Community-owned capabilities
473 个由人和 Agent 共建的跨境能力仓库，按平台和场景归类。公开查看用途和数据要求；登录后可查看免费 Skill 的文件与版本，按账户权限参与协作。
该技能用于诊断和规划 Amazon 广告预算与广告位控制，强调证据驱动、单变量实验和授权边界，输出诊断、草案或已批准执行的回读核验结果。
该技能用于对亚马逊爆款案例进行因果审计，通过测试产品创新、品牌、关键词广度、自然可见度、时机、变体、促销、退货和合规性等竞争性解释，反向分析爆款原因。它强调证据驱动，区分事实、估算、假设和未知，并支持诊断、方案草案、执行准备和已批准执行等模式。技能包含一个安全的 MCP 客户端脚本，用于从 SIF、SellerSprite 和 Apify 获取第三方数据，并严格限制凭证仅从环境变量读取，防止泄露。
This skill provides an evidence-based framework for assessing Amazon boutique business models, covering demand differentiation, pricing, market saturation, capital turnover, and risk controls. It includes a Python MCP client for optional third-party data research (SIF, SellerSprite, Apify) with strict credential handling, schema validation, and cost approval gates. The skill emphasizes diagnostics over execution, requires explicit user authorization for any writes, and clearly separates facts, e
该 Skill 用于规划以利润为导向的亚马逊精品运营节奏，涵盖选品门槛、精准流量测试、转化验证、竞价控制与谨慎扩量。它强调证据驱动，区分事实、估算、假设与未知，并限制第三方数据的使用。包含一个 MCP 研究脚本，用于查询低评论竞品表现和关键词数据，但要求凭证仅从环境变量读取，并强制成本审批与输出文件权限保护。
This Skill validates whether an apparent Amazon blue-ocean opportunity is driven by durable differentiated demand or by price, promotion, review, variation, or off-platform distortions. It provides an evidence-gated workflow for diagnosis, drafting plans, and executing approved changes, with strict boundaries on data labeling and authorization. It optionally uses third-party MCP data providers (SIF, SellerSprite, Apify) through a Python client that reads credentials only from environment variabl
该技能用于规划亚马逊新品流量结构，通过证据化诊断和单变量实验控制早期受众噪音，区分流量与产品问题。它强调数据边界、隐私安全、授权审批和回读核验，输出诊断、方案或执行草案。
该技能用于根据产品属性、搜索行为、转化和单位经济性，将亚马逊产品路由到精准属性、宽泛意图或无明确关键词的广告结构中。它提供诊断、方案草案、执行准备和已批准执行等模式，强调证据充分性、单变量实验和授权边界。技能包含一个 MCP 研究脚本，用于从 SIF、SellerSprite 和 Apify 获取关键词、相似 ASIN 和竞争数据，并严格限制凭证仅从环境变量读取，拒绝在参数中传递敏感信息，且要求成本授权。
该 Skill 提供 Amazon 广告优化的证据化诊断与执行框架，强调按位置分配、否定词控制、目标竞价调整的顺序进行单变量实验，并区分事实、估算与假设。它包含一个 MCP 研究客户端脚本，用于从 SIF、SellerSprite 和 Apify 获取第三方数据，但要求凭证仅从环境变量读取，禁止在参数或 URL 中传递密钥，并强制成本授权与输出文件权限控制。
该技能用于按时间序列复盘 Amazon 广告表现，解释出价、位置、点击速度、转化和贡献利润在每次干预后的变化，并输出证据分级的诊断、方案或已批准执行草案。
该技能用于设计亚马逊广告架构，围绕产品可搜索性、查询意图、ASIN 可替代性、广告位和证据质量进行分析，并将架构与转化率问题分离。它提供诊断、方案草案、执行准备和已批准执行等模式，强调基于证据的决策，区分事实、估算、假设和未知。技能包含一个 MCP 研究脚本，用于从第三方提供商（SIF、SellerSprite、Apify）获取关键词、场景和相似 ASIN 数据，但严格限制凭证仅从环境变量读取，并防止敏感信息泄露。
该技能用于筛选和解读 2025 年亚马逊会员日广告洞察数据，并生成带护栏的三阶段（预热、活动、尾期）广告规划草案。它提供数据查询脚本、规划工作流和来源说明，强调不平均不同切片、不将历史数据作为预测，并要求在变更前进行审批和库存/利润核验。
该技能用于规划与诊断亚马逊全流域增长，覆盖认知、考虑、转化与忠诚阶段，强调非线性消费者旅程、触点职责分配、零售承接检查、指标树与单变量可归因实验。默认只读分析，执行写入需逐对象批准，并区分账户事实、当前政策、研究快照与假设。
Diagnose and plan Amazon US apparel advertising with an ASIN lifecycle playbook covering long-lifecycle, short-lifecycle, and seasonal products. Use for 美国站服饰广告投放, 女装/内衣/泳装/西装/配饰广告打法, ASIN 生命周期判断, 服饰非标品找词, 广告预算结构, 旺季预热与淡季保温, 主身份/标签/流量池诊断, ACOS 高, 点击高不转化, 大词首页不转化, 断货后重启, SB/SBV/SPV/SD/商品投放组合, 否词与复盘. Default to analysis and draft; do not mutate live campaigns without explicit human approval.
