Claude Skills
The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 600 files from 1 763 authors, of which 61 947 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
Reposition mature commodity products into differentiated bulk, kit, gifting, or event solutions without unnecessary tooling. Use when a seller has accessible commodity supply but lacks a defensible Amazon use case.
Estimate a defensible pre-launch conversion range from Amazon first-party opportunity data, competitor traffic proxies, and unit economics. Use when a product appears profitable only under an assumed CVR and the team needs a risk-aware launch gate.
Use material, feature, audience, occasion, style, and scenario keywords to discover Amazon opportunities across categories. Use when category-first filters are too narrow or the team wants to reuse a supply capability across multiple demand contexts.
Run a fast Amazon opportunity gate using precise-query CPC, defensible conversion scenarios, visible differentiation, and unit economics. Use when deciding whether a product deserves deeper research before spending on samples or inventory.
Backtrack from a hot Amazon product to the audience, occasion, event, or scenario that created demand, then expand adjacent opportunities. Use when sales charts show what sold but not why it sold.
Screen a beginner's first Amazon product for a small, low-review niche with defensible paid-traffic economics. Use when the goal is to learn the FBA loop while protecting capital rather than chasing a large launch.
Evaluate whether a higher-priced Amazon offer creates enough contribution margin to absorb paid traffic and operational risk. Use when comparing low-ticket and bundled or higher-value product concepts.
Match a factory's materials, processes, tooling, MOQ, and quality capabilities to lower-competition Amazon use cases. Use when a manufacturer has supply strength but its standard products face crowded, expensive traffic.
Plan a compliant long-lived Amazon variation roadmap for products that can legitimately expand by color, size, pattern, or other allowed themes. Use when a team wants recurring niche launches under one valid parent without abusing review sharing.
Diagnose weak Amazon conversion in a fixed order from offer and detail-page fundamentals to traffic quality and market ceiling. Use when an FBA product receives clicks but underperforms on orders.
Validate whether an Amazon niche with dominant old listings still admits low-review new entrants. Use when the first search page looks saturated but the user wants to test for unmet audience, scenario, form, size, or price-segment demand.
Determine whether an Amazon product can economically tolerate the market's CPC and conversion environment before trying to optimize ACoS. Use when ads remain expensive, volume falls after bid cuts, or a team needs a launch feasibility gate.
Run an eight-gate Amazon product selection audit covering discoverability, operating difficulty, economics, differentiation, timing, seasonality, compliance, and inventory. Use when a candidate needs a complete pre-purchase decision review.
Govern AI-assisted Amazon product research by separating automatable evidence work from human commercial judgment. Use when auditing an AI selection workflow, prompt, agent, or Skill that produces product recommendations.
Build an Amazon product, audience, and use-case knowledge map before making product decisions. Use when a beginner lacks product ideas, rejects unfamiliar items too quickly, or needs a disciplined discovery routine.
Operate Amazon Ads for a small-inventory portfolio around a profit boundary rather than rank maximization. Use when campaigns should deliver controlled profitable demand, not force every SKU to scale.
Choose a compliant Amazon validation method based on whether the uncertainty is concept acceptance, marketplace conversion, or paid-traffic economics. Use when deciding whether to test an original design, a differentiated mature product, or a proven-market candidate.
Reposition an existing Amazon product resource into a more defensible audience, occasion, or use-case market. Use when a seller asks whether a familiar product can serve different buyers without changing its core manufacturing process.
Find defensible micro-niches inside a crowded Amazon category by combining low-review recent winners with precise design, attribute, or use-case terms. Use when a broad category looks saturated but supports visible sub-demand.
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. Use when building a diversified product pipeline around operational fit.
Discover Amazon product opportunities by extracting scenario, audience, activity, and occasion terms from unusual listings. Use when a user has no product inspiration and wants to turn a precise use context into a cross-category candidate set.
Design a scalable Amazon operating model that converts isolated product wins into repeatable portfolio processes. Use when comparing hero-product and diversified niche strategies or planning growth from a founder-led team to an operating system.
Discover seasonal Amazon micro-niches from accelerating, moderate-volume keywords and then expand from the underlying event scenario. Use when the team wants future demand signals rather than today's bestseller list.
Design low-capex Amazon differentiation by repositioning an existing product for a specific audience, occasion, or use case. Use when a seller cannot justify tooling but needs a visible, evidence-backed reason to buy.
Plan a compliant multi-year lifecycle for seasonal Amazon products using early entry, controlled inventory, valid variations, and year-over-year evidence. Use when a seasonal ASIN should compound learning without review or variation manipulation.
Build a year-round Amazon portfolio calendar around seasonal, holiday, social-event, and bulk-purchase demand. Use when a team wants diversified monthly peaks instead of dependence on one evergreen hero ASIN.
Plan a small-budget, part-time Amazon FBA validation with explicit cost, timeline, product count, and stop-loss assumptions. Use when a beginner wants to test the full operating loop without a large upfront commitment.
Diagnose whether adding Amazon listings is growing a store or merely redistributing a stable order pool. Use when a store adds SKUs but total orders remain flat, old products decline, or the team needs a staged assortment expansion plan.
Apply a tunable low-volume, higher-price, low-review screen to surface unfamiliar Amazon niches for deeper research. Use when the candidate universe is too large and the user needs a fast, explicitly non-final first pass.
Screen Amazon niche opportunities for precise demand, low competitive density, conservative paid-traffic profitability, and small-batch inventory fit. Use when the user asks how to find genuinely small blue-ocean markets.
