productOptimizer

Autonomous BigCommerce product content optimizer. Bulk-update, rewrite, optimize, or generate product titles and descriptions on a BigCommerce store. Trigger...

BigCommerce Content Optimizer

Autonomous skill that fetches products from a BigCommerce store, generates optimized titles and descriptions, and updates them back — one page at a time with full progress tracking.

Prerequisites

The user must provide:

1. Store Hash — the BigCommerce store identifier (e.g., abc123def)
2. API Token — a BigCommerce API v3 token with Products read+write scope

Setup

Before first use, install the requests library:

pip install requests --break-system-packages

The helper script is at: ~/.openclaw/workspace/skills/bigcommerce-content-optimizer/scripts/bc_optimizer.py

Set SCRIPT as the full path to bc_optimizer.py for all commands below.

Workflow — Autonomous Loop

CRITICAL: Do NOT stop between pages. Process ALL pages continuously until done.

Step 1: Initialize

python3 $SCRIPT init --store-hash "STORE_HASH" --token "API_TOKEN" --limit 10

This creates progress.json in the current working directory and returns total product/page counts. If progress.json already exists with status: in_progress, it resumes from the last unprocessed page.

Step 2: For EACH page (loop until all done)

2a. Fetch the page

python3 $SCRIPT fetch --store-hash "STORE_HASH" --token "API_TOKEN" --page PAGE_NUMBER --limit 10

Outputs page_N_products.json with product data.

2b. Read products and generate content

Read the fetched JSON. For EACH product, generate:

• New Title: SEO-friendly, concise, under 70 characters. Capture the product essence.
• New Description: Compelling HTML description, 100-300 words. Use <p>, <ul>, <li> tags. Focus on benefits, use cases, value proposition. No inline styles, no scripts.

Consider: existing name/description, SKU, price, categories, brand, images. Apply SEO best practices (natural keywords, not stuffing) and persuasive copywriting. If the user gave brand voice guidelines, follow them.

Write the output as page_N_updates.json:

[
  {
    "id": 123,
    "name": "New Product Title",
    "description": "<p>New compelling description...</p>"
  }
]

2c. Push updates

python3 $SCRIPT update --store-hash "STORE_HASH" --token "API_TOKEN" --updates-file page_N_updates.json

Updates each product and logs success/failure to progress.json.

2d. Report and continue

After each page, briefly state:

• Page X of Y complete
• N products updated, N failed

Then IMMEDIATELY proceed to the next page. Do NOT wait for user input.

Step 3: Completion

When all pages are done:

python3 $SCRIPT report

Print the final summary: total processed, successes, failures, time taken.

Rules

1. Never stop mid-run — process all pages continuously unless an unrecoverable error occurs
2. Always use progress.json — if re-invoked, resume from where you left off
3. Rate limiting — the script handles BigCommerce rate limits with automatic retry
4. Error handling — if one product fails, log it and continue to the next
5. Content quality — every title and description must be meaningfully improved, not just rephrased
6. HTML safety — descriptions use clean simple HTML only (<p>, <ul>, <li>, <strong>, <em>)
7. One page at a time — fetch, generate, update, then move to next page

Progress Tracker

progress.json tracks everything:

{
  "store_hash": "abc123",
  "total_products": 150,
  "total_pages": 15,
  "products_per_page": 10,
  "started_at": "2025-01-01T00:00:00Z",
  "pages_completed": [1, 2, 3],
  "products_updated": [],
  "products_failed": [],
  "current_page": 4,
  "status": "in_progress"
}