Diagnose Amazon Ads ACOS with reconciled CTR, CPC, CVR, AOV, ROAS, TACOS, placement, search-term, benchmark, attribution, and contribution-margin evidence, then produce a single-variable optimization experiment. Use for ACOS 高低判断, 广告亏损, CTR/CVR/CPC 异常, 盈亏平衡 ACOS, 广告报告诊断, Benchmark 基准, placement 浪费, 搜索词不精准, Listing 转化问题, 广告利润优化, or converting the authorized Amazon Ads metrics course into an account-specific plan. Default to read-only diagnosis and draft; never change live campaigns without explic
Audit, diagnose, rewrite, creatively brief, test, and safely prepare updates for Amazon product detail pages using live marketplace and product-type requirements, verified product facts, Brand Analytics, Search Query Performance, Ads search terms, customer feedback, competitor observations, and optional third-party estimates. Use when asked to improve or evaluate Amazon titles, bullets, descriptions, backend search terms, attributes, images, video, A+ Content, Brand Story, variations, indexing,
亚马逊站点语义、产品、主图、流量、位置与转化根因诊断
Universal tariff and landed cost calculator for Amazon sellers. Calculates import duties, Section 301 tariffs, VAT/GST, and total landed cost for any trade route (CN→US, CN→EU, US→EU, EU→US, US→CN and custom origin/destination pairs), with HS code lookup and trade agreement benefits (USMCA, EVFTA, RCEP). No API key required.
Trending products and rising category discovery for Amazon sellers. Produces a Top-5 trending opportunities report with BSR momentum scoring, seasonal timing, and market opportunity classification, so sellers can act before a trend peaks.
Subscribe & Save (订阅省) optimization for Amazon sellers. Produces enrollment plans, discount tier recommendations, frequency strategies, and retention analysis reports for repeat-purchase products.
Amazon FBA and FBM shipping cost calculator and fulfillment optimization. Computes FBA fulfillment fees by size tier, dimensional weight (L×W×H÷139), monthly and long-term storage fees, removal/disposal costs, FBM shipping rates by carrier and zone, FBA vs FBM break-even analysis, and a packaging optimization plan.
Seller storefront analysis and competitive intelligence for Amazon. Analyzes seller
Amazon sales volume estimator for sellers and product researchers. Estimates monthly
Deep Amazon review analysis for competitive intelligence and product improvement.
Amazon keyword rank tracking and search-position analysis. Establishes rank baselines across your keyword portfolio, monitors position changes against concrete thresholds, runs SERP and competitive visibility analysis, diagnoses ranking-factor causes (A9 relevance/performance/satisfaction/authority), and produces a recovery or improvement plan with timelines.
分类优先采用合集任务映射，其余按名称与简介归纳：6 个平台 · 11 个场景 · 4 个合集标签。
