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OpenClaw

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.

chinmayagit0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install chinmayagit/warehouse-reports

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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.

Source information

Source
github
Repository
openclaw/skills
Path
skills/chinmayagit/warehouse-reports
Version
—
Commit
fe929868f5b759fc45a385290d08a1b18c2ca626
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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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