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데이터 및 연구 · SKILL.md

lov-expense-report

lov-expense-report

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 menti…

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: lov-expense-report category: Finance tagline: "Invoice images/text → categorized Excel expense report." description: > 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. license: MIT compatibility: > Requires Python 3.8+ and openpyxl (pip install openpyxl). Cross-platform: macOS, Windows, Linux. depends_on:

  • lov-branding-consistency metadata: author: contributors version: "0.2.1" tags: invoice expense report reimbursement excel categorize

报销管家 · Expense Assistant

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

CategoryKeywords / 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:

{
  "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:

  1. If the user explicitly states the category, use it.
  2. If the item/vendor clearly matches a category keyword, auto-assign.
  3. 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 |

Use AskUserQuestion to 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:

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):

[
  {"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:

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

Style: Skill Publisher warm-academic (terracotta headers #4F46E5, 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".

Runtime context (shared)

运行前读取本 Skill 包的 skill.yaml,由宿主提供 skill-runtime/v1 上下文。字段解析顺序为:当前请求、项目上下文、个人 Preferences、品牌 Profile、通用默认值。

  • 只使用 Manifest 声明的字段;Profile 保存公开品牌事实,Preferences 保存个人工作偏好。
  • required: true 字段缺失时,按 Manifest 的问题配置向用户提出一个聚焦问题;用户明确同意后再保存回答。
  • 报错提供可复制的 context_id、字段路径与来源,诊断内容避开秘密、完整私人路径和原始配置。

通用反馈闭环

用户在 Skill 驱动任务中提出修改意见时,继续当前产物前必须执行:

  1. 先判断意见是 task-specific(仅本次)还是 reusable(可跨任务复用)。
  2. task-specific 只修改当前任务,不改 Skill。
  3. reusable 先确定作用域:领域规则先更新对应 canonical Skill;适用于所有 Skill 的规则先更新共享规范。
  4. 完成规则更新、版本、lint 与分发核验后,再把修改应用到当前任务。
  5. reusable 修改会使此前的“确认”“继续”“发吧”失效;完成当前产物修改和回读后必须停下,等待用户下一步指示,不自动进入发布、提交或其他外部写入。
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