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Model Context Protocol · By xjli360
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 97 | 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/ | 251 | — | ~699 | Automated safety check: Pass | MIT | 13 days ago |
| 98 | 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/ | 251 | — | ~726 | Automated safety check: Pass | MIT | 13 days ago |
| 99 | 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/ | 251 | — | ~689 | Automated safety check: Pass | MIT | 13 days ago |
| 100 | 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/ | 251 | — | ~747 | Automated safety check: Pass | MIT | 13 days ago |
| 101 | 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/ | 251 | — | ~783 | Automated safety check: Pass | MIT | 13 days ago |
| 102 | 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/ | 251 | — | ~757 | Automated safety check: Pass | MIT | 13 days ago |
| 103 | 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/ | 251 | — | ~741 | Automated safety check: Pass | MIT | 13 days ago |
| 104 | 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/ | 251 | — | ~818 | Automated safety check: Pass | MIT | 13 days ago |
| 105 | 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/ | 251 | — | ~785 | Automated safety check: Pass | MIT | 13 days ago |
| 106 | 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/ | 251 | — | ~748 | Automated safety check: Pass | MIT | 13 days ago |
| 107 | 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/ | 251 | — | ~824 | Automated safety check: Pass | MIT | 13 days ago |
| 108 | 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/ | 251 | — | ~804 | Automated safety check: Pass | MIT | 13 days ago |
| 109 | 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/ | 251 | — | ~807 | Automated safety check: Pass | MIT | 13 days ago |
| 110 | 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/ | 251 | — | ~756 | Automated safety check: Pass | MIT | 13 days ago |
| 111 | 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/ | 251 | — | ~841 | Automated safety check: Pass | MIT | 13 days ago |
| 112 | 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/ | 251 | — | ~875 | Automated safety check: Pass | MIT | 13 days ago |
| 113 | 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/ | 251 | — | ~811 | Automated safety check: Pass | MIT | 13 days ago |
| 114 | Benchmark Amazon niche ad efficiency by comparing visible advertising breadth, estimated sales, review cohorts, CPC, and conversion economics. | xjli360/ | 251 | — | ~525 | Automated safety check: Pass | MIT | 13 days ago |
| 115 | Create a guarded Amazon Ads launch plan that prioritizes query relevance, listing alignment, conversion evidence, and capped learning spend. | xjli360/ | 251 | — | ~546 | Automated safety check: Pass | MIT | 13 days ago |
| 116 | Govern AI-assisted Amazon product research by separating automatable evidence work from human commercial judgment. | xjli360/ | 251 | — | ~538 | Automated safety check: Pass | MIT | 13 days ago |
| 117 | Discover Amazon product opportunities by starting with a clearly defined audience and mapping recurring work, life, event, and gifting needs. | xjli360/ | 251 | — | ~491 | Automated safety check: Pass | MIT | 13 days ago |
| 118 | Build a compact Amazon Ads launch keyword set that combines controlled broad discovery with exact intent capture. | xjli360/ | 251 | — | ~518 | Automated safety check: Pass | MIT | 13 days ago |
| 119 | Reposition mature commodity products into differentiated bulk, kit, gifting, or event solutions without unnecessary tooling. | xjli360/ | 251 | — | ~499 | Automated safety check: Pass | MIT | 13 days ago |
| 120 | Diagnose weak Amazon conversion in a fixed order from offer and detail-page fundamentals to traffic quality and market ceiling. | xjli360/ | 251 | — | ~508 | Automated safety check: Pass | MIT | 13 days ago |
| 121 | Estimate a defensible pre-launch conversion range from Amazon first-party opportunity data, competitor traffic proxies, and unit economics. | xjli360/ | 251 | — | ~552 | Automated safety check: Pass | MIT | 13 days ago |
| 122 | Run a fast Amazon opportunity gate using precise-query CPC, defensible conversion scenarios, visible differentiation, and unit economics. | xjli360/ | 251 | — | ~530 | Automated safety check: Pass | MIT | 13 days ago |
| 123 | Use material, feature, audience, occasion, style, and scenario keywords to discover Amazon opportunities across categories. | xjli360/ | 251 | — | ~504 | Automated safety check: Pass | MIT | 13 days ago |
