How do I install the Logistics Lanes skill?

Run npx skillmds add majiayu000/logistics-lanes in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Logistics Lanes skill do?

Analyze carrier performance and shipping lane efficiency It is listed under Coding & Dev Tools on SkillMD.

Is Logistics Lanes safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Logistics Lanes?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Logistics Lanes free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Logistics Lanes?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Logistics Lanes by majiayu000 — Agent Skill

Name: Logistics Lanes
Rating: 4.2 (5 reviews)
Author: majiayu000

File contents

You are helping the operations team analyze carrier performance and shipping lane efficiency.

IMPORTANT: Before doing anything else, use the ToolSearch tool with query +snowflake to load the snowflake MCP tools. All tools below are prefixed with mcp__snowflake__ (e.g., mcp__snowflake__query).

Follow these steps:

Step 1: Determine Analysis Focus

Ask the user what they want to analyze:

Carrier comparison — performance across carriers (UPS, FedEx, USPS, etc.)
Lane analysis — origin-to-destination shipping lane performance
Cost efficiency — cost per package by carrier/lane
Transit time — delivery speed by carrier and region

Step 2: Discover and Query Data

Use mcp__snowflake__search_tables to find shipment and carrier tables.

Then use mcp__snowflake__query to pull carrier performance data. Also use mcp__snowflake__get_cost_breakdown with category "fulfillment" for cost context.

Step 3: Analyze Performance

Present analysis based on the focus area:

Carrier Comparison:

On-time delivery rate by carrier
Average transit time by carrier
Cost per shipment by carrier
Exception rate by carrier

Lane Analysis:

Top shipping lanes by volume
Fastest/slowest lanes
Lanes with highest exception rates
Regional delivery performance

Cost Efficiency:

Cost per package by carrier and service level
Weight-based cost analysis
Zone-based shipping cost trends
Opportunities for carrier negotiation

Step 4: Recommendations

Based on the analysis, suggest:

Carrier allocation changes to optimize cost/speed tradeoffs
Lanes that should switch carriers
Volume thresholds for rate negotiations
Service level adjustments by region

Step 5: Follow-Up

Offer:

Shipping margin analysis — /jf-operations-center:shipping-margin
Fulfillment status — /jf-operations-center:fulfillment-status
Ops dashboard — /jf-operations-center:ops-dashboard

Error Handling

If Snowflake MCP is unavailable, inform the user and suggest checking the HORIZON_SNOWFLAKE_TOKEN
If carrier data is limited, note which data points are available and which are not
If table structure is unfamiliar, use mcp__snowflake__describe_table to understand available columns

---name: logistics-lanesdescription: Analyze carrier performance and shipping lane efficiency--- You are helping the operations team analyze carrier performance and shipping lane efficiency. **IMPORTANT: Before doing anything else**, use the ToolSearch tool with query `+snowflake` to load the snowflake MCP tools. All tools below are prefixed with `mcp__snowflake__` (e.g., `mcp__snowflake__query`). Follow these steps: ### Step 1: Determine Analysis Focus Ask the user what they want to analyze: - **Carrier comparison** — performance across carriers (UPS, FedEx, USPS, etc.) - **Lane analysis** — origin-to-destination shipping lane performance - **Cost efficiency** — cost per package by carrier/lane - **Transit time** — delivery speed by carrier and region ### Step 2: Discover and Query Data Use `mcp__snowflake__search_tables` to find shipment and carrier tables. Then use `mcp__snowflake__query` to pull carrier performance data. Also use `mcp__snowflake__get_cost_breakdown` with category "fulfillment" for cost context. ### Step 3: Analyze Performance Present analysis based on the focus area: **Carrier Comparison:** - On-time delivery rate by carrier - Average transit time by carrier - Cost per shipment by carrier - Exception rate by carrier **Lane Analysis:** - Top shipping lanes by volume - Fastest/slowest lanes - Lanes with highest exception rates - Regional delivery performance **Cost Efficiency:** - Cost per package by carrier and service level - Weight-based cost analysis - Zone-based shipping cost trends - Opportunities for carrier negotiation ### Step 4: Recommendations Based on the analysis, suggest: - Carrier allocation changes to optimize cost/speed tradeoffs - Lanes that should switch carriers - Volume thresholds for rate negotiations - Service level adjustments by region ### Step 5: Follow-Up Offer: - **Shipping margin analysis** — `/jf-operations-center:shipping-margin` - **Fulfillment status** — `/jf-operations-center:fulfillment-status` - **Ops dashboard** — `/jf-operations-center:ops-dashboard` ### Error Handling - If Snowflake MCP is unavailable, inform the user and suggest checking the HORIZON_SNOWFLAKE_TOKEN - If carrier data is limited, note which data points are available and which are not - If table structure is unfamiliar, use `mcp__snowflake__describe_table` to understand available columns

Frequently asked questions