shipping-data-analysis
Shipping Data Analysis - Brock's Reusable Prompt v4.0 Analyzes any shipping dataset with FirstMile-branded deliverables, normalized address grouping, and conditional advanced analytics based on available data fields. Use when: (1) Prospect provides shipping data (PLD, exports, etc.) (2) "analyze shipping data" or "shipping analysis" (3) "run Brock's prompt" or "data analysis v4.0" (4) Need DIM exposure, zone distribution, or cost intelligence reports (5) Creating prospect-facing shipping profile analysis Triggers on: "shipping analysis", "analyze shipping", "PLD analysis", "Brock's prompt", "d
npx skills add majiayu000/claude-skill-registry --skill shipping-data-analysis --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.
# Shipping Data Analysis Skill > *Brock Hansen's Reusable Prompt v4.0 - FirstMile branded shipping analytics* > *Updated: January 7, 2026 - F.R.O.G. Fulfillment analysis learnings* ## Overview This skill generates comprehensive shipping analysis workbooks using Brock's standardized v4.0 prompt structure. It produces up to 16 Excel sheets with FirstMile branding, intelligent address normalization, and conditional advanced analytics. ## Quick Start ``` /shipping-analysis [file.xlsx] --company "Company Name" ``` ## Required Inputs | Input | Description | |-------|-------------| | **File** | Excel/CSV with shipping data | | **Company Name** | Used in all report titles | | **Column Mapping** | Map your columns to standard fields | ## Column Mapping (Required) | Field | Your Column | Notes | |-------|-------------|-------| | Order Date | _____ | "Label Processed On", "Order Date", "Ship Date" | | Ship Address (Origin) | _____ | Warehouse/fulfillment center or Client Name as proxy | | Service Level | _____ | Carrier service name | | Tracking Number | _____ | For carrier inference | | Weight | _____ | Specify oz or lbs | | Dimensions | _____ | L/W/H or DIMS Grouped | ### Date Column Detect
- Overview
- Quick Start
- Required Inputs
- Column Mapping (Required)
- Date Column Detection Priority
- Optional Columns (Enable Advanced Modules)
- Output Structure
- Core Sheets (Always Generated)
- Conditional Sheets (If Data Exists)
- Executive Summary - 3-Column Layout
- Layout Structure
- Weight Distribution Format
- Correct Format (Individual Weights)
- Implementation
What does the shipping-data-analysis skill do?
Shipping Data Analysis - Brock's Reusable Prompt v4.0 Analyzes any shipping dataset with FirstMile-branded deliverables, normalized address grouping, and conditional advanced analytics based on available data fields. Use when: (1) Prospect provides shipping data (PLD, exports, etc.) (2) "analyze shipping data" or "shipping analysis" (3) "run Brock's prompt" or "data analysis v4.0" (4) Need DIM exposure, zone distribution, or cost intelligence reports (5) Creating prospect-facing shipping profile analysis Triggers on: "shipping analysis", "analyze shipping", "PLD analysis", "Brock's prompt", "d
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill shipping-data-analysis --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 majiayu000/claude-skill-registry, a repository with 534 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.