Run Amazon marketplace research workflows through Sorftime MCP skills
Use a set of Amazon marketplace research skills to analyze ASINs, categories, keywords, reviews, listings, traffic, and advertising signals through MCP-backed data services.
npx skills add agentskillexchange/skills --skill run-amazon-marketplace-research-workflows-through-sorftime-mcp-skills
Use Amazon Sorftime MCP Skills when an ecommerce operator wants an agent to run repeatable Amazon research workflows from ASINs, categories, or product keywords. The upstream project defines command-shaped workflows for listing analysis, category selection, keyword research, review analysis, product research, competitor traffic, listing optimization, pricing, and ad optimization through Sorftime, Sif, Xiyou, and SellerSprite MCP services.
What this skill actually does
Invoke this instead of manually opening each seller-intelligence product when the goal is an agent-produced research report with consistent evidence collection, cross-checks, and saved outputs. The scope boundary is Amazon marketplace analysis through named skill commands and MCP tools. It is not a generic ecommerce dashboard, Amazon scraper, or raw MCP server listing.
Inputs and prerequisites: Agent runtime that supports skills, configured MCP services for Sorftime, Sif, Xiyou, or SellerSprite, and Amazon marketplace inputs such as ASIN, keyword, category, and site.
Setup notes: Install the skill package from the upstream repository or SkillHub page, configure the required marketplace MCP service credentials, then invoke the provided slash-command workflows such as /amazon-analyse, /category-select, /keyword-research, or /review-analysis.
Source and verification boundary: use https://skillhub.cn/skills/user_8bb4b4f5/amazon-sorftime-research-mcp-skill as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.
Framework fit: publish this as a MCP workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.