본문으로 건너뛰기
cccskills
무료GitHub에 공개

invoice-organizer

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(5)

  • SKILL.md5.8 KB
  • assets/category_rules.json3.0 KB
  • assets/monthly_summary_template.md2.3 KB
  • references/expense_categorization_guide.md4.9 KB
  • scripts/invoice_categorizer.py7.0 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Invoice Organizer

Bulk-categorize a CSV of invoices or receipts, detect duplicates, and produce a tax-ready monthly summary.


Table of Contents


Keywords

invoice, invoices, receipt, receipts, expense, expenses, bookkeeping, accounting, tax, tax prep, categorization, vendor, reimbursement, monthly summary


Clarify First

Before categorizing, confirm these inputs. If any is unknown or vague, ASK — do not assume:

  • Receipt CSV fields — date, vendor, description, amount drive categorization and duplicate detection
  • Tax bucket scheme — US Schedule C vs UK self-employment vs generic sets which categories the summary maps to
  • Recurring-vendor rules — known vendor→category mappings to seed category_rules.json and cut the uncategorized bucket

Stop 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.


Quick Start

Categorize 200 Receipts in 1 Minute

  1. Export receipts from your bank or expense tool as a CSV with columns: date,vendor,description,amount,currency
  2. Run:
    python scripts/invoice_categorizer.py receipts.csv
    
  3. Review the categorized output and override anything wrong via the rules file
  4. Export the monthly summary for handoff to your accountant

Core Workflows

Workflow 1: Monthly Bookkeeping

Goal: Convert a month of unstructured receipts into a categorized, tax-ready summary in under 10 minutes.

Steps:

  1. Export receipts as CSV from your bank, card, or expense tool
  2. Run: python scripts/invoice_categorizer.py receipts.csv
  3. Review the uncategorized bucket — these need rules added or manual override
  4. Add rules to assets/category_rules.json for any recurring vendors
  5. Re-run; uncategorized count should drop each month as the rules file grows
  6. Drop the monthly summary into assets/monthly_summary_template.md

Expected Output: Categorized expense list + monthly totals by category + duplicate-suspect list.

Time Estimate: 10 minutes/month after initial rules are seeded.

Workflow 2: Duplicate Detection

Goal: Catch double-entered receipts before they reach the books.

Steps:

  1. Run: python scripts/invoice_categorizer.py receipts.csv --json
  2. Inspect the duplicates_suspected list
  3. Confirm whether each is a true duplicate (same charge entered twice) or a coincidence (same amount on different days at different vendors)
  4. Remove confirmed duplicates from the source CSV; re-run

Expected Output: Cleaned CSV with no duplicate rows.

Time Estimate: 2-3 minutes per month.

Workflow 3: Vendor Spend Review

Goal: Find spend creep — vendors whose monthly total grew significantly without you noticing.

Steps:

  1. Run categorizer for the last 3-6 months separately
  2. Compare per-vendor totals month-over-month
  3. Flag any vendor where total grew > 25% with no obvious business reason
  4. Either renegotiate, switch, or accept; revisit quarterly

Expected Output: Vendor-spend trend list with flagged growth.

Time Estimate: 15 minutes per quarter.


Tools

invoice_categorizer.py

Reads a CSV of receipts/invoices and:

  • Categorizes each row by vendor + description against rules in assets/category_rules.json (extensible)
  • Aggregates totals per category and per vendor
  • Detects likely duplicates (same vendor + amount within 3 days)
  • Flags uncategorized items for manual review
# 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


Reference Guides

  • references/expense_categorization_guide.md — Standard expense categories, common tax buckets (US Schedule C, UK self-employment, generic), how to map vendors to categories

Templates

  • assets/category_rules.json — Default rules; extend with your recurring vendors
  • assets/monthly_summary_template.md — Format for handing the monthly summary to an accountant

Best Practices

  • Categorize monthly, not annually. Annual catch-up bookkeeping always misses receipts and produces guess-categorization.
  • Grow the rules file over time. First month: 30% uncategorized. Sixth month: < 5%. The compounding return on rule-writing is high.
  • Keep evidence. Categorization is bookkeeping; receipts (PDFs, photos) are tax evidence. Store separately from this script's output.
  • Don't trust auto-categorization for tax filing. Use it for prep; have a human (you or your accountant) sign off before filing.
  • Currency consistency. If you have multi-currency receipts, convert at month-end FX rate before this script; it does not handle FX.

Integration Points

  • Pairs with finance/ skills for budgeting and forecasting
  • Feeds into c-level-advisor/cs-cfo-advisor cash-flow workflows
  • Used by solo-founder persona for monthly close

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

borghei/Claude-Skills9652026년 10월 7일 업데이트

Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

borghei/Claude-Skills9652026년 10월 7일 업데이트

Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

borghei/Claude-Skills9652026년 10월 7일 업데이트

Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

borghei/Claude-Skills9652026년 10월 7일 업데이트

Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

borghei/Claude-Skills9652026년 10월 7일 업데이트

aeo

무료

Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

borghei/Claude-Skills9652026년 10월 7일 업데이트

borghei의 스킬 모두 보기

이 스킬의 문제 신고