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warehouse-chart-reports

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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Status

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安装方式

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。

Overview

Skill Key
chinmayagit/warehouse-reports
Author
chinmayagit
Source Repo
openclaw/skills
Version
-
Source Path
skills/chinmayagit/warehouse-reports
Latest Commit SHA
fe929868f5b759fc45a385290d08a1b18c2ca626

Extracted Content

SKILL.md excerpt

# 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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