name: amazon-listing-competitor-analysis-skill

description: "This skill helps users analyze Amazon competitor listings by ASIN and produce structured competitive intelligence plus strategic opportunity points for their own go-to-market. The Agent should proactively apply this skill when users want to analyze a competitor Amazon listing by ASIN, understand what a top-ranked product does right in content keywords or visuals, find market gaps and unmet buyer needs, turn competitor research into opportunity maps for their brand, identify keyword placement patterns on rival listings, extract SEO insights from Amazon product pages, reverse-engineer competitor bullet and title strategies, mine competitor reviews for buyer psychology, compare seller and A plus content patterns, run gap analysis before launching a new SKU, research why a listing wins conversion signals, synthesize whitespace you can own versus the diagnosed listing, or say just look at this ASIN with a competitive or optimization angle."

metadata: {"openclaw":{"emoji":"🌐","requires":{"bins":["python"],"env":["BROWSERACTAPIKEY"]}}}

Amazon Listing Competitor Analysis

📖 Brief

This skill runs a two-phase workflow on a single competitor Amazon listing. Phase 1 uses the BrowserAct Amazon Listing Extractor for SEO template to pull visible product data from that listing. Phase 2 diagnoses what that competitor does well and where the market shows gaps, then closes with your strategic opportunity points (how you can win next to them). Do not end with instructions that read like editing or rewriting this competitor's listing; the analyzed ASIN is evidence only. Final narrative output should be grounded in extracted data, not generic claims.

✨ Features

1. No hallucinations, ensuring stable and accurate data extraction: Pre-set workflows avoid AI generative hallucinations.
2. No CAPTCHA issues: No need to handle reCAPTCHA or other verification challenges.
3. No IP restrictions or geo-blocking: No need to deal with regional IP restrictions or geofencing.
4. Faster execution: Tasks execute faster compared to purely AI-driven browser automation solutions.
5. Extremely high cost-efficiency: Significantly reduces data acquisition costs compared to AI solutions that consume massive amounts of tokens.

🔑 API Key Guide

Before running, you must check the BROWSERACT_API_KEY environment variable. If it is not set, do not take other actions first; you should ask and wait for the user to provide it.

Agent must inform the user:

"Since you haven't configured the BrowserAct API Key yet, please go to the BrowserAct Console to get your Key."

🛠️ Input Parameters

When calling the script, the Agent should flexibly configure the following parameters based on user needs:

1. ASIN

• Type: string
• Description: The ASIN (Amazon Standard Identification Number) of the Amazon product to analyze.
• Example: B0CS62LY6P
• Required: Yes

1. Marketplace_url

• Type: string
• Description: The base URL of the Amazon marketplace. Use the correct regional site for the listing.
• Example: https://www.amazon.com/, https://www.amazon.de/
• Default: https://www.amazon.com/

🚀 Invocation Method

Run Phase 1 extraction with the script below. After structured data is returned, the Agent performs Phase 2 analysis using the framework in Competitive Analysis Framework (Phase 2). The closing section must synthesize opportunity points for the user's business, not a checklist of edits applied to the competitor page under review.

python -u ./scripts/amazon_listing_competitor_analysis.py "B0CS62LY6P" "https://www.amazon.com/"

When only the ASIN is needed, the marketplace argument may be omitted; the script defaults to https://www.amazon.com/.

⏳ Running Status Monitoring

Since this task involves automated browser operations, it may take a long time (several minutes). The script will continuously output status logs with timestamps while running (e.g., [14:30:05] Task Status: running).

Agent guidelines:

• While waiting for the script to return results, please keep an eye on the terminal output.
• As long as the terminal continues to output new status logs, it means the task is running normally. Do not misjudge it as a deadlock or unresponsiveness.
• If the status remains unchanged for a long time or the script stops outputting without returning a result, only then consider triggering the retry mechanism.

📊 Data Output

Upon successful execution, the script prints the API result string (or full task JSON if no string field is present). Typical fields include:

• asin, title, product_url, brand, price, coupon_text, rating, review_count, best_sellers_rank, availability, prime_eligible
• description, short_description, category, `key_featur