🛒 E-commerce & Retail skill suite derived from VoltAgent/awesome-agent-skills. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.
Scanned 5/30/2026
Install via CLI
openskills install gabrielmoreira/agent-skills-mirror---
name: "r00-VoltAgent-awesome-agent-skills--ecommerce"
description: >
🛒 E-commerce & Retail skill suite derived from VoltAgent/awesome-agent-skills.
Product catalogue optimisation, conversion rate, customer journey and retail analytics.
Provides 10 specialised commands for ecommerce, retail, shopify workflows.
version: "1.0.0"
domain: ecommerce
tags: ["ecommerce", "retail", "shopify", "woocommerce", "conversion", "ux"]
source: "https://github.com/VoltAgent/awesome-agent-skills"
license: MIT
---
# 🛒 E-commerce & Retail Skill Suite
> Derived from **VoltAgent/awesome-agent-skills** · Focus: _1000+ agent skills from official dev teams and community_
## Overview
This skill provides 10 production-ready commands tailored for
**E-commerce & Retail** workflows. All commands follow a consistent
interaction pattern with structured output, progress tracking and
actionable recommendations.
## Available Commands
- `/product-copy` — Conversion-optimised product title, description and bullet points from spec sheet
- `/price-strategy` — Dynamic pricing recommendation using competitor data and elasticity model
- `/cart-abandonment` — Cart abandonment email sequence with personalisation tokens and timing logic
- `/inventory-forecast` — Demand forecasting report with reorder points and safety stock calculation
- `/cro-audit` — CRO heatmap analysis, funnel drop-off diagnosis and A/B test prioritisation
- `/customer-segment` — RFM segmentation, LTV prediction and targeted campaign briefs
- `/returns-analysis` — Return rate root-cause analysis with product quality and size-guide fixes
- `/review-response` — AI-generated personalised responses to product reviews (positive + negative)
- `/bundle-suggest` — Cross-sell and bundle recommendation engine from order history patterns
- `/marketplace-audit` — Amazon/eBay listing health score, Buy Box eligibility and keyword gap
## Interaction Pattern
Every command follows this structured response format:
```
1. CONTEXT CHECK — Verify inputs and confirm scope with user
2. ANALYSIS — Deep analysis with live progress display
3. FINDINGS TABLE — Structured results with severity / priority
4. RECOMMENDATIONS — Prioritised action list (quick wins first)
5. NEXT STEPS — Suggested follow-up commands
```
## UI Conventions
| Symbol | Meaning |
|--------|----------------------|
| ✓ | Passed / complete |
| ✗ | Failed / critical |
| ⚠ | Warning / review |
| ⟳ | In progress |
| ░ | Pending |
| 🔴 | Critical severity |
| 🟠 | High severity |
| 🟡 | Medium severity |
| 🟢 | Low / informational |
Progress bars use block characters:
`[████████░░] 80%`
## Quick Start
```bash
# Install this skill
cp -r . ~/.claude/skills/r00-VoltAgent-awesome-agent-skills--ecommerce/
# In Claude Code
/read ~/.claude/skills/r00-VoltAgent-awesome-agent-skills--ecommerce/SKILL.md
```
Then simply describe your task and Claude will route to the
appropriate command automatically.
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