| 124 | Backtrack from a hot Amazon product to the audience, occasion, event, or scenario that created demand, then expand adjacent opportunities. | xjli360/ | 251 | — | ~479 | Automated safety check: Pass | MIT | 13 days ago |
| 125 | Plan compliant Amazon variation expansion or diagnose changes in shared reviews, ratings and review counts. | xjli360/ | 251 | — | ~562 | Automated safety check: Pass | MIT | 13 days ago |
| 126 | Match a factory's materials, processes, tooling, MOQ, and quality capabilities to lower-competition Amazon use cases. | xjli360/ | 251 | — | ~510 | Automated safety check: Pass | MIT | 13 days ago |
| 127 | Screen a beginner's first Amazon product for a small, low-review niche with defensible paid-traffic economics. | xjli360/ | 251 | — | ~497 | Automated safety check: Pass | MIT | 13 days ago |
| 128 | Evaluate whether a higher-priced Amazon offer creates enough contribution margin to absorb paid traffic and operational risk. | xjli360/ | 251 | — | ~494 | Automated safety check: Pass | MIT | 13 days ago |
| 129 | Validate whether an Amazon niche with dominant old listings still admits low-review new entrants. | xjli360/ | 251 | — | ~499 | Automated safety check: Pass | MIT | 13 days ago |
| 130 | Determine whether an Amazon product can economically tolerate the market's CPC and conversion environment before trying to optimize ACoS. | xjli360/ | 251 | — | ~540 | Automated safety check: Pass | MIT | 13 days ago |
| 131 | Screen Amazon niche opportunities for precise demand, low competitive density, conservative paid-traffic profitability, and small-batch inventory fit. | xjli360/ | 251 | — | ~503 | Automated safety check: Pass | MIT | 13 days ago |
| 132 | Build an Amazon product, audience, and use-case knowledge map before making product decisions. | xjli360/ | 251 | — | ~491 | Automated safety check: Pass | MIT | 13 days ago |
| 133 | Run an eight-gate Amazon product selection audit covering discoverability, operating difficulty, economics, differentiation, timing, seasonality, compliance, and inventory. | xjli360/ | 251 | — | ~528 | Automated safety check: Pass | MIT | 13 days ago |
| 134 | Choose a compliant Amazon validation method based on whether the uncertainty is concept acceptance, marketplace conversion, or paid-traffic economics. | xjli360/ | 251 | — | ~517 | Automated safety check: Pass | MIT | 13 days ago |
| 135 | Reposition an existing Amazon product resource into a more defensible audience, occasion, or use-case market. | xjli360/ | 251 | — | ~496 | Automated safety check: Pass | MIT | 13 days ago |
| 136 | Operate Amazon Ads for a small-inventory portfolio around a profit boundary rather than rank maximization. | xjli360/ | 251 | — | ~516 | Automated safety check: Pass | MIT | 13 days ago |
| 137 | Find defensible micro-niches inside a crowded Amazon category by combining low-review recent winners with precise design, attribute, or use-case terms. | xjli360/ | 251 | — | ~516 | Automated safety check: Pass | MIT | 13 days ago |
| 138 | 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/ | 251 | — | ~523 | Automated safety check: Pass | MIT | 13 days ago |
| 139 | Discover Amazon product opportunities by extracting scenario, audience, activity, and occasion terms from unusual listings. | xjli360/ | 251 | — | ~506 | Automated safety check: Pass | MIT | 13 days ago |
| 140 | Design low-capex Amazon differentiation by repositioning an existing product for a specific audience, occasion, or use case. | xjli360/ | 251 | — | ~506 | Automated safety check: Pass | MIT | 13 days ago |
| 141 | Screen Amazon product ideas for low-review seasonal niches with clear query intent, manageable competition, entry timing, and paid-traffic economics. | xjli360/ | 251 | — | ~545 | Automated safety check: Pass | MIT | 13 days ago |
| 142 | Discover seasonal Amazon micro-niches from accelerating, moderate-volume keywords and then expand from the underlying event scenario. | xjli360/ | 251 | — | ~504 | Automated safety check: Pass | MIT | 13 days ago |
| 143 | Plan a compliant multi-year lifecycle for seasonal Amazon products using early entry, controlled inventory, valid variations, and year-over-year evidence. | xjli360/ | 251 | — | ~520 | Automated safety check: Pass | MIT | 13 days ago |
| 144 | Build a year-round Amazon portfolio calendar around seasonal, holiday, social-event, and bulk-purchase demand. | xjli360/ | 251 | — | ~503 | Automated safety check: Pass | MIT | 13 days ago |
