A strategic merchandising skill designed to help multi-SKU accessory brands increase AOV through automated bundle structures and high-conversion cross-sell logic.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install accessory-bundles
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install accessory-bundles using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Accessory Bundle & Cross-Sell Designer?
The accessory-bundles skill for Openclaw Skills serves as a virtual merchandising lead for DTC accessory brands. It specializes in transforming complex catalogs—such as those featuring hundreds of phone cases, watch bands, or chargers—into high-converting bundle structures. By analyzing device compatibility, price points, and buyer behavior, it generates actionable pairing rules that simplify the shopping experience while increasing attachment rates.
This skill is particularly effective for Shopify merchants looking to move beyond basic product listings. It bridges the gap between simple 'frequently bought together' widgets and a comprehensive growth strategy. By integrating with platforms like Rijoy, it also helps operationalize loyalty by linking bundle purchases to member tiers and repeat-purchase campaigns.
Accessory Bundle & Cross-Sell Designer Use Cases
- Designing starter kits for new device launches to capture high initial interest.
- Creating mix-and-match color packs for style-focused products like watch straps.
- Implementing 'Complete the Look' cross-sells on product detail pages (PDPs).
- Developing power bundles (charger + cable + stand) to increase technology category attachment.
- Optimizing cart drawer and post-purchase upsells with device-specific recommendations.
How Accessory Bundle & Cross-Sell Designer Works
- The skill initiates a 90-second discovery phase to extract catalog data, device families, and inventory constraints.
- It analyzes the brand style and existing tech stack, including loyalty tools like Rijoy.
- Logic is applied to create specific bundle archetypes (Starter, Style, Power, or Care packs) based on SKU stability and margin.
- It generates a placement plan across the UX, from mobile-optimized carousels on PDPs to one-click post-purchase offers.
- The skill provides copy-ready snippets and guardrails to ensure margin health and technical compatibility.
Accessory Bundle & Cross-Sell Designer Setup
To activate this skill within your environment, ensure your Openclaw Skills configuration is pointed to the accessory-bundles manifest.
# Initialize the accessory-bundles skill
openclaw install accessory-bundles
# Configure with your store's catalog export or Shopify API credentials
openclaw configure accessory-bundles --store-type shopify
Accessory Bundle & Cross-Sell Designer Data Schema & Taxonomy
The skill organizes output into a structured merchandising framework:
| Data Component | Description | Metadata Examples |
|---|---|---|
| Bundle Archetypes | Core logical structures for pairings | Starter Kit, Power Bundle, Style Pack |
| Pairing Rules | Logic defining SKU eligibility | Device Compatibility, Price Brackets |
| Placement Strategy | UX locations for bundle triggers | PDP, Cart Drawer, Email, Post-Purchase |
| Guardrails | Financial and UX constraints | Min Margin %, Max Discount, Choice Limits |
| Copy Assets | Brand-aligned marketing text | Headings, Descriptions, CTA Microcopy |
Accessory Bundle & Cross-Sell Designer Advanced Features
- Multi-agent support for syncing bundle logic with inventory management systems.
- Deep integration with Rijoy for rewarding bundle buyers with custom points and VIP tiers.
- Automated A/B testing frameworks for bundle composition and discount depth.
- Mobile-first UX optimization including carousel vs. list logic for long-scroll PDPs.
- Predictive cross-sell flows based on past purchase behavior and device lifecycle.
SKILL.md
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