Cross Border Listing
mohitagw15856/pm-claude-skills
Write a product listing for an overseas marketplace or store, localised for the buyer rather than translated from Chinese: title, bullet points, description, search terms and the compliance claims…
E-commerce warehouse and inventory optimization advisor. An agent skill from nexscope-ai/eCommerce-Skills.
Install Warehouse Optimization
$ npx skills add nexscope-ai/eCommerce-Skills --skill warehouse-optimization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nexscope-ai/eCommerce-Skills warehouse-optimization --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/warehouse-optimization .claude/skills/warehouse-optimization && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "warehouse-optimization" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/warehouse-optimization into .claude/skills/warehouse-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "warehouse-optimization", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/nexscope-ai/eCommerce-Skills/tree/main/warehouse-optimizationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add nexscope-ai/eCommerce-Skills --skill warehouse-optimization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nexscope-ai/eCommerce-Skills warehouse-optimization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/warehouse-optimization .agents/skills/warehouse-optimization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "warehouse-optimization" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/warehouse-optimization into .agents/skills/warehouse-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "warehouse-optimization", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nexscope-ai/eCommerce-Skills --skill warehouse-optimization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nexscope-ai/eCommerce-Skills warehouse-optimization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/warehouse-optimization .cursor/skills/warehouse-optimization && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "warehouse-optimization" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/warehouse-optimization into .cursor/skills/warehouse-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "warehouse-optimization", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/nexscope-ai/eCommerce-Skills.git --path warehouse-optimization--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add nexscope-ai/eCommerce-Skills --skill warehouse-optimization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nexscope-ai/eCommerce-Skills warehouse-optimization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/warehouse-optimization .gemini/skills/warehouse-optimization && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "warehouse-optimization" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/warehouse-optimization into .gemini/skills/warehouse-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "warehouse-optimization", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install nexscope-ai/eCommerce-Skills warehouse-optimizationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add nexscope-ai/eCommerce-Skills --skill warehouse-optimization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/warehouse-optimization .github/skills/warehouse-optimization && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "warehouse-optimization" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/warehouse-optimization into .github/skills/warehouse-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "warehouse-optimization", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add nexscope-ai/eCommerce-Skills --skill warehouse-optimization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nexscope-ai/eCommerce-Skills warehouse-optimization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/warehouse-optimization .opencode/skills/warehouse-optimization && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "warehouse-optimization" agent skill from https://github.com/nexscope-ai/eCommerce-Skills/tree/main/warehouse-optimization into .opencode/skills/warehouse-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "warehouse-optimization", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
warehouse-optimization- GitHub stars
- 1.1k
- Token cost
- ~3.4k tokens
- SKILL.md length
- 855 words
- Files
- 2
- Skills in repo
- 114
- Repo updated
- First seen
- Licence
- MIT
At a glance
E-commerce warehouse and inventory optimization advisor. An agent skill from nexscope-ai/eCommerce-Skills.
- Works in 7 steps: Collect Current State Data → Calculate Key Metrics → Perform ABC Analysis → …
- Reducing stockouts
- SKILL.md covers Installation, Supported Fulfillment Models, Usage Examples and First Interaction, plus 8 more sections
- Calls npx
What it does
Warehouse Optimization is an agent skill from nexscope-ai/eCommerce-Skills. E-commerce warehouse and inventory optimization advisor. Analyzes inventory health, calculates safety stock and reorder points, performs ABC analysis, evaluates fulfillment costs, and provides actionable recommendations for improving efficiency. Supports all major fulfillment models: Self-fulfillment, Amazon FBA/FBM, Walmart WFS, 3PL, Shopify Fulfillment, TikTok Shop, Dropshipping, and Hybrid setups. No API key required. Use when: (1) reducing stockouts or overstock, (2) calculating safety stock levels, (3)…
Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `evals/evals.json`).
It sits in Sales & Support, covering E-commerce operations and OKRs and executive reporting. It works with TikTok and Shopify. The repository describes itself as: E-commerce skills for AI agents — product research, marketing automation, supply chain optimization, and business analytics for online sellers across Amazon, Shopify, Etsy… The licence is MIT.
When your agent uses it
- Reducing stockouts
- Calculating safety stock levels
- Optimizing warehouse costs
- Improving Amazon IPI score
Example prompts
- “/warehouse-optimization”
Requirements
- Node.js
Workflow steps
7 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit ee0fb29. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
nexscope.aigithub.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Warehouse Optimization loads about 3.4k tokens when it runs. Until then it costs about 156 tokens; SKILL.md has 855 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from nexscope-ai/eCommerce-Skills at commit ee0fb29, republished under its MIT licence (© nexscope-ai). 855 words, ~3,359 tokens.
