Agent skill · Backend & API

supply-chain-optimization-walmart

Supply Chain Bottleneck Analyzer for Walmart Marketplace sellers. Diagnose cash flow, inventory, WFS costs, and referral fees. Includes comparison with Amazon FBA, lower storage fee optimization, and Walmart Connect ad spend analysis. No API key required for basic analysis.

nexscope-aigithub.com/nexscope-aiGitHub ↗
claude-codeships scriptsMIT
Install
npx skills add nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-walmart --agent claude-code

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

Facts
Files in the skill folder: 4
SKILL.md size: 3 KB
Bundled scripts: yes
Version: 1.0.0
Path: supply-chain-optimization/supply-chain-optimization-walmart/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 580
Language: Python

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

From the SKILL.md

# Supply Chain Optimization — Walmart 📦 Supply chain bottleneck analyzer for Walmart Marketplace sellers. Diagnose cash flow, inventory, WFS costs, and referral fees. ## Installation ```bash npx skills add nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-walmart -g ``` ## Platform Characteristics | Feature | Walmart | vs Amazon | |---------|---------|-----------| | Fulfillment | WFS (Walmart Fulfillment Services) | FBA | | Commission | 6-15% (by category) | 8-15% | | Payment cycle | 14-21 days | 14 days | | Storage fees | Lower | Higher | | Long-term storage | No extra fee | Yes | ## Cost Structure (Walmart) ``` Selling Price $XX ├── Product Cost ├── Inbound Shipping ├── WFS Fulfillment Fee (similar to FBA) ├── WFS Storage Fee (lower than FBA) ├── Referral Fee (6-15%) ├── Advertising (Walmart Connect) └── Net Profit ``` ## Benchmark Configuration ```python BENCHMARKS = { "walmart": { "gross_margin": { "healthy": 0.35, # Walmart commission lower, benchmark can be lower "warning": 0.25, "danger": 0.15 }, "shipping_ratio": { "healthy": 0.06, # WFS shipping slightly higher "warning": 0.10, "danger": 0.15 }, "inventory_days": { "healthy": 45, "warning": 60, "danger": 90 }

What's inside
Steps it walks through
  1. Installation
  2. Platform Characteristics
  3. Cost Structure (Walmart)
  4. Benchmark Configuration
  5. API Integration
  6. Walmart Marketplace API
  7. Available Data
  8. Usage Flow
  9. Input Data
  10. vs Amazon Comparison
  11. Key Advantages
Ships with 3 files
  • scripts/calculator.py
  • scripts/report_doc.py
  • scripts/report_html.py
Commands it runs
npx skills add nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-walmart -g
export WALMART_CLIENT_ID="xxx"
export WALMART_CLIENT_SECRET="xxx"
More from eCommerce-Skills
All skills →
About this skill
What does the supply-chain-optimization-walmart skill do?

Supply Chain Bottleneck Analyzer for Walmart Marketplace sellers. Diagnose cash flow, inventory, WFS costs, and referral fees. Includes comparison with Amazon FBA, lower storage fee optimization, and Walmart Connect ad spend analysis. No API key required for basic analysis.

How do I install it?

Run `npx skills add nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-walmart --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 nexscope-ai/eCommerce-Skills, a repository with 580 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.

Keep going