dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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.
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-reportsInspect 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.
Use this skill to produce clean chart/report images for warehouse demos.
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
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
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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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