Download SKILL.mdSave it as
.claude/skills/warehouse-optimization/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- warehouse-optimization
- description
- E-commerce warehouse and inventory optimization advisor. Analyzes inventory health, calculates safety stock and reorder points, performs ABC analysis, evaluates fulfillment costs, and provides actionable recommendations for improving efficiency. Supports all major fulfillment models: Self-fulfillment, Amazon FBA/FBM, Walmart WFS, 3PL, Shopify Fulfillment, TikTok Shop, Dropshipping, and Hybrid setups. No API key required. Use when: (1) reducing stockouts or overstock, (2) calculating safety stock levels, (3) optimizing warehouse costs, (4) improving Amazon IPI score, (5) analyzing inventory KPIs.
Warehouse & Inventory Optimization 🏭
Diagnose and optimize your warehouse operations: analyze inventory health, calculate safety stock, reduce costs, and improve efficiency. No API key required.
Installation
npx skills add nexscope-ai/eCommerce-Skills --skill warehouse-optimization -gSupported Fulfillment Models
| Model | Platform | Optimization Focus |
|---|---|---|
| Self-Fulfillment | Any | Warehouse layout, staffing, pick/pack efficiency, storage costs |
| Amazon FBA | Amazon | IPI score, storage fees, aged inventory, restock limits |
| Amazon FBM | Amazon | Shipping speed, Prime eligibility, cost vs FBA |
| Walmart WFS | Walmart | Fulfillment fees, storage limits, Pro Seller status |
| 3PL | Multi-channel | Provider costs, SLAs, contract optimization, hidden fees |
| Shopify Fulfillment Network | Shopify | Distributed inventory, delivery speed, cost analysis |
| TikTok Shop Fulfillment | TikTok | TikTok-specific requirements, shipping SLAs |
| Dropshipping | Any | Supplier reliability, lead times, stockout prevention |
| Hybrid | Multi-channel | Inventory allocation, channel balancing, split strategy |
Usage Examples
Audit my warehouse operations. I'm self-fulfilling from a 2,000 sq ft warehouse.
500 SKUs, 3,000 orders/month. Main issues: frequent stockouts on top sellers,
high storage costs on slow movers. Help me optimize.I use FBA for my Amazon store. IPI score dropped to 350. I have excess inventory
warnings on 40 SKUs. How do I fix this before I get storage limits?Running FBM for my oversized products and FBA for standard. 200 orders/day total.
Which SKUs should I move to FBA vs keep FBM? Help me optimize the split.Using ShipBob as my 3PL. Monthly bill is $8,500 for 2,000 orders. Is this competitive?
What should I negotiate or consider switching?First Interaction
When user first asks about warehouse optimization, inventory management, or fulfillment efficiency, greet them with:
🏭 Warehouse Optimization ready!
I'll help you diagnose issues and optimize your inventory operations.
**Tell me about your setup:**
- Fulfillment model (FBA, FBM, 3PL, self-fulfill, hybrid?)
- Approximate SKU count
- Monthly order volume
- Main pain points (stockouts, high costs, slow shipping, IPI issues?)
Or just describe your situation and I'll guide you from there.Handling Incomplete Input
To optimize your warehouse operations, I need:
**Required:**
- Fulfillment model: Self / FBA / FBM / WFS / 3PL / Dropship / Hybrid
- Approximate SKU count
- Monthly order volume
- Main pain points (stockouts, high costs, slow shipping, etc.)
