amazon-listing-competitor-analysis-skill
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
npx skills add browser-act/skills --skill amazon-listing-competitor-analysis-skill --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- 📖 Brief
- ✨ Features
- 🔑 API Key Guide
- 🛠️ Input Parameters
- 🚀 Invocation Method
- ⏳ Running Status Monitoring
- 📊 Data Output
- ⚠️ Error Handling & Retry
- 🌟 Typical Use Cases
- 🧠 Competitive Analysis Framework (Phase 2)
- Layer 1 — What the Competitor Did Right
- Layer 2 — What the Market Lacks
- Required Output Format (Phase 2)
python -u ./scripts/amazon_listing_competitor_analysis.py "B0CS62LY6P" "https://www.amazon.com/"
What does the amazon-listing-competitor-analysis-skill skill do?
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
How do I install it?
Run `npx skills add browser-act/skills --skill amazon-listing-competitor-analysis-skill --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.