AI model or service
Model Context Protocol agent skills, page 108
Model Context Protocol skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 5137 | Build a multi-dimension scorecard from the current top-ranked listings in a target category, covering image and variant coverage, review sentiment gaps, category-specific packaging or authenticity… | xjli360/ | 240 | — | ~843 | Automated safety check: Pass | MIT | 10 days ago |
| 5138 | Sequence supplier discovery for an individual or small-team seller from broad online factory mapping, to phone screening, to selective on-site visits, to trade-show and community sourcing, so… | xjli360/ | 240 | — | ~796 | Automated safety check: Pass | MIT | 10 days ago |
| 5139 | Identify a narrow, non-commodity niche with pricing power by mining audience comments on public content for unmet demand and mystique-driven positioning, then build a low-cost off-Amazon content… | xjli360/ | 240 | — | ~825 | Automated safety check: Pass | MIT | 10 days ago |
| 5140 | Mine overseas social content and comment sections for small, trend-driven, non-seasonal product leads, validate the opportunity by checking seller count, market-wide listing freshness and traffic… | xjli360/ | 240 | — | ~836 | Automated safety check: Pass | MIT | 10 days ago |
| 5141 | Mine differentiation angles for a saturated Amazon category by tracing how a best-seller spawned derivative shapes, testing color and style fit with target-market home aesthetics, and extracting… | xjli360/ | 240 | — | ~802 | Automated safety check: Pass | MIT | 10 days ago |
| 5142 | Run an agentic AI keyword research workflow for an Amazon product: start with the simplest prompt, add raw keyword exports and explicit context, require intent-segregated output against an… | xjli360/ | 240 | — | ~685 | Automated safety check: Pass | MIT | 10 days ago |
| 5143 | Use an agentic AI workflow on raw Amazon keyword exports and customer feedback to locate shopper-intent gaps with demand but weak supply, then produce a product definition, unit economics, and… | xjli360/ | 240 | — | ~699 | Automated safety check: Pass | MIT | 10 days ago |
| 5144 | Build a launch or relaunch keyword master list for an Amazon product by reverse-searching organically ranked comparable competitors, filtering to a focused core set, and grouping terms by buyer… | xjli360/ | 240 | — | ~726 | Automated safety check: Pass | MIT | 10 days ago |
| 5145 | Iterate Amazon primary images as a continuous experiment: mine search term and performance data for click-through hypotheses, generate compliant image variants with AI, and validate through Manage… | xjli360/ | 240 | — | ~689 | Automated safety check: Pass | MIT | 10 days ago |
| 5146 | Plan an evidence-gated push for organic rank on a target Amazon keyword by first benchmarking CTR and conversion, then layering top-of-search Sponsored Brands, dedicated Sponsored Products ranking… | xjli360/ | 240 | — | ~747 | Automated safety check: Pass | MIT | 10 days ago |
| 5147 | Prepare, submit and verify Amazon A+ content, Brand Story and product video for a listing: confirm eligibility and module set, benchmark competitor page structure, brief creative assets in the… | xjli360/ | 240 | — | ~783 | Automated safety check: Pass | MIT | 10 days ago |
| 5148 | Build a per-unit profit model for an FBA product from selling price, sourcing cost, first-mile cost, fulfilment fee, referral fee and other fees, and derive gross margin, net payout and the… | xjli360/ | 240 | — | ~757 | Automated safety check: Pass | MIT | 10 days ago |
| 5149 | Reverse-look-up the keyword footprints of top competing ASINs, score each term by relevance weight and rank stability, monitor competitor and own keyword ranks over several days, and build a staged… | xjli360/ | 240 | — | ~741 | Automated safety check: Pass | MIT | 10 days ago |
| 5150 | Build a listing image script from competitor review insights and traffic keywords—relevance, value proposition and call to action in the first frames, then scenes, details, care and sizing with… | xjli360/ | 240 | — | ~818 | Automated safety check: Pass | MIT | 10 days ago |