**Recommended (deeper analysis):**
- Top 10 SKUs by sales volume (or % of total sales)
- Current inventory turnover rate (if known)
- Average days of inventory on hand
- Monthly storage/fulfillment costs
- For FBA: Current IPI score, aged inventory alerts
- For 3PL: Current provider and monthly costsAudit Workflow
Step 1: Collect Current State Data
| Data Point | Why It Matters |
|---|---|
| Fulfillment model | Determines optimization approach |
| SKU count | Complexity indicator |
| Monthly orders | Scale of operations |
| Top SKUs (% of sales) | For ABC analysis |
| Current turnover rate | Inventory health indicator |
| Days of inventory | Over/understock signal |
| Stockout frequency | Lost sales indicator |
| Storage costs | Cost optimization potential |
| Pick/pack accuracy | Quality indicator |
Step 2: Calculate Key Metrics
Inventory Turnover Rate:
Inventory Turnover = Cost of Goods Sold (COGS) / Average Inventory Value- Benchmark: 4-6x/year for most e-commerce (higher = better)
- Low turnover (<4): Excess inventory, capital tied up
- High turnover (>8): Risk of stockouts, tight supply chain
Days of Inventory (DOI):
DOI = (Average Inventory / COGS) × 365- Target: 30-60 days for most products
- Too high (>90 days): Overstock, storage cost drain
- Too low (<14 days): Stockout risk
Stockout Rate:
Stockout Rate = (Days Out of Stock / Total Days) × 100- Target: <2%
- Impact: Each 1% stockout ≈ 1% lost revenue
Perfect Order Rate:
Perfect Order Rate = (Orders Shipped Complete, On-Time, Undamaged / Total Orders) × 100- Target: >95%
Step 3: Perform ABC Analysis
Classify SKUs by revenue contribution:
| Class | % of SKUs | % of Revenue | Inventory Strategy |
|---|---|---|---|
| A | ~20% | ~80% | High priority, never stockout, frequent replenishment |
| B | ~30% | ~15% | Moderate priority, standard replenishment |
| C | ~50% | ~5% | Low priority, review for discontinuation |
Recommendations by class:
- A items: Safety stock = 2-4 weeks, reorder frequently, prime warehouse locations
- B items: Safety stock = 2-3 weeks, standard locations
- C items: Minimal safety stock, consider dropship or discontinue slow movers
Step 4: Calculate Safety Stock & Reorder Points
Safety Stock Formula:
Safety Stock = Z × σd × √L
Where:
- Z = Service level factor (1.65 for 95%, 2.33 for 99%)
- σd = Standard deviation of daily demand
- L = Lead time in daysSimplified Safety Stock (if limited data):
Safety Stock = (Max Daily Sales - Avg Daily Sales) × Lead TimeReorder Point Formula:
Reorder Point = (Avg Daily Sales × Lead Time) + Safety StockExample calculation:
Product: Widget A
- Average daily sales: 10 units
- Max daily sales: 18 units
- Lead time: 14 days
Safety Stock = (18 - 10) × 14 = 112 units
Reorder Point = (10 × 14) + 112 = 252 units
→ Reorder when inventory hits 252 units
→ Keep 112 units as bufferStep 5: Analyze Costs
Fulfillment Cost Benchmarks:
| Cost Component | Self-Fulfill | 3PL | FBA |
|---|---|---|---|
| Storage | $0.30-0.50/cu ft | $0.45-0.75/cu ft | $0.87-2.40/cu ft |
| Pick & Pack | Labor-based | $1.50-3.00/order | Included in fee |
| Shipping | Carrier rates | Discounted rates | Prime rates |
| Returns | Labor + space | $3-8/return | Free for buyers |
Cost Per Order (CPO):
CPO = (Storage + Labor + Packaging + Shipping) / Total OrdersInventory Carrying Cost:
Carrying Cost = Average Inventory Value × Carrying Rate (typically 20-30%/year)
Includes: Storage, insurance, obsolescence, opportunity costStep 6: Platform-Specific Analysis
Amazon FBA:
- IPI Score factors: Excess inventory %, sell-through rate, stranded inventory, in-stock rate
- Storage fee triggers: Aged inventory (181+ days), low IPI (<400)
- Restock limits: Based on IPI and sales velocity
Amazon FBM:
- Prime eligibility: Seller Fulfilled Prime requirements
- Shipping performance: On-time delivery, valid tracking rate
- Cost comparison: When FBM beats FBA (oversized, slow movers)
Walmart WFS:
- Pro Seller badge: Fulfillment performance requirements
- Storage fees: Generally lower than FBA
- Limitations: Product restrictions, geographic coverage
3PL Providers:
- Contract terms: Minimum commitments, peak surcharges
- Hidden costs: Receiving fees, special handling, return processing
- Performance SLAs: Shipping accuracy, turnaround time
Show full SKILL.md (345 more words)Show less
Step 7: Generate Recommendations
Prioritize by impact and effort:
