Amazon Listing Competitor Analysis Skill
Helps users analyze Amazon competitor listings by ASIN and produce structured...
Install
npx skills add browser-act/skills --skill amazon-listing-competitor-analysis-skill -g -a claude-code -y- Repository
- browser-act/skills6.3k
- Category
- AI and agents
- Updated
- 2mo ago
- License
- MIT
- Context cost
- Mediumabout 2,946 tokens
- Runs scripts
- Yes, review before use
What it does
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.
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
- No hallucinations, ensuring stable and accurate data extraction: Pre-set workflows avoid AI generative hallucinations.
- No CAPTCHA issues: No need to handle reCAPTCHA or other verification challenges.
- No IP restrictions or geo-blocking: No need to deal with regional IP restrictions or geofencing.
- Faster execution: Tasks execute faster compared to purely AI-driven browser automation solutions.
- 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:
- ASIN
- Type:
string - Description: The ASIN (Amazon Standard Identification Number) of the Amazon product to analyze.
- Example:
B0CS62LY6P - Required: Yes
- Type:
