菜单
Structure and data sources for the weekly inventory report. Load this when the task is "weekly report", "Monday report", or "summarize inventory status".
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Workshop coach for the Research Desk (SEC agents) workshop. Use when the user types /workshop, asks for a workshop act or module ("act 2", "next act", "where am I"), wants a TODO(workshop-N) implemented or explained, or asks for help following WORKSHOP.md.
How to pull SEC EDGAR data with the edgartools Python package — company lookup, filings, XBRL financial statements, and filing sections like Item 1A risk factors. Use whenever a task involves SEC filings, 10-K/10-Q data, or company financials.
Where diamonds spawn in Minecraft 1.20.
How to produce a demand forecast for a SKU, and when to delegate that to a subagent vs. compute it yourself. Load this for any task involving "forecast", "how much will we sell", "next month", promos, or seasonal SKUs.
Fixed-format templates for Slack alerts, supplier emails, and escalations. Load this whenever the task is "notify", "alert", "email", or "tell ops".
How to decide whether and how much to reorder a SKU. Load this whenever a task involves reorder recommendations, purchase orders, or "should we restock" questions.
| name | weekly-report |
| description | Structure and data sources for the weekly inventory report. Load this when the task is "weekly report", "Monday report", or "summarize inventory status". |
Generate the report by writing one Python script via code execution that reads the CSVs and emits markdown. Do not make per-SKU tool calls.
# Inventory Report — {{warehouse or "All Warehouses"}} — week of {{date}}
## Stockouts (on_hand = 0)
| SKU | Product | Warehouse | Days out |
...
## Low Stock (below reorder point)
| SKU | On hand | Reorder pt | Days cover | Action |
...top 15 by urgency (lowest days_cover first)...
## Open POs
| PO | SKU | Qty | Supplier | ETA |
...from /mnt/user/sinks/purchase_orders.jsonl...
## Forecast Risk
SKUs where promo_next_month=1 or is_seasonal=1 and on_hand < 14d cover.
One line each: SKU, reason, recommended action.
| Cadence | Trigger phrasing | Contents |
|---|---|---|
| Daily | "run the check", "the sweep" | Low-stock list with action taken per SKU; one summary notification at the end. |
| Weekly (Mon) | "the report", "weekly review" | Per-warehouse: top concerns, open POs aging past their lead time, SKUs below reorder for >5 business days. |
| Monthly | "supplier review" | Suppliers whose on-time rate slipped; SKUs whose primary supplier may need changing. |
| Ad hoc | anything else | Scope to what was asked. |
If the request doesn't say which, infer from wording. The structure below is the weekly format; for daily, drop the Open-POs and Forecast-Risk sections and lead with the actions taken.
For each open PO, compare days-since-placed to the supplier's lead_time_days.
List any PO where elapsed > lead_time as aging and include supplier + days
overdue so ops can follow up.
/mnt/user/data/stock_levels.csv joined with /mnt/user/data/products.csvon_hand / avg_daily_sales (last 14d from /mnt/user/data/sales_history.csv)/mnt/user/sinks/purchase_orders.jsonl/mnt/user/data/products.csv flags + days-of-cover from aboveThe CSVs are large (stock_levels is ~67k rows). Write a single script that loads them once, computes everything, and prints the markdown. Don't page through the data with tool calls — that's exactly the pattern this skill replaces.