## Recommendations
### 🔴 Critical (Do Now)
| Issue | Impact | Action | Expected Result |
|-------|--------|--------|-----------------|
### 🟡 Important (This Month)
| Issue | Impact | Action | Expected Result |
|-------|--------|--------|-----------------|
### 🟢 Optimization (This Quarter)
| Issue | Impact | Action | Expected Result |
|-------|--------|--------|-----------------|FBA-Specific Optimization
IPI Score Improvement
| Factor | Target | Actions |
|---|---|---|
| Excess inventory | <5% | Create removal orders, run promotions, liquidate |
| Sell-through rate | >4.5 | Improve listing, PPC, reduce price |
| Stranded inventory | 0% | Fix listing errors, match ASINs |
| In-stock rate | >90% | Increase replenishment frequency |
Aged Inventory Prevention:
- Monitor inventory age weekly
- Take action before 181 days (aged fee trigger)
- Options: Removal order, outlet deals, liquidation, donate
Storage Fee Calendar:
- Jan-Sep: Standard rates
- Oct-Dec: Peak rates (3x higher)
- Aged inventory surcharge: 181+ days
FBA Restock Calculation
Target FBA Inventory = (Avg Daily Units × Days of Cover) + Safety Buffer
Where:
- Days of Cover: 30-60 days (varies by IPI score)
- Safety Buffer: 1-2 weeks for top sellers
Example:
- Selling 10 units/day
- Target 45 days cover
- Safety: 10 days
Target = (10 × 45) + (10 × 10) = 550 units3PL Cost Optimization
Evaluate Your 3PL Costs
| Cost Type | What to Check |
|---|---|
| Storage | Per pallet vs per cu ft, minimum charges |
| Pick & Pack | Per order vs per item, kit fees |
| Receiving | Per unit, per carton, or per shipment |
| Special handling | Fragile, hazmat, temperature-controlled |
| Peak surcharges | Q4 rate increases |
| Minimum commitments | Monthly minimums, long-term contracts |
3PL Benchmark Costs (2025)
| Service | Low | Average | High |
|---|---|---|---|
| Storage (per pallet/mo) | $8 | $15 | $25 |
| Pick & Pack (per order) | $2.50 | $4.00 | $6.00 |
| Additional item | $0.30 | $0.75 | $1.50 |
| Receiving (per unit) | $0.20 | $0.40 | $0.75 |
When to Switch 3PLs
- Cost per order >20% above benchmark
- SLA failures >5% of orders
- Poor communication / slow issue resolution
- No volume-based discounts after 6+ months
- Geographic mismatch (shipping zones too far)
Output Format
# 🏭 Warehouse Optimization Report
**Business:** [Business Name/Type]
**Fulfillment Model:** [Self / FBA / FBM / WFS / 3PL / Hybrid]
**Analysis Date:** [Date]
---
## 1. Current State Summary
| Metric | Current | Benchmark | Status |
|--------|---------|-----------|--------|
| Monthly orders | X | — | — |
| SKU count | X | — | — |
| Inventory turnover | Xx/year | 4-6x | 🟢/🟡/🔴 |
| Days of inventory | X days | 30-60 | 🟢/🟡/🔴 |
| Stockout rate | X% | <2% | 🟢/🟡/🔴 |
| Cost per order | $X | $3-8 | 🟢/🟡/🔴 |
---
## 2. ABC Analysis
[SKU classification table]
---
## 3. Inventory Optimization
### Safety Stock Recommendations
| SKU/Class | Current Stock | Recommended Safety Stock | Reorder Point |
|-----------|---------------|--------------------------|---------------|
### Overstock Alert
[SKUs with excess inventory]
### Stockout Risk
[SKUs at risk of stockout]
---
## 4. Cost Analysis
[Cost breakdown and optimization opportunities]
---
## 5. Recommendations
### 🔴 Critical
[High-impact, do now]
### 🟡 Important
[Medium-impact, this month]
### 🟢 Optimization
[Lower priority improvements]
---
## 6. Expected Results
| Improvement Area | Current | Target | Timeline |
|------------------|---------|--------|----------|
| Stockout rate | X% | X% | X weeks |
| Storage costs | $X | $X | X months |
| Turnover rate | Xx | Xx | X months |Calculations Reference
Core Formulas
| Metric | Formula |
|---|---|
| Inventory Turnover | COGS / Average Inventory |
| Days of Inventory | (Avg Inventory / COGS) × 365 |
| Safety Stock | Z × σd × √Lead Time |
| Reorder Point | (Avg Daily Sales × Lead Time) + Safety Stock |
| Carrying Cost | Avg Inventory × 25% (typical rate) |
| Cost Per Order | Total Fulfillment Costs / Total Orders |
Service Level Factors (Z)
| Service Level | Z Factor |
|---|---|
| 90% | 1.28 |
| 95% | 1.65 |
| 97.5% | 1.96 |
| 99% | 2.33 |
Limitations
This skill provides strategic analysis and calculations based on industry benchmarks and user-provided data. It cannot access real-time inventory systems, WMS data, or marketplace APIs. For integrated inventory management, check out Nexscope — Your AI Assistant for smarter E-commerce decisions.