| 5151 | Read keyword-research tool output correctly: prefer multi-month search and purchase-rate history over last-month snapshots, interpret search-result counts as a loose competition proxy, spot head… | xjli360/ | 240 | — | ~785 | Automated safety check: Pass | MIT | 10 days ago |
| 5152 | Sequence a new seller's first launch—account document readiness, product decision, keyword-to-listing preparation, an FBA-first test shipment, compliant review acquisition, the first Sponsored… | xjli360/ | 240 | — | ~748 | Automated safety check: Pass | MIT | 10 days ago |
| 5153 | Turn a product candidate into unit economics: pull sourcing quotes by feature configuration, set the target price from the market band and coupon practice, run a profit calculator with an explicit… | xjli360/ | 240 | — | ~824 | Automated safety check: Pass | MIT | 10 days ago |
| 5154 | Calibrate third-party keyword and sales-estimate tools against each other: run the same keyword and the same high-volume ASIN through several tools, compare search volume, estimated monthly sales… | xjli360/ | 240 | — | ~804 | Automated safety check: Pass | MIT | 10 days ago |
| 5155 | Run a pre-order risk check for a new private-label seller: validate demand with estimated-sales evidence, size the first order conservatively from comparable-listing velocity, reserve an advertising… | xjli360/ | 240 | — | ~807 | Automated safety check: Pass | MIT | 10 days ago |
| 5156 | Configure an AI coding/agent tool with a third-party Amazon-data MCP connector to retrieve category, ASIN sales-structure, keyword, review, and price-band evidence, and drive a structured… | xjli360/ | 240 | — | ~756 | Automated safety check: Pass | MIT | 10 days ago |
| 5157 | Restructure product titles from keyword-stuffed strings into a semantically ordered two-part layout (brand plus core category and attributes first, then differentiating function and use-case terms)… | xjli360/ | 240 | — | ~841 | Automated safety check: Pass | MIT | 10 days ago |
| 5158 | When order volume drops during a period with multiple concurrent changes (an external ad-channel disruption, a tightened compliance review cycle, and warehouse or inbound congestion), evaluate each… | xjli360/ | 240 | — | ~875 | Automated safety check: Pass | MIT | 10 days ago |
| 5159 | Diagnose why an Amazon promotion submission is rejected on reference-price/regular-price eligibility grounds, and work through a sequence of compliant adjustments (promo-duration pacing, tool… | xjli360/ | 240 | — | ~811 | Automated safety check: Pass | MIT | 10 days ago |
| 5160 | Benchmark Amazon niche ad efficiency by comparing visible advertising breadth, estimated sales, review cohorts, CPC, and conversion economics. | xjli360/ | 240 | — | ~525 | Automated safety check: Pass | MIT | 10 days ago |
| 5161 | Create a guarded Amazon Ads launch plan that prioritizes query relevance, listing alignment, conversion evidence, and capped learning spend. | xjli360/ | 240 | — | ~546 | Automated safety check: Pass | MIT | 10 days ago |
| 5162 | Govern AI-assisted Amazon product research by separating automatable evidence work from human commercial judgment. | xjli360/ | 240 | — | ~538 | Automated safety check: Pass | MIT | 10 days ago |
| 5163 | Discover Amazon product opportunities by starting with a clearly defined audience and mapping recurring work, life, event, and gifting needs. | xjli360/ | 240 | — | ~491 | Automated safety check: Pass | MIT | 10 days ago |
| 5164 | Build a compact Amazon Ads launch keyword set that combines controlled broad discovery with exact intent capture. | xjli360/ | 240 | — | ~518 | Automated safety check: Pass | MIT | 10 days ago |
| 5165 | Reposition mature commodity products into differentiated bulk, kit, gifting, or event solutions without unnecessary tooling. | xjli360/ | 240 | — | ~499 | Automated safety check: Pass | MIT | 10 days ago |
| 5166 | Diagnose weak Amazon conversion in a fixed order from offer and detail-page fundamentals to traffic quality and market ceiling. | xjli360/ | 240 | — | ~508 | Automated safety check: Pass | MIT | 10 days ago |
