smart-categorize

v2026.09.24

Auto-categorize uncategorized transactions using vendor pattern matching.

GitHub
安装命令
npx skhub add openaccountant/smart-categorize
Markdown
SKILL.md

Smart Categorize

Overview

Automatically categorize uncategorized transactions by matching vendor/description patterns against known rules. Uses existing categorization rules first, then suggests new rules for unmatched transactions based on common vendor names.

Wilson Tools Used

  • categorize — apply pattern-based categorization rules to transactions
  • transaction_search — find uncategorized transactions

Workflow

  1. Use transaction_search to find all transactions where category is null or empty.
  2. Run categorize to apply existing categorization rules (pattern matching on description field).
  3. Report how many transactions were categorized by existing rules.
  4. For remaining uncategorized transactions, group by vendor/description similarity.
  5. Suggest category assignments for each vendor group (e.g., "SPOTIFY" -> Entertainment, "SHELL OIL" -> Transportation).
  6. Ask the user to confirm or adjust the suggested categories.
  7. Apply confirmed categories and optionally save new categorization rules for future imports.

Without Wilson

You can categorize transactions manually in a spreadsheet:

Setting Up Category Rules in Excel/Sheets

  1. Create a reference sheet called "Rules" with two columns: Pattern and Category.

  2. Add your vendor patterns:

    PatternCategory
    AMAZONShopping
    WHOLE FOODSGroceries
    SHELLTransportation
    NETFLIXEntertainment
    STARBUCKSDining
  3. In your transactions sheet, use a lookup formula in the Category column:

    • Excel: =IFERROR(INDEX(Rules!B:B,MATCH("*"&"AMAZON"&"*",Rules!A:A,0)),"Uncategorized") — but this only works for exact matches.
    • Better approach with Excel: Use a helper column with =SUMPRODUCT or VBA macro to do partial matching.
    • Google Sheets: =IFERROR(VLOOKUP("*"&A2&"*",Rules!A:B,2,FALSE),"Uncategorized") does not support wildcards in VLOOKUP.
    • Practical Google Sheets approach:
      =IF(REGEXMATCH(A2,"(?i)amazon"),"Shopping",
       IF(REGEXMATCH(A2,"(?i)whole foods|trader joe"),"Groceries",
       IF(REGEXMATCH(A2,"(?i)shell|chevron|exxon"),"Transportation",
       "Uncategorized")))
      

Common Category Mapping

Vendor PatternSuggested Category
AMAZON, TARGET, WALMARTShopping
WHOLE FOODS, TRADER JOE, KROGER, SAFEWAYGroceries
UBER EATS, DOORDASH, GRUBHUBDining
NETFLIX, SPOTIFY, HULU, DISNEY+Entertainment
SHELL, CHEVRON, BP, EXXONTransportation
AT&T, VERIZON, T-MOBILE, COMCASTUtilities
CVS, WALGREENS, PHARMACYHealthcare
VENMO, ZELLE, PAYPAL (person-to-person)Transfers

Important Notes

  • Pattern matching is case-insensitive and matches against any part of the transaction description.
  • Rules are applied in the order they were created. If a transaction matches multiple rules, the first match wins.
  • Categorization does not overwrite transactions that already have a category unless you explicitly ask.
  • Wilson stores rules in the categorization_rules table so they persist across sessions and apply to future imports automatically.
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最新版本元数据

版本

v2026.09.24

发布时间

2026年9月24日

分类

未分类

许可证

MIT

源路径

shared/smart-categorize

默认分支

main

最新提交

f5abe38

Tree SHA

a575692