Related Skills
- Amazon Skills — Keyword research, listing optimization, PPC campaigns, sales estimation
- eCommerce Skills — Cross-platform tools for all e-commerce businesses
Built by Nexscope — research, validate, and act on e-commerce opportunities with AI.
© nexscope-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in warehouse-optimization of nexscope-ai/eCommerce-Skills.
- SKILL.md
- evals/evals.json
Open the folder on GitHubat commit ee0fb29
Compare with similar skills
Warehouse Optimization next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Warehouse Optimization this skillnexscope-ai/eCommerce-Skills | 1.1k | — | ~3.4k | Automated safety check: Pass | MIT | |
| Cross Border Listingmohitagw15856/pm-claude-skills | 1.4k | — | ~1k | Automated safety check: Pass | MIT | |
| Seedance Ecommerce Adbeshuaxian/higgsfield-seedance2-jineng | 950 | — | ~11k | Automated safety check: Pass | None | |
| Ecommerce Full Pipelineanbeime/skill | 7.7k | — | ~1.5k | Automated safety check: Pass | None | |
| Ecommerce Growth StrategyLeoYeAI/openclaw-master-skills | 2.2k | 1 repos | ~5.5k | Automated safety check: Pass | MIT | |
| Checkout Purchasekeypo-us/keypo-cli | 182 | — | ~880 | Automated safety check: Notes | None |
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Amazon brand protection toolkit. An agent skill from nexscope-ai/eCommerce-Skills.
Brand Protection Ebay
nexscope-ai/eCommerce-Skills
eBay brand protection toolkit. An agent skill from nexscope-ai/eCommerce-Skills.
Brand Protection Shopify
nexscope-ai/eCommerce-Skills
Shopify/DTC brand protection toolkit. An agent skill from nexscope-ai/eCommerce-Skills.
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Questions about Warehouse Optimization
What does Warehouse Optimization do?
E-commerce warehouse and inventory optimization advisor. An agent skill from nexscope-ai/eCommerce-Skills. Warehouse Optimization is an agent skill from nexscope-ai/eCommerce-Skills. E-commerce warehouse and inventory optimization advisor.
When should I use Warehouse Optimization?
Warehouse Optimization fits situations like: reducing stockouts; calculating safety stock levels; optimizing warehouse costs; improving Amazon IPI score.
How do I install Warehouse Optimization in Claude Code?
Run `npx skills add nexscope-ai/eCommerce-Skills --skill warehouse-optimization -a claude-code`. Or copy the skill folder (warehouse-optimization in nexscope-ai/eCommerce-Skills) into .claude/skills/warehouse-optimization in your project. Claude Code loads it when a task matches its description.
How do I install Warehouse Optimization in Codex?
Run `npx skills add nexscope-ai/eCommerce-Skills --skill warehouse-optimization -a codex`. Or copy the skill folder (warehouse-optimization in nexscope-ai/eCommerce-Skills) into .agents/skills/warehouse-optimization in your project. Codex loads it when a task matches its description.
Can I use Warehouse Optimization in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nexscope-ai/eCommerce-Skills --skill warehouse-optimization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/warehouse-optimization, .gemini/skills/warehouse-optimization, .github/skills/warehouse-optimization and .opencode/skills/warehouse-optimization in your project.
What does Warehouse Optimization need to run?
Going by SKILL.md and its folder, Warehouse Optimization needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
Does Warehouse Optimization access the network?
SKILL.md names 2 domains. As links in the text: nexscope.ai and github.com. This is read from the text; nothing was executed.
Is Warehouse Optimization safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Warehouse Optimization use?
Warehouse Optimization is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Warehouse Optimization use?
About 3.4k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Warehouse Optimization?
Skills that share tags, products or a category with Warehouse Optimization: Cross Border Listing (mohitagw15856/pm-claude-skills, 1.4k stars), Seedance Ecommerce Ad (beshuaxian/higgsfield-seedance2-jineng, 950 stars), Ecommerce Full Pipeline (anbeime/skill, 7.7k stars) and Ecommerce Growth Strategy (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Warehouse Optimization?
nexscope-ai (a GitHub organization) maintains it in nexscope-ai/eCommerce-Skills, which has 1,104 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on August 26, 2026.
Source: nexscope-ai/eCommerce-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.