# Sif Amazon Research

Use this skill for Amazon e-commerce research, market validation, competitor analysis...

- Repository: https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill (1059 stars)
- Category: AI and agents
- License: see repository
- Last updated: 2026-10-28
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill sif-amazon-research -g -a claude-code -y`
Codex: `npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill sif-amazon-research -g -a codex -y`
Cursor: `npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill sif-amazon-research -g -a cursor -y`
Gemini CLI: `npx skills add liangdabiao/amazon-sorftime-research-MCP-skill --skill sif-amazon-research -g -a gemini-cli -y`

## Description

Use this skill for Amazon e-commerce research, market validation, competitor analysis, traffic diagnosis, keyword strategy, advertising review, launch evaluation, and growth optimization using the Sif MCP server and Sif's real marketplace, traffic, keyword, sales, and ad data. Trigger when users mention Sif, Sif MCP, ASIN research, Amazon product opportunity research, keyword opportunity, competitor teardown, traffic drop/root-cause diagnosis, advertising structure review, or whether a product/market is worth entering, launching, scaling, optimizing, or abandoning.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Sif Amazon Research

## Operating rules

Use Sif MCP as the evidence source whenever available. Do not infer final business conclusions from one metric alone.

Before calling tools, identify the task type:
- Market/opportunity research: keyword or category direction.
- Market validation: keyword + candidate ASIN viability.
- Competitor analysis: competitor ASIN growth path and traffic source.
- Keyword layout: main terms, long tails, root structure, missing terms.
- Launch evaluation: whether to push a product.
- Post-launch feedback: continue, optimize, or stop.
- Growth optimization: expand proven traffic and keywords.
- Traffic/ad diagnosis: root cause of traffic or ad performance changes.

If the request does not include enough identifiers, ask for the missing ASIN, keywords, country, and time window. Default country to `US` only when the user does not specify a marketplace.

## Core workflow

1. Define the decision being made: enter / not enter, launch / not launch, scale / optimize / stop, or diagnose root cause.
2. Collect Sif evidence across the minimum necessary domains:
   - Market demand: keyword demand, history, root trend.
   - Competition: keyword competition, top ASIN concentration, competitor keyword signals.
   - Traffic: ASIN/listing traffic trend, structure, keyword distribution.
   - Sales: sales list/trend, variant performance.
   - Ads: ASIN ad structure, ad trend, campaign contribution, campaign/ad group drill-down.
3. Cross-check evidence. Separate confirmed findings from hypotheses.
4. Produce a business decision with confidence, evidence chain, risks, missing data, and next validation actions.

For scenario-specific tool sequences, read `references/research-playbooks.md`. For tool selection and parameter conventions, read `references/sif-tool-map.md`. For real-world MCP response quirks, large-output handling, and field interpretation pitfalls, read `references/field-notes.md` before any full analysis or debugging.

The rest: https://github.com/liangdabiao/amazon-sorftime-research-MCP-skill/blob/HEAD/SKILLS/skills/sif-amazon-research/SKILL.md