aetherlang-strategy
Nobel-level strategic business intelligence with game theory, Monte Carlo simulations, market analysis, and implementation roadmaps.
Track daily expenses in structured markdown files organized by month. Use when the user wants to log spending, view expense summaries, analyze spending patterns, or manage personal finance tracking. Supports categories, tags, and monthly summaries.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install aholake/aholake-expense-tracker打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Log and track daily expenses in markdown files organized by month.
python3 scripts/log_expense.py log <amount> <category> [--description "text"] [--tags "tag1,tag2"] [--date YYYY-MM-DD]
Examples:
# Simple expense
python3 scripts/log_expense.py log 45000 Coffee
# With description
python3 scripts/log_expense.py log 250000 Dining --description "Lunch with team"
# With tags
python3 scripts/log_expense.py log 500000 Shopping --tags "clothes,sale" --description "New shirt"
# Specify date (for backdating)
python3 scripts/log_expense.py log 1200000 Vehicle --description "Gas" --date 2026-02-15
# Current month
python3 scripts/log_expense.py summary
# Specific month
python3 scripts/log_expense.py summary 2026-02
# JSON output (for parsing)
python3 scripts/log_expense.py summary 2026-02 --json
Expenses are stored in expenses/ directory at workspace root:
expenses/
├── 2026-01.md
├── 2026-02.md
└── 2026-03.md
Each file contains a markdown table:
# Expenses - 2026-02
| Date | Category | Amount (VND) | Description | Tags |
|------|----------|-------------|-------------|------|
| 2026-02-17 | Coffee | 45,000 | | |
| 2026-02-17 | Dining | 250,000 | Lunch with team | |
| 2026-02-17 | Shopping | 500,000 | New shirt | clothes,sale |
See references/categories.md for common expense categories. Use existing categories or create custom ones as needed.
Common categories:
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# Expense Tracker Log and track daily expenses in markdown files organized by month. ## Quick Start ### Log an expense ```bash python3 scripts/log_expense.py log <amount> <category> [--description "text"] [--tags "tag1,tag2"] [--date YYYY-MM-DD] ``` Examples: ```bash # Simple expense python3 scripts/log_expense.py log 45000 Coffee # With description python3 scripts/log_expense.py log 250000 Dining --description "Lunch with team" # With tags python3 scripts/log_expense.py log 500000 Shopping --tags "clothes,sale" --description "New shirt" # Specify date (for backdating) python3 scripts/log_expense.py log 1200000 Vehicle --description "Gas" --date 2026-02-15 ``` ### View monthly summary ```bash # Current month python3 scripts/log_expense.py summary # Specific month python3 scripts/log_expense.py summary 2026-02 # JSON output (for parsing) python3 scripts/log_expense.py summary 2026-02 --json ``` ## File Organization Expenses are stored in `expenses/` directory at workspace root: ``` expenses/ ├── 2026-01.md ├── 2026-02.md └── 2026-03.md ``` Each file contains a markdown table: ```markdown # Expenses - 2026-02 | Date | Category | Amount (VND) | Description | Tags | |------|----------|-------------|-------------|------| | 2026-02-17 | Coffee | 45,000 | | | | 2026-02-17 | Dining | 250,000 | Lunch with team | | | 2026-02-17 | Shopping | 500,000 | New shirt | clothes,sale | ``` ## Categories See `references/categories.md` for common expense categories. Use existing categories or create custom ones as needed. Common categories: - **Housing** - Rent, utilities, home expenses - **Vehicle** - Gas, maintenance, parking - **Dining** - Restaurants, food delivery - **Coffee** - Cafes, coffee shops - **Shopping** - Clothes, electronics, general purchases - **Entertainment** - Movies, games, hobbies - **Healthcare** - Medicine, doctor visits - **Subscriptions** - Netflix, Spotify, gym, apps - **Savings** - Investments, emergency fund - **Debt Payment** - Loans,...
Nobel-level strategic business intelligence with game theory, Monte Carlo simulations, market analysis, and implementation roadmaps.
AI content from TrueSlazac Twitter account. Use when accessing AI-related prompts, templates, or discussions from social media sources.
AI content from TrueSlazac Twitter account. Use when accessing AI-related prompts, templates, or discussions from social media sources.
AI content from TrueSlazac Twitter account. Use when accessing AI-related prompts, templates, or discussions from social media sources.