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PythonReactSEOPDF
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 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install chinmayagit/warehouse-reports

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

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.

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/chinmayagit/warehouse-reports
Version
—
Commit
fe929868f5b759fc45a385290d08a1b18c2ca626
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

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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