last-mile-delivery-optimizer
Final delivery leg optimization skill including dynamic scheduling, time-window management, and delivery confirmation
Profile →npx skills add a5c-ai/babysitter --skill last-mile-delivery-optimizer --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.
# Last-Mile Delivery Optimizer ## Overview The Last-Mile Delivery Optimizer focuses on the final delivery leg optimization including dynamic scheduling, time-window management, and delivery confirmation. It maximizes delivery density, manages customer expectations, and coordinates various delivery methods including traditional carriers and crowdsourced options. ## Capabilities - **Delivery Density Optimization**: Maximize deliveries per route by clustering nearby addresses - **Time Window Scheduling**: Schedule deliveries within customer-preferred time windows - **Driver Dispatch Optimization**: Assign deliveries to drivers based on location, capacity, and skills - **Proof of Delivery Automation**: Capture signatures, photos, and timestamps for delivery confirmation - **Failed Delivery Management**: Handle failed deliveries including rescheduling and alternative locations - **Customer Communication Integration**: Send proactive updates on delivery status and ETA - **Crowdsourced Delivery Coordination**: Integrate with gig economy platforms for flexible capacity ## Tools and Libraries - Routing APIs - Last-Mile Platforms - Driver Apps - Customer Notification Systems ## Used By Proce
- Overview
- Capabilities
- Tools and Libraries
- Used By Processes
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- Performance Metrics
What does the last-mile-delivery-optimizer skill do?
Final delivery leg optimization skill including dynamic scheduling, time-window management, and delivery confirmation
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill last-mile-delivery-optimizer --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.