Agent skill · Data & Analytics

shipping-data-analyst

Shipping Data Analyst Expert - Rate Preparation Intelligence v5.0 Mental Model: This is DISCOVERY, not selling. Learn their world before proposing solutions. Triggers on: "shipping analysis", "PLD analysis", "rate prep", "shipping data", "freightclub", "shipstation export", "analyze shipping", "weight distribution", "zone analysis" Use when: Customer provides shipping data export and you need to understand their profile for rate creation.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill shipping-data-analyst --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/analysis/shipping-data-analyst/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Shipping Data Analyst Expert > *"Understand their world before proposing solutions."* ## Quick Reference | Framework | Purpose | When to Use | |-----------|---------|-------------| | Rate Prep Intelligence | Data extraction for rate team | Every new prospect with shipping data | | Column Mapping | Identify data fields | Before any analysis | | Data Quality Audit | Validate data reliability | First step of every analysis | | Weight Band Analysis | Rate card tier pricing | Core deliverable | | Zone Analysis | Zone-based pricing | Core deliverable | | DIM Exposure | Billable weight adjustments | When dimensions available | ## Core Philosophy **"Discovery Before Solutions"** - This analysis happens BEFORE rates exist. No savings estimates, no recommendations, no sales pitch. Just clean data for the rate team. **"Red Pill Mode"** - Internal analysis, not customer-facing. Organized for rate team consumption. ## Decision Rules Summary ### Data Source Selection ``` IF file extension = .csv AND columns match ShipStation → Use ShipStation mapping IF file extension = .xlsx AND "FreightClub" in filename → Use FreightClub mapping IF columns unclear → Ask user for column mapping before proceed

What's inside
Steps it walks through
  1. Quick Reference
  2. Core Philosophy
  3. Decision Rules Summary
  4. Data Source Selection
  5. Weight Column Selection (CRITICAL)
  6. Analysis Depth Selection
  7. Output Selection
  8. Reference Files
  9. Workflow
  10. Step 1: Identify Data Source
  11. Step 2: Validate Weight Column
  12. Step 3: Run Analysis
  13. Step 4: Handoff to Rate Team
  14. Column Mappings
Ships with 1 file
  • metadata.json
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About this skill
What does the shipping-data-analyst skill do?

Shipping Data Analyst Expert - Rate Preparation Intelligence v5.0 Mental Model: This is DISCOVERY, not selling. Learn their world before proposing solutions. Triggers on: "shipping analysis", "PLD analysis", "rate prep", "shipping data", "freightclub", "shipstation export", "analyze shipping", "weight distribution", "zone analysis" Use when: Customer provides shipping data export and you need to understand their profile for rate creation.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill shipping-data-analyst --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.

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