sif-amazon-research

Name: sif-amazon-research
Availability: InStock
Author: liangdabiao

Evaluate ASIN or keyword market viability using Sif MCP data.

685|104|Updated Mar 2, 2026

Search Tags:#research #amazon #competitor-analysis #market-validation #sif #asins #traffic-diagnosis

Ready to run

npx skills add https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill --skill sif-amazon-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sif-amazon-research
Source: https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/tree/main/.claude/skills/sif-amazon-research
Command: npx skills add https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill --skill sif-amazon-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Amazon e-commerce teams struggle to determine if a product or keyword opportunity is viable due to fragmented data and rapidly changing market dynamics. This skill consolidates Sif MCP data to provide structured insights for market validation, competitor teardown, traffic diagnosis, and keyword strategy.

Core Features & Use Cases

Market validation and opportunity sizing across ASINs, keywords, and categories using real marketplace data.
Competitor teardown: growth paths, traffic sources, and keyword signals to inform positioning.
Traffic diagnosis and optimization guidance, including root-cause analysis and actionable recommendations.
Launch evaluation and growth optimization through data-driven decision frameworks.

Quick Start

Ask the system to analyze a candidate ASIN or keyword set using Sif MCP data to evaluate market viability.

Frequently Asked Questions about sif-amazon-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I validate Amazon market viability for a specific ASIN?▼

To validate Amazon market viability, provide a candidate ASIN, target country, and time window. The system analyzes Sif MCP data across marketplaces to deliver a data-driven decision with confidence scores, supporting evidence, and recommended next steps.

What is competitor teardown and how does it work for Amazon products?▼

Competitor teardown analyzes competing ASINs using Sif data to reverse-engineer growth paths, traffic sources, and keyword signals. This process informs your product positioning by revealing how rivals capture marketplace demand.

Can I diagnose Amazon traffic drops using ASIN and keyword data?▼

Yes, you can diagnose Amazon traffic drops by submitting the affected ASINs and relevant keywords. The system performs root-cause analysis on traffic sources to provide actionable optimization guidance for your listings.

What inputs do I need for Amazon keyword strategy and market validation?▼

Amazon keyword strategy and market validation require a candidate keyword set or ASINs, a target country, and a time window. Using these inputs, the system sizes the market opportunity and outputs structured insights.

Is Sif MCP data sufficient for evaluating Amazon launch opportunities?▼

Sif MCP data is sufficient for evaluating Amazon launch opportunities by sizing market demand and diagnosing traffic. It provides a structured framework to assess viability and recommended next steps before product launch.

Why does my Amazon product research show fragmented data across marketplaces?▼

Amazon product research shows fragmented data due to rapidly changing market dynamics across different marketplaces. Consolidating Sif MCP data resolves this by providing structured insights for market validation and competitor analysis.