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输入细分市场（niche）名称列表（最多 100 个，可聊天输入或从 txt/csv/xlsx 读取名称），自动从数据库拉取 9 项指标并评分排序，帮助卖家找到最容易切入的细分市场。支持 4 种卖家 profile 个性化评分。
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
输入目标站点 + 竞品 ASIN 列表（1-20 个，整组）+ 产品图片/描述，通过统一后端扩词并生成对应站点语言的 Amazon listing。支持 US/JP/UK/DE/FR/IT/ES/CA/IN；Rufus 问答仅 US。
通过用户访问校验后，输入本地卖家精灵市场调研 Excel（近30天竞品表、近12个月竞品月表、头部ASIN关键词反查表、核心关键词转化率表），创建 market_project_<YYYYMMDD_HHmmss>/ 项目目录，在 market_research/ 下生成 Amazon 市场主报告、辅助分析 Excel、单文件 HTML 看板、运行日志和 project_manifest.json，并可在主报告后追加 Top10 品牌/卖家外部调研。用于用户已经准备好 Excel 文件、需要做市场规模、趋势、垄断度、广告压力、基础透视、规则结论、头部品牌/卖家公开信息推断分析的场景；不负责浏览器采集、商品维度打标或多维机会深挖。
输入本地西柚找词“流量得分趋势”Excel 文件夹（1-10 个竞品 ASIN，同一站点、近一年日维度），先识别和校验 ASIN、站点、日期范围、价格促销、评分评论、自然/广告流量和新增广告活动字段，再生成亚马逊竞品推广手段拆解报告；商品画像、销量预测、Woot、上架时间和类目背景由 skill 内置 CLI 自动补充。适用于分析竞品价格、促销、广告、评价、销量、Woot、样本内季节性和动作有效性；用户明确继续时，可先追加 Agent 免费公开网页证据，再由用户单独确认是否启用按实际调用计费的增强检索，并把审核后的证据合并进同一 HTML。
Run a Wisdom Bud / PatSnap image-search patent workflow and write results back to the user's own Feishu/Lark Bitable. Use when Codex needs to process product rows or product images by using the user's configured Wisdom Bud account, capture candidate patent/design evidence, optionally attempt official-source verification, skip official checks that cannot be found, generate a concise report, upload it to Feishu, and update configured Feishu fields. Requires the recipient user to provide their own Wisdom Bud access and Feishu credentials/table mapping.
Run and maintain a reusable Amazon data crawler for front-end product collection with SellerSprite-enriched fields. Use when the user needs to crawl Amazon keyword search result pages with selectable sort orders, Best Sellers/New Releases category ranking nodes, storefront product lists with selectable sort orders and up to 20 pages per store, or image-search similar competitor counts/details; also use when packaging this crawler for another Codex installation.
Use when the user wants Codex to build a non-copycat Amazon image system from the user's own product photos, product facts, selling points, and either user-provided image planning ideas or a competitor Amazon listing URL/ASIN. If the user provides image generation planning or per-image design ideas, use those ideas directly and skip competitor teardown even when a competitor ASIN is also present. If only a competitor reference is provided as the strategy source, review competitor main images, gallery images, and A+ modules for strategy only. In both branches, preserve the user's real product proportions, structure, visible details, and dimension ratios from source references when available.
| name | lc_amazon_niche |
| description | 输入细分市场（niche）名称列表（最多 100 个，可聊天输入或从 txt/csv/xlsx 读取名称），自动从数据库拉取 9 项指标并评分排序，帮助卖家找到最容易切入的细分市场。支持 4 种卖家 profile 个性化评分。 |
细分市场评分工具。输入 niche 名称 → 后端拉指标 → CLI 本地评分 → Agent 解读。
INSTRUCTIONS.md — 完整流程scoring/*.yaml — 评分配置（可调阈值）tools/bin/amazon-niche-choice-v3-* — CLI 工具ANC_BACKEND_URL：后端地址ANC_BACKEND_TOKEN：访问 tokenANC_SKILL_DIR：Skill 目录（CLI 找 scoring YAML 用）