An autonomous AI agent skill that fetches, rewrites, and updates BigCommerce product content for improved search rankings and conversions.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install viq-bc-optimiser
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install viq-bc-optimiser using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The BigCommerce Content Optimizer is a specialized tool within the Openclaw Skills ecosystem designed to handle large-scale catalog management. It functions as an autonomous worker that bridges the gap between raw product data and high-converting marketing copy. By leveraging your BigCommerce API credentials, the skill fetches product details, applies SEO-driven rewriting logic, and pushes updates back to your store in a continuous, automated loop.
This skill is particularly valuable for merchants who need to modernize their store listings or fix inconsistent product descriptions across hundreds or thousands of SKUs. It ensures that every product has a concise, search-friendly title and a compelling, benefit-driven HTML description, all while maintaining strict adherence to BigCommerce's technical requirements and rate limits.
To begin using this skill within Openclaw Skills, you must first install the required Python requests library:
pip install requests --break-system-packages
You will need a BigCommerce API Token with Products read+write scope and your Store Hash. Initialize the autonomous loop using the following command structure:
python3 bc_optimizer.py init --store-hash "YOUR_STORE_HASH" --token "YOUR_API_TOKEN" --limit 10
The skill maintains a structured workflow using localized JSON files to ensure data integrity and process tracking.
| File Name | Description | Key Fields |
|---|---|---|
progress.json |
The primary state tracker | store_hash, total_pages, current_page, status, products_failed |
page_N_products.json |
Raw data fetch | original_id, name, description, SKU, categories |
page_N_updates.json |
Prepared AI content | product_id, optimized_name, html_description |
<p> and <ul> are pushed to your storefront.Loading
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