Sealeap Amazon Fashion Category Growth
Research and plan Amazon fashion-category growth across the US, Europe, and Japan using trend validation, marketplace-specific selection, brand/store/content tools, promotion economics, inventory routing, and return-reduction gates. Use for 时尚品类选品, 美欧日服饰趋势, fashion opportunity scan, 女装男装童装鞋靴箱包珠宝, 品牌旗舰店与帖子, 促销组合, AWD/FBA库存, 尺码退货, or converting the authorized 2025 fashion guide into a current evide…
Install
$ agentstack add skill-xjli360-sealeap-amazon-skills-sealeap-amazon-fashion-category-growth ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-xjli360-sealeap-amazon-skills-sealeap-amazon-fashion-category-growth) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Amazon 时尚品类增长
目标
将时尚手册中的趋势与商品清单变成验证队列，而不是“热卖推荐”：先用当前站点需求和竞争证据筛选，再检查差异化、合规、利润、库存与退货，最后才进入 Listing、品牌、促销和广告实验。
先读 [references/source-and-guardrails.md](references/source-and-guardrails.md) 和 [references/source-map.md](references/source-map.md)。做机会筛选与品牌增长读 [references/opportunity-and-brand.md](references/opportunity-and-brand.md)；做库存与退货读 [references/inventory-and-returns.md](references/inventory-and-returns.md)。
与其它 Skill 的分工
- 本 Skill：类目趋势、选品验证、品牌/促销、库存和退货系统；
sealeap-amazon-apparel-lifecycle-ads：美国服饰广告生命周期；sealeap-amazon-jp-apparel-ads、...-uk-...、...-ca-...：站点广告打法；sealeap-amazon-localization-marketing：具体字段与素材本地化。
工作流
1. 固定站点与细分类目
记录 marketplace、product type、性别/年龄、服装/鞋/箱包/珠宝、季节、目标价带和上新时间。不能把美国、欧洲和日本趋势混成一个全球需求。
2. 从源候选建立验证队列
手册的 2025 色彩、面料、廓形、场景和推荐品仅标 SOURCE_CANDIDATE。对每个候选补齐当前搜索需求、销量/点击代理、竞争、评价门槛、退货主题、季节窗口和来源日期。
3. 产品可行性闸门
检查事实/材质、尺码体系、版型一致性、色差、标签、目标站点法规、知识产权、供应商能力、MOQ、交期、变体复杂度、落地成本、贡献毛利、退货敏感性和库存风险。任一硬闸门失败即 REJECT。
4. 建立本地商品表达
用当前目标站点搜索词和评价重建标题、属性、尺码表、图片/视频和使用场景。模特信息、颜色/面料特写、包容性和穿搭灵感都必须与实物一致。
5. 规划品牌与内容
只有完成 Brand Registry/当前资格核验后，才考虑品牌店、帖子、品牌受众优惠或 AI 内容工具。选择一个目的：建立信任、帮助搭配、解释面料/版型、交叉销售或复购；不要为了使用工具而创建内容。
6. 计算促销
核验当前 Deal/Coupon 规则、参考价、费用、库存和毛利。爆品集中、折扣深度、本地活动和品类活动的课程结果是历史调查，不是促销配方。
7. 设计库存与退货方案
按旺季/常青、多变体、FBA/AWD/其它当前可用履约方式建情景；用退货原因反推尺码、颜色、材质、图片和质量改进。库存清理动作先算回收价值与品牌影响。
8. 输出一个验证实验
只验证一个核心假设，例如某本地趋势、尺码表达、面料特写、搭配图或促销结构。固定价格/流量等主要变量，设置成功/停止线和回退。
必须交付
- 站点/细分类目/季节作用域；
SOURCE_CANDIDATE → CURRENT_EVIDENCE → DECISION队列；- 合规、利润、供应链、库存和退货闸门；
- 品牌/内容/促销草案；
- 一个实验和
GO / HOLD / REJECT状态。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: xjli360
- Source: xjli360/sealeap-amazon-skills
- License: MIT
- Homepage: https://sealeap.cn/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.