lovstudio-expense-report

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Extract invoice data from images or text descriptions and generate a categorized Excel expense report. Supports receipt photos, scanned invoices, and manual text input. Auto-classifies into: business entertainment (客户餐费), travel-transport (机票/火车票/打车), travel-accommodation (酒店), travel-meals, office supplies, communication, and other. Use when the user mentions "发票报销", "expense report", "报销单", "发票整理", "invoice", "报销汇总", "发票分类", "reimbursement", or has invoice images to process.

4installs

Sourcelovstudio/skills

Added on2026-04-30

NPX Install

npx skill4agent add lovstudio/skills lovstudio-expense-report

SKILL.md Content

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expense-report — Invoice → Categorized Excel

Extract invoice information from images or text, classify expenses, and generate a professional Excel report with subtotals per category.

When to Use

User has invoice photos / scanned receipts to process
User describes expenses in text and wants them organized
User needs a categorized reimbursement report (报销单)
User mentions 发票报销, 报销汇总, 发票整理, expense report

Expense Categories

Category	Keywords / Examples
业务招待	客户餐费, 商务宴请, 礼品, 招待
差旅-交通	机票, 火车票, 高铁, 出租车, 打车, 网约车, 加油, 过路费, 停车费
差旅-住宿	酒店, 住宿, 宾馆
差旅-餐饮	出差期间餐费, 工作餐
办公用品	文具, 打印, 办公耗材, 办公设备
通讯费	话费, 流量, 网费, 宽带
其他	不属于以上类别的费用

Workflow (MANDATORY)

Step 1: Collect Invoice Data

Accept input in any of these forms:

Images: Read invoice photos using the Read tool. Extract: date, vendor, amount, item type, notes.
Text descriptions: Parse the user's text for the same fields.
Mixed: Multiple images + supplementary text.

For each invoice, extract these fields:

json

{
  "date": "2026-04-15",
  "vendor": "海底捞(国贸店)",
  "item": "客户餐费",
  "amount": 486.00,
  "category": "业务招待",
  "note": "与XX公司李总晚餐"
}

Step 2: Classify

Assign each invoice to a category from the table above. Rules:

If the user explicitly states the category, use it.
If the item/vendor clearly matches a category keyword, auto-assign.
For ambiguous items (e.g., "餐费" could be 业务招待 or 差旅-餐饮):
- If the note mentions a client/customer → 业务招待
- If the context is a business trip → 差旅-餐饮
- If unclear, ask the user.

Step 3: Confirm with User

Before generating, show the extracted data as a table:

| # | 日期 | 商户 | 项目 | 金额 | 分类 | 备注 |
|---|------|------|------|------|------|------|
| 1 | 2026-04-15 | 海底捞 | 客户餐费 | 486.00 | 业务招待 | 与XX公司李总 |
| 2 | 2026-04-14 | 滴滴出行 | 打车 | 45.50 | 差旅-交通 | 机场→酒店 |

Ask: "以上信息是否正确? 需要修改或补充吗?"

Step 4: Generate Excel

Write the confirmed data to a temp JSON file, then run:

bash

python expense-report-skill/scripts/generate_report.py \
  --input /tmp/invoices.json \
  --output "发票报销汇总-YYYYMMDD.xlsx"

JSON format (array of objects):

json

[
  {"date": "2026-04-15", "vendor": "海底捞", "item": "客户餐费", "amount": 486.0, "category": "业务招待", "note": "与XX公司李总"},
  {"date": "2026-04-14", "vendor": "滴滴出行", "item": "打车", "amount": 45.5, "category": "差旅-交通", "note": "机场→酒店"}
]

Step 5: Deliver

Tell the user:

Output file path
Total amount and breakdown by category
Remind them to review the "分类汇总" sheet for the summary

Output Format

The Excel file contains two sheets:

发票报销汇总 — Full detail, grouped by category with subtotals
分类汇总 — Summary table: category, count, subtotal

Style: Lovstudio warm-academic (terracotta headers #CC785C, warm cream accents).

Edge Cases

Blurry/unreadable image: Tell the user which fields couldn't be extracted; ask them to provide manually.
Foreign currency: Note the currency; convert to CNY if user provides rate, otherwise keep original with note.
Duplicate invoices: Flag potential duplicates (same date + vendor + amount) before generating.
No date on invoice: Use the date the user provides, or mark as "日期不详".