An AI-driven retail inventory diagnostic tool that generates data-backed action strategies using quadrant analysis and lifecycle tracking.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install inventory-strategy
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install inventory-strategy using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The inventory-strategy skill is a sophisticated framework designed for retail health diagnosis and automated decision-making. By leveraging the Openclaw Skills ecosystem, it integrates directly with semantic data layers to perform four-quadrant classification based on sell-through rates and stock-to-sales ratios. This skill helps retail managers move beyond simple data viewing into actionable business intelligence.
At its core, the skill provides a three-phase diagnostic workflow that ensures human-in-the-loop oversight while automating the heavy lifting of data aggregation. It specifically targets problem areas such as stagnant inventory and replenishment gaps, providing professional-grade HTML reports and Excel action plans to streamline operations.
To use this skill effectively, the metric-query skill must be loaded beforehand to handle the underlying data requests.
# Load the required dependency
openclaw load metric-query
# Trigger the inventory diagnosis
openclaw run inventory-strategy --query "analyze my current inventory health"
The skill organizes its output into a structured diagnostic taxonomy. Below is the primary classification schema used by this Openclaw Skills component:
| Classification | Logic | Business Action |
|---|---|---|
| Q1 Healthy | Sell-through >= 40%, SSR < 0.5 | Maintain current strategy |
| Q2 Overstock | Sell-through >= 40%, SSR >= 0.5 | End-of-season clearance |
| Q3 Stagnant | Sell-through < 40%, SSR >= 0.5 | Aggressive promotion (P0) |
| Q4 Observation | Sell-through < 40%, SSR < 0.5 | Weekly monitoring (New arrivals) |
| Stockout Risk | SSR < 0.15 | Urgent replenishment (P0) |
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