Domains
Forms
Mechanism
Breaks down how the skill works and what it produces, so you can quickly judge whether it fits your scenario and value.
When the user provides any open Amazon product detail URL (e.g. /dp/{asin}) and wants full product data extraction — for competitive research, catalog audit, price/stock monitoring, or ASIN enrichment.
browser-act --session {name} eval "$(python scripts/extract-product-detail.py)" to execute encapsulated DOM scrapingA normalized product record with complete attributes, ratings, variants, BSR, and sample reviews — ready for datasets, monitoring, or competitive analysis.
Use Cases
An e-commerce analyst needs to audit a brand's 500 ASINs on Amazon.com for current price, stock, and BSR. They paste the list of product URLs; the skill navigates each in a reused browser session, runs the extract script with delays, and persists per-ASIN JSON. Output feeds a normalized catalog dataset, revealing price drift and out-of-stock risks without manual page checking.
A seller researching a competitor laptop listing pastes its Amazon URL to understand feature bullets, A+ content, variant ASINs, and monthly purchase volume. The skill returns the full record, letting them benchmark content strategy, identify variant gaps, and estimate demand — informing their own listing optimization and launch plan.
Skill Relationships
Dependency relationships read as "the upper tier points to the lower tier." The current Skill sits in the middle tier — above are Skills that depend on it, below are Skills it depends on.
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Skill File