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Found 4,623 Skills
Shopping price comparison using Bright Data's web scraping infrastructure. Finds where a product is sold, for how much, and whether it's in stock — across Amazon, Walmart, eBay, Best Buy, Google Shopping, and any retailer URL — then ranks the offers into a single buy-recommendation table. Use this skill when the user wants to compare prices, find the cheapest place to buy something, do a price check, see "how much does X cost on Amazon vs Walmart", track an item's price, or decide where to buy a product. Handles product names, ASINs, and direct URLs, and is region-aware (country affects price, availability, and which retailers apply). This is consumer purchase-decision research — for analyzing a competitor's pricing *strategy*, use competitive-intel instead.
Calculate the full Amazon FBA fee stack and the true net profit and margin for a product, and compare FBA versus FBM on cost. Walks the referral fee, the FBA fulfillment fee by size tier and weight, dimensional weight, monthly and Q4 storage, long-term storage risk, inbound shipping, removal fees, and the optional cost lines, then returns net profit, net margin, and break-even ACoS. Use when a user asks to calculate FBA fees, profit per unit, net margin, break-even, whether a product is profitable, fulfillment cost, shipping cost, dimensional weight, storage fees, inbound shipping, removal fees, or to compare FBA versus FBM. Trigger phrases. "FBA calculator", "FBA fees", "profit per unit", "net margin", "break-even", "is this profitable", "shipping calculator", "fulfillment cost", "FBA vs FBM", "dimensional weight", "storage fees", "inbound shipping", "removal fees". Works with zero tools. the user provides price, cost, dimensions, weight, and rates.
Plan an Amazon Brand Store. designs the page structure, the navigation, the shoppable content, and the traffic plan so the Store works as a real branded destination, not a dead page. Use when a user asks about the Amazon Store, Brand Store, storefront design, store pages, shoppable images, or driving traffic to a store. Trigger phrases: "amazon store", "brand store", "storefront", "store design", "store pages", "shoppable images", "store traffic". Works with zero tools.
Analyze true Amazon profitability per ASIN and across a portfolio. Goes beyond per-unit fees to include advertising, returns, storage, promotions, and hidden fees, and finds where the real money is made and lost. Use when a user asks about profitability, true net profit, which products make money, why profit is lower than expected, portfolio profit analysis, or hidden fees eating margin. Trigger phrases: "profit analysis", "true profit", "net margin", "which products are profitable", "where is my money going", "hidden fees". Works with zero tools. the user pastes revenue, fee, and cost figures.
Build a complete Amazon product launch plan. the 30-day runway from go-live to established rank. Sequences the pre-launch checklist, the review ramp, the ad and deal cadence, the price strategy, and the daily and weekly milestones that turn a new listing into a ranking product. Use when a user asks how to launch a product on Amazon, a launch plan, a launch strategy, a launch checklist, a product launch timeline, or how to rank a new product. Trigger phrases: "launch plan", "launch strategy", "how to launch", "product launch", "launch checklist", "launch runway", "rank a new product". Works with zero tools.
Research and validate an Amazon product opportunity end to end, and evaluate whether the niche around it is winnable. Assesses demand, competition, profit potential, entry barriers, review wall, differentiation room, and seasonality, and returns a go/no-go with the reasoning. Use when a user asks to research a product, find a product to sell, validate a product idea, assess an opportunity, evaluate a niche, find a profitable niche, judge whether a category is worth entering, or compare niches. Trigger phrases: "product research", "find a product to sell", "validate this product", "is this a good product", "product opportunity", "should I sell this", "niche finder", "evaluate this niche", "is this niche worth it", "good niche", "low competition niche", "should I enter". Works with zero tools. the user describes the product and what they can observe.
Build the optimal 250-byte Amazon backend search term string. Collects every candidate keyword, removes anything already indexed in the title and bullets, strips duplicates and Amazon-prohibited terms, prioritizes by search value, and packs the field to the byte limit. Use when a user asks about backend keywords, search terms, the hidden keyword field, generic keywords, "Search Terms" in the listing back end, or wants to fix wasted backend space. Trigger phrases: "backend keywords", "search terms field", "hidden keywords", "250 bytes", "generic keywords". Works with zero tools. the user pastes the current title, bullets, and any keyword list.
Recover a suppressed, blocked, or deactivated Amazon listing. Maps the suppression reason code to the specific fix path and produces the reinstatement message. Use when a user asks about a suppressed listing, a blocked listing, listing deactivated, pricing error suppression, image policy, restricted phrase, or missing required field. Trigger phrases: "suppressed listing", "blocked listing", "listing deactivated", "pricing error", "image suppression", "restricted phrase". Works with zero tools. the user pastes the suppression notice.
Plan a complete Amazon product image set that converts. Builds the shot list for the main image and the gallery, designs each infographic, plans lifestyle scenes, and sets the order so the gallery answers objections in sequence. Use when a user asks about listing images, the main image, the photo gallery, infographics, lifestyle images, image order, or what photos a listing needs. Trigger phrases: "listing images", "main image", "product photos", "image gallery", "infographics", "lifestyle images", "shot list". Works with zero tools. the user describes the product and its buyers.
Audits AI-generated or AI-enhanced listing images against the 2026 Amazon disclosure and representation policy before submission. A 5-gate flow catches the issues that trigger suppression or a misrepresentation flag. Use when a user asks about AI image policy, AI photo rules, image suppression, or 2026 image compliance. Trigger phrases: "AI image Amazon policy", "AI generated photos listing", "image suppression AI", "Amazon AI image rules 2026". Works with zero tools.
Plan and write conversion-grade Amazon A+ Content (formerly called Enhanced Brand Content, renamed in 2019), including Premium A+ tier modules (video, carousel, interactive hotspots, larger comparison chart, Q&A) and the Brand Story carousel that runs across the catalog. Selects the right module layout, writes persuasive module copy, designs the comparison chart, and produces designer-ready image briefs. Use when a user asks to create, plan, improve, or audit A+ Content, Enhanced Brand Content, Premium A+, brand story modules, comparison charts, interactive A+ modules, A+ video, or the visual section below the bullet points on an Amazon listing. Trigger phrases include "A+ content", "EBC", "enhanced brand content", "brand story module", "comparison chart", "below the fold", "premium A+", "brand story", "A+ video", "interactive modules", "premium content". Works with zero tools. the user describes the product and pastes any existing copy.
Plan Amazon Brand Tailored Promotions. targeted discounts sent to specific shopper audiences such as repeat customers, recent customers, brand followers, cart abandoners, and high-spend shoppers. Picks the right audience, the right discount depth, and the right goal for each promotion. Use when a user asks about Brand Tailored Promotions, targeting past customers with a discount, re-engaging repeat buyers, rewarding brand followers, or winning back lapsed customers. Trigger phrases: "brand tailored promotions", "BTP", "target repeat customers", "win back customers", "brand follower discount". Works with zero tools. the user describes their brand and audience sizes.