Product Research

by zach22-1999

Product Research is a Data skill for Claude Code, published by zach22-1999 in amazon-skills.

177 stars36 forkson zach22-1999/amazon-skillsAdded 2026/09/07+3% in starsRepository updated 2026/08/20

agent-skillsamazon-fbaamazon-ppcamazon-sellerclaude-codecodexcross-border-ecommercecursorecommerce-ailisting-optimizationproduct-research

Install in seconds

Install Product Research

Copy Product Research into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/zach22-1999/amazon-skills/tree/main/skills/zach-product-research ~/.claude/skills/zach-product-research

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/zach22-1999/amazon-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/zach-product-research/SKILL.md in zach22-1999/amazon-skills
Installs to: ~/.claude/skills/zach-product-research
Collection: One of 7 skills cataloged from this repository
Category: Data — 796 skills

What Product Research does

Product Research uses Sorftime MCP data to find high-potential Amazon market opportunities, analyze competition, estimate ROI, and produce Go/No-Go decisions and research reports. It is used before launching a new product or starting the next listing workflow step.

Product Research is cataloged under Data on DirSkills. Product Research comes from a repository tagged agent-skills, amazon-fba, amazon-ppc, amazon-seller and claude-code.

Documentation

README

Excerpt

前置建议

本公开版 Skill 是自包含的，不依赖任何私有工作区文件、内部参考库或品牌专属协议。

开始分析前，优先阅读本 Skill 自带的参考材料：

references/payload_schema_v2.md — v2 数据包结构与必填字段
references/payload_schema.md — v1 兼容格式
references/html_report_spec.md — HTML 精简报告结构要求
references/analysis_patterns.md — 分析模式与洞察写法模板

如果你已有自己的市场研究资料，可以作为补充背景使用；但本 Skill 的执行、交付和校验不依赖外部私有资料。

选品分析器（Product Research - Sorftime MCP）

定位

基于 Sorftime MCP 的选品分析，帮助你在有利润前提下，用最短时间、最低风险发现高潜力市场机会。

数据来源：全部通过 Sorftime MCP 工具获取，不捏造、不估算。

下游输出：选品报告（MD + HTML精简 + Dashboard看板 + Excel）→ 新品上架工作流的后续步骤：zach-competitor-deep-dive（Listing 级竞品拆解）→ zach-pricing-strategy（定价精算）→ …

注：本 Skill 已吸收原 zach-market-intelligence 的 Go/No-Go 决策框架与进入壁垒评估能力（见 Step 2.4 / Step 3.5），以及 zach-report-dashboard-renderer 的 Dashboard 可视化看板能力。两者均已标记为 deprecated。

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Product Research

What else does zach22-1999 publish alongside Product Research?
Product Research is one of 7 skills that DirSkills catalogs from zach22-1999/amazon-skills, the repository it ships in. Its siblings there include Amazon Listing Health Checker, Amazon Search Term Analyzer and Amazon Search Term Analyzer. Each one is a separate skill with its own page in this directory, installs the same way Product Research does, and is maintained by zach22-1999 in that same repository. The rest of the collection is listed on the zach22-1999/amazon-skills page.
How does Product Research compare to other Data skills?
Product Research ranks #740 by stars among the 796 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Product Research against them. Open each page to compare what they document and how they install.