# genpark-quick-commerce-15min-picker-batching-optimizer-skill

> genpark-quick-commerce-15min-picker-batching-optimizer-skill — alphaparkinc-genpark-quick-commerce-15min-picker-batching-optimizer-skill. Use this tool when you need to optimize order batching for quick commerce warehouses, solving problems of inefficient order processing and delayed shipments. It takes in warehouse order data and outputs optimized batches, streamlining the picking process to meet tight 15-minute delivery windows. Ideal for use in fast-paced e-commerce environments where speed and accuracy are crucial.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-quick-commerce-15min-picker-batching-optimizer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-quick-commerce-15min-picker-batching-optimizer-skill

## Description

15-minute quick commerce warehouse order batching optimizer (Astro style)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-quick-commerce-15min-picker-batching-optimizer-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaparkinc-genpark-quick-commerce-15min-picker-batching-optimizer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-quick-commerce-15min-picker-batching-optimizer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-quick-commerce-15min-picker-batching-optimizer-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt