorized expense list + monthly totals by category + duplicate-suspect list.
Time Estimate: 10 minutes/month after initial rules are seeded.
Goal: Catch double-entered receipts before they reach the books.
Steps:
python scripts/invoice_categorizer.py receipts.csv --jsonduplicates_suspected listExpected Output: Cleaned CSV with no duplicate rows.
Time Estimate: 2-3 minutes per month.
Goal: Find spend creep — vendors whose monthly total grew significantly without you noticing.
Steps:
Expected Output: Vendor-spend trend list with flagged growth.
Time Estimate: 15 minutes per quarter.
Reads a CSV of receipts/invoices and:
assets/category_rules.json (extensible)# Human-readable summary
python scripts/invoice_categorizer.py receipts.csv
# JSON for programmatic use
python scripts/invoice_categorizer.py receipts.csv --json
# Use a custom rules file
python scripts/invoice_categorizer.py receipts.csv --rules my-rules.json
Expected CSV columns: date, vendor, description, amount (currency optional)
Date formats accepted: YYYY-MM-DD, MM/DD/YYYY, DD/MM/YYYY
references/expense_categorization_guide.md — Standard expense categories, common tax buckets (US Schedule C, UK self-employment, generic), how to map vendors to categoriesassets/category_rules.json — Default rules; extend with your recurring vendorsassets/monthly_summary_template.md — Format for handing the monthly summary to an accountantfinance/ skills for budgeting and forecastingc-level-advisor/cs-cfo-advisor cash-flow workflowsAutomatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of automated organization.
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. Use this when the user requests earnings calendar data, wants to know which companies are reporting earnings in the upcoming week, or needs a weekly earnings review. The skill focuses on mid-cap and above companies (over $2B market cap) that have significant market impact, organizing the data by date and timing in a clean markdown table format. Supports multiple environments (CLI, Desktop, Web) with flexible API key management.
Crypto wallet operations via the awal CLI — sign in, check balances, send USDC/ETH/POL/SOL, trade tokens, fund the wallet, and use the x402 payment protocol to discover paid services, pay for API calls, monetize an API, or query onchain data. Use whenever the user mentions signing in, login, authentication, wallet status, balance, address, sending money, paying someone, transferring tokens, ENS names, swapping/trading/converting tokens, funding/topping up/onramp, USDC, ETH, POL, SOL, the x402 bazaar, paid APIs, monetizing an endpoint, or querying onchain data on Base.
Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market news/sentiment, insider transactions, GDP, CPI, treasury yields, gold/silver/oil prices, Bitcoin/crypto prices, forex exchange rates, or calculating technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands). Requires a free API key from alphavantage.co.
Braintree Automation: manage payment processing via Stripe-compatible tools for customers, subscriptions, payment methods, and transactions
Take borghei/invoice-organizer from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.