Supply Chain Optimization Amazon Lite Agent Skill
Supply Chain Optimization (Lite) - Diagnose bottlenecks and provide cost reduction strategies through conversation
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-amazon-liteWhat comes with it
35 164 bytes besides the instructionThe instruction itself
11 sections, as written by the authorSupply Chain Optimization (Lite)
Supply chain bottleneck analysis tool - Conversation-based version
No API integration required. Collect data through guided conversation, automatically diagnose bottlenecks and output cost reduction strategies.
Use Cases
- Amazon seller supply chain health check
- Bottleneck identification and cost optimization
- Supply chain decision support
Workflow
Step 1: Trigger Skill
User says:
Analyze my supply chain
Supply chain diagnosis
I want to optimize supply chain costs
Step 2: Business Profile Collection
Guide user to describe in natural language:
👋 Starting Supply Chain Analysis
Please describe your situation in a sentence or two, like:
"I sell kitchen products, 15 SKUs, $50K monthly sales, sourcing from Yiwu, sea freight to FBA, shipping costs seem high"
Or just tell me what problem you want to solve.
Identify and confirm:
- Category
- SKU count
- Monthly revenue scale
- Sourcing location
- Logistics model
- Main pain points
Step 3: Supply Chain Data Collection
Guide user to provide key data:
📊 I need some data to locate bottlenecks (rough numbers are fine)
**Sourcing**
• Product cost (FOB): $___/unit
• Supplier payment terms: ___ days
• Lead time: ___ days
**Logistics**
• Shipping cost per unit: $___
• Transit time: ___ days
**Sales**
• Average selling price: $___
• FBA fulfillment fee: $___/unit
• Monthly storage fee: $___/unit
• Ad spend ratio: ___%
**Inventory**
• Current inventory days: ___ days
• Long-term storage fees: Yes/No
Just reply in natural language.
Step 4: Bottleneck Diagnosis
Run calculation script:
python3 scripts/calculator.py '{"product_cost": 8, "supplier_payment_days": 0, ...}'
Output diagnosis report:
- Key metrics table (with health status)
- Cost structure breakdown
- Top 3 bottlenecks
Step 5: Cost Reduction Strategies
For each bottleneck provide:
- Problem description
- Impact analysis
- Specific recommendations
- Action checklist
Step 6: Output Format Selection
📤 Analysis complete! Choose output format:
1️⃣ **Text** - View in current conversation (already shown)
2️⃣ **Web Chart** - Generate visual report webpage
3️⃣ **Report Doc** - Document format for sharing/presentation
Reply with number or say "generate web report"
Benchmark Configuration
The following benchmarks can be customized based on your business:
| Metric | Healthy | Warning | Danger |
|--------|---------|---------|--------|
| Gross Margin | >40% | 30-40% | <30% |
| Shipping Ratio | <5% | 5-10% | >10% |
| Net Margin | >20% | 10-20% | <10% |
| Inventory Turnover | <45 days | 45-60 days | >60 days |
| Cash Cycle | <90 days | 90-120 days | >120 days |
To adjust, modify BENCHMARKS in scripts/calculator.py.
File Structure
amazon-lite/
├── SKILL.md # Index (this file)
├── SKILL.en.md # English version
├── SKILL.zh-CN.md # Chinese version
├── _meta.json
└── scripts/
└── calculator.py
_Version 1.0.0 | Platform: Amazon | Lang: English_
Part of Nexscope AI — AI tools for e-commerce sellers.
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How to use it
Take nexscope-ai/supply-chain-optimization-amazon-lite from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.