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// Skill profile

Warehouse Chart Reports

name: warehouse-chart-reports

by chinmayagit · published 2026-03-22

图像生成数据处理
Total installs
0
Stars
★ 0
Last updated
2026-03
// Install command
$ claw add gh:chinmayagit/chinmayagit-warehouse-reports
View on GitHub
// Full documentation

---

name: warehouse-chart-reports

description: 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.

---

# Warehouse Chart Reports

Use this skill to produce clean chart/report images for warehouse demos.

Run full warehouse visual pack (recommended)

Execute:

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:

    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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