Overview
- Skill Key
- chinmayagit/warehouse-reports
- Author
- chinmayagit
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/chinmayagit/warehouse-reports
- Latest Commit SHA
- fe929868f5b759fc45a385290d08a1b18c2ca626
Generate warehouse analytics charts, table images, and report-ready visuals from SQLite/CSV data. Use when the user asks for warehouse charts, product table images, stock health pie charts, revenue/profit visuals, missing-product visuals, or image assets for PDF/slide reporting.
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0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 warehouse-chart-reports 技能。 若已安装,则直接安装 warehouse-chart-reports 技能。
# Warehouse Chart Reports Use this skill to produce clean chart/report images for warehouse demos. ## Run full warehouse visual pack (recommended) Execute: ```bash python skills/warehouse-chart-reports/scripts/run_warehouse_reports.py \ --db demo/warehouse_agent/warehouse_demo.db \ --out demo/warehouse_agent/outputs ``` This generates: - `stock_status_pie.png` - `revenue_by_category.png` - `daily_profit_30d.png` - `product_table_top40.png` - `missing_products.csv` - `kpi_summary.txt` ## Generate product table image only Execute: ```bash python skills/warehouse-chart-reports/scripts/product_table_image.py \ --db demo/warehouse_agent/warehouse_demo.db \ --out demo/warehouse_agent/outputs/product_table_top40.png \ --limit 40 ``` ## Notes - Prefer virtualenv Python when matplotlib is unavailable system-wide. - Keep chart style simple and readable for PDF embedding. - If sales timestamps are sparse for today, use the 30-day profit chart for trend visibility.
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