| 5167 | Estimate a defensible pre-launch conversion range from Amazon first-party opportunity data, competitor traffic proxies, and unit economics. | xjli360/ | 240 | — | ~552 | Automated safety check: Pass | MIT | 10 days ago |
| 5168 | Run a fast Amazon opportunity gate using precise-query CPC, defensible conversion scenarios, visible differentiation, and unit economics. | xjli360/ | 240 | — | ~530 | Automated safety check: Pass | MIT | 10 days ago |
| 5169 | Use material, feature, audience, occasion, style, and scenario keywords to discover Amazon opportunities across categories. | xjli360/ | 240 | — | ~504 | Automated safety check: Pass | MIT | 10 days ago |
| 5170 | Backtrack from a hot Amazon product to the audience, occasion, event, or scenario that created demand, then expand adjacent opportunities. | xjli360/ | 240 | — | ~479 | Automated safety check: Pass | MIT | 10 days ago |
| 5171 | Plan compliant Amazon variation expansion or diagnose changes in shared reviews, ratings and review counts. | xjli360/ | 240 | — | ~562 | Automated safety check: Pass | MIT | 10 days ago |
| 5172 | Match a factory's materials, processes, tooling, MOQ, and quality capabilities to lower-competition Amazon use cases. | xjli360/ | 240 | — | ~510 | Automated safety check: Pass | MIT | 10 days ago |
| 5173 | Screen a beginner's first Amazon product for a small, low-review niche with defensible paid-traffic economics. | xjli360/ | 240 | — | ~497 | Automated safety check: Pass | MIT | 10 days ago |
| 5174 | Evaluate whether a higher-priced Amazon offer creates enough contribution margin to absorb paid traffic and operational risk. | xjli360/ | 240 | — | ~494 | Automated safety check: Pass | MIT | 10 days ago |
| 5175 | Validate whether an Amazon niche with dominant old listings still admits low-review new entrants. | xjli360/ | 240 | — | ~499 | Automated safety check: Pass | MIT | 10 days ago |
| 5176 | Determine whether an Amazon product can economically tolerate the market's CPC and conversion environment before trying to optimize ACoS. | xjli360/ | 240 | — | ~540 | Automated safety check: Pass | MIT | 10 days ago |
| 5177 | Screen Amazon niche opportunities for precise demand, low competitive density, conservative paid-traffic profitability, and small-batch inventory fit. | xjli360/ | 240 | — | ~503 | Automated safety check: Pass | MIT | 10 days ago |
| 5178 | Build an Amazon product, audience, and use-case knowledge map before making product decisions. | xjli360/ | 240 | — | ~491 | Automated safety check: Pass | MIT | 10 days ago |
| 5179 | Run an eight-gate Amazon product selection audit covering discoverability, operating difficulty, economics, differentiation, timing, seasonality, compliance, and inventory. | xjli360/ | 240 | — | ~528 | Automated safety check: Pass | MIT | 10 days ago |
| 5180 | Choose a compliant Amazon validation method based on whether the uncertainty is concept acceptance, marketplace conversion, or paid-traffic economics. | xjli360/ | 240 | — | ~517 | Automated safety check: Pass | MIT | 10 days ago |
| 5181 | Reposition an existing Amazon product resource into a more defensible audience, occasion, or use-case market. | xjli360/ | 240 | — | ~496 | Automated safety check: Pass | MIT | 10 days ago |
| 5182 | Operate Amazon Ads for a small-inventory portfolio around a profit boundary rather than rank maximization. | xjli360/ | 240 | — | ~516 | Automated safety check: Pass | MIT | 10 days ago |
| 5183 | Find defensible micro-niches inside a crowded Amazon category by combining low-review recent winners with precise design, attribute, or use-case terms. | xjli360/ | 240 | — | ~516 | Automated safety check: Pass | MIT | 10 days ago |
| 5184 | Route Amazon product research across six portfolio lanes: niche demand, extensible variations, bulky high-value items, regulated or high-barrier products, seasonal events, and higher-ticket bundles. | xjli360/ | 240 | — | ~523 | Automated safety check: Pass | MIT | 10 days ago |
