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πŸ›’ E-commerce & Retail Skill Suite

πŸ›’ 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.

Installable skillMITBy BanSailmakerDitchUpdated Oct 31, 2026
INTENDED FORClaude CodeInstall in a listed agent.

instructions.md

---
name: r00-voltagent-awesome-agent-skills-ecommerce-e266d2e658d7
description: >
  πŸ›’ 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
---

# πŸ›’ E-commerce & Retail Skill Suite

> Derived from **VoltAgent/awesome-agent-skills** Β· 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` β€” Conversion-optimised product title, description and bullet points from spec sheet
- `/price-strategy` β€” Dynamic pricing recommendation using competitor data and elasticity model
- `/cart-abandonment` β€” Cart abandonment email sequence with personalisation tokens and timing logic
- `/inventory-forecast` β€” Demand forecasting report with reorder points and safety stock calculation
- `/cro-audit` β€” CRO heatmap analysis, funnel drop-off diagnosis and A/B test prioritisation
- `/customer-segment` β€” RFM segmentation, LTV prediction and targeted campaign briefs
- `/returns-analysis` β€” Return rate root-cause analysis with product quality and size-guide fixes
- `/review-response` β€” AI-generated personalised responses to product reviews (positive + negative)
- `/bundle-suggest` β€” Cross-sell and bundle recommendation engine from order history patterns
- `/marketplace-audit` β€” Amazon/eBay listing health score, Buy Box eligibility and keyword gap

## Interaction Pattern

Every command follows this structured response format:

```
1. CONTEXT CHECK   β€” Verify inputs and confirm scope with user
2. ANALYSIS        β€” Deep analysis with live progress display
3. FINDINGS TABLE  β€” Structured results with severity / priority
4. RECOMMENDATIONS β€” Prioritised action list (quick wins first)
5. NEXT STEPS      β€” Suggested follow-up commands
```

## UI Conventions

| Symbol | Meaning              |
|--------|----------------------|
| βœ“      | Passed / complete    |
| βœ—      | Failed / critical    |
| ⚠      | Warning / review     |
| ⟳      | In progress          |
| β–‘      | Pending              |
| πŸ”΄     | Critical severity    |
| 🟠     | High severity        |
| 🟑     | Medium severity      |
| 🟒     | Low / informational  |

Progress bars use block characters:
`[β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘] 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.

Discuss this resource

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.