聚焦品牌与备案、知识产权、广告曝光的 Amazon 账户、合规与风险。在需要识别受影响账户与义务，核对通知、证据和期限，形成风险分级、纠正计划与可审核材料时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦经营经验的 Amazon 账户、合规与风险。在需要识别受影响账户与义务，核对通知、证据和期限，形成风险分级、纠正计划与可审核材料时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦税务与出口、账户验证、运营工具的 Amazon 账户、合规与风险。在需要识别受影响账户与义务，核对通知、证据和期限，形成风险分级、纠正计划与可审核材料时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦政策变化、点击表现、运营工具的 Amazon 广告诊断与实验。在需要区分流量、零售承接和经济性问题，形成有样本依据的调整建议及受控实验时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦季节性、利润模型、差异化的 Amazon 广告诊断与实验。在需要区分流量、零售承接和经济性问题，形成有样本依据的调整建议及受控实验时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦利润模型、知识产权、运营工具的 Amazon 品牌、内容与增长。在需要将购买任务和品牌事实映射到内容与渠道，形成可验证的创意简报和增长计划时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦新品启动、关键词体系、品牌与备案的 Amazon 品牌、内容与增长。在需要将购买任务和品牌事实映射到内容与渠道，形成可验证的创意简报和增长计划时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦评价与口碑、政策变化、Listing 诊断的 Amazon 品牌、内容与增长。在需要将购买任务和品牌事实映射到内容与渠道，形成可验证的创意简报和增长计划时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦评价与口碑、Listing 诊断、AI 工作流的 Amazon 客户反馈与转化改进。在需要从评论、退货和客服证据定位购买障碍，形成产品或页面改进的优先级和验证计划时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦FBA的 Amazon FBA、物流与库存。在需要核对可售、在途、交期和费用，量化断货与积压风险，形成可执行的库存处理方案时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦市场机会、退货与退款、季节性的 Amazon FBA、物流与库存。在需要核对可售、在途、交期和费用，量化断货与积压风险，形成可执行的库存处理方案时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦季节性、成本结构、尺寸重量的 Amazon FBA、物流与库存。在需要核对可售、在途、交期和费用，量化断货与积压风险，形成可执行的库存处理方案时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦评价与口碑、FBA、发货与入库的 Amazon FBA、物流与库存。在需要核对可售、在途、交期和费用，量化断货与积压风险，形成可执行的库存处理方案时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦平台费用、利润模型、政策变化的 Amazon 费用、利润与现金流。在需要统一费用、订单和币种口径，复算贡献利润、资金缺口及压力情景时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦Listing 诊断、政策变化、标题的 Amazon Listing 与页面操作。在需要定位页面与字段问题，形成有产品事实支撑的修改草案、只读预检和结果核验计划时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦A+ 页面的 Amazon 跨境经营复盘。在需要将经验判断转成可验证的问题，识别适用前提、替代解释和可迁移的经营动作时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦市场机会、利润模型、竞品验证的 Amazon Listing 与页面操作。在需要定位页面与字段问题，形成有产品事实支撑的修改草案、只读预检和结果核验计划时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦AI 工作流、用户画像、运营工具的 Amazon 跨境经营复盘。在需要将经验判断转成可验证的问题，识别适用前提、替代解释和可迁移的经营动作时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦经营经验的 Amazon 跨境经营复盘。在需要将经验判断转成可验证的问题，识别适用前提、替代解释和可迁移的经营动作时使用；根据当前业务问题选择证据卡，避免加载无关主题。
Screen Amazon product ideas for low-review seasonal niches with clear query intent, manageable competition, entry timing, and paid-traffic economics. Use when a user needs a fast first-pass candidate list without treating filter thresholds as a final launch decision.
聚焦汇率风险、季节性、品牌与备案的 Amazon 客户反馈与转化改进。在需要从评论、退货和客服证据定位购买障碍，形成产品或页面改进的优先级和验证计划时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦政策变化、库存管理、平台费用的 Amazon FBA、物流与库存。在需要核对可售、在途、交期和费用，量化断货与积压风险，形成可执行的库存处理方案时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦平台费用、税务与出口、发货与入库的 Amazon 跨境经营复盘。在需要将经验判断转成可验证的问题，识别适用前提、替代解释和可迁移的经营动作时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦市场机会、成本结构、汇率风险的 Amazon 跨境经营复盘。在需要将经验判断转成可验证的问题，识别适用前提、替代解释和可迁移的经营动作时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦退货与退款、品牌与备案、库存管理的 Amazon 跨境经营复盘。在需要将经验判断转成可验证的问题，识别适用前提、替代解释和可迁移的经营动作时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦季节性、政策变化、使用场景的 Amazon 跨境经营复盘。在需要将经验判断转成可验证的问题，识别适用前提、替代解释和可迁移的经营动作时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦供应链、站外流量、知识产权的 Amazon 跨境经营复盘。在需要将经验判断转成可验证的问题，识别适用前提、替代解释和可迁移的经营动作时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦运营工具、政策变化、搜索词分析的 Amazon 跨境经营复盘。在需要将经验判断转成可验证的问题，识别适用前提、替代解释和可迁移的经营动作时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦政策变化、运营工具、类目与节点的 Amazon 平台政策与异常监控。在需要核对官方规则、时间和适用范围，形成影响清单、应对动作与复核节点时使用；根据当前业务问题选择证据卡，避免加载无关主题。
聚焦关键词排名、广告曝光、归因分析的 Amazon 跨境经营复盘。在需要将经验判断转成可验证的问题，识别适用前提、替代解释和可迁移的经营动作时使用；根据当前业务问题选择证据卡，避免加载无关主题。
Claude Skills — questions
Answers built from the skills we actually parsed.