safety-stock-calculator
Dynamic safety stock and reorder point optimization skill based on demand variability, lead times, and service level targets
Profile →npx skills add a5c-ai/babysitter --skill safety-stock-calculator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Safety Stock Calculator ## Overview The Safety Stock Calculator is a dynamic skill that optimizes safety stock levels and reorder points based on demand variability, lead time uncertainty, and service level targets. It uses statistical methods and optimization algorithms to balance inventory investment against stockout risk. ## Capabilities - **Service Level to Safety Stock Conversion**: Calculate required safety stock to achieve target service levels using statistical methods - **Lead Time Variability Modeling**: Incorporate lead time uncertainty into safety stock calculations - **Demand Variability Analysis**: Analyze demand patterns and variability to determine appropriate buffer stock - **Reorder Point Calculation**: Calculate optimal reorder points combining expected demand and safety stock - **Order Quantity Optimization (EOQ)**: Determine economic order quantities balancing ordering and holding costs - **Min/Max Parameter Setting**: Set minimum and maximum inventory parameters for replenishment systems - **Multi-Echelon Inventory Optimization**: Optimize inventory across multiple distribution tiers ## Tools and Libraries - Inventory Optimization Libraries - scipy (statisti
- Overview
- Capabilities
- Tools and Libraries
- Used By Processes
- Usage
- Integration Points
- Performance Metrics
What does the safety-stock-calculator skill do?
Dynamic safety stock and reorder point optimization skill based on demand variability, lead times, and service level targets
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill safety-stock-calculator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.