TypingMindTypingMindThe best frontend for AI
Amazon Competitor Analysis logo

Amazon Competitor Analysis

Community
liangdabiao
amazon-competitor-analysis

全维度亚马逊竞品分析。与直接竞品对比 listing、价格、评论、广告策略和市场定位。识别可利用的弱点和需应对的优势。

Overview

Publisherliangdabiao
RepositoryAmazon-Skills-Liang
Skill nameamazon-competitor-analysis
Stars
99
Forks
20
Bundled files
1
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by liangdabiao on GitHub. Read the source before you install it.

Installation

Install the Amazon Competitor Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/liangdabiao/Amazon-Skills-Liang/tree/main/skills/amazon-competitor-analysis
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/liangdabiao/Amazon-Skills-Liang.git /tmp/Amazon-Skills-Liang
mkdir -p .claude/skills
cp -r /tmp/Amazon-Skills-Liang/skills/amazon-competitor-analysis .claude/skills/amazon-competitor-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Amazon Competitor Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Amazon Competitor Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Amazon Competitor Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Amazon 竞品分析 🏆

全维度亚马逊竞品分析。与直接竞品对比 listing、价格、评论、广告策略和市场定位。识别可利用的弱点和需应对的优势。

支持的平台： Amazon、Shopify、WooCommerce、Walmart、TikTok Shop、Etsy、eBay、BigCommerce。

使用方法

将我的产品（ASIN B0EXAMPLE1）与这些竞品对比：B0EXAMPLE2、B0EXAMPLE3。我在亚马逊上卖狗床。

功能

  • Listing质量对比（标题、五点、图片、A+内容）
  • 评论情感对比与痛点提取
  • 定价策略分析和定位图
  • 广告可见度评估（赞助广告出现频率）
  • 库存与配送策略对比（FBA vs FBM）
  • 可执行的竞争反击策略生成

工作原理

第一步： 从用户消息中收集信息 — 产品、平台、当前状况和目标。

第二步： 用多选格式一次性提出所有后续问题。允许简写回答（如"1b 2c 3a"）。

第三步： 使用下方的框架和方法论进行研究分析。

Listing质量对比框架

  • A9/A10 SEO评分： 从标题关键词覆盖、五点描述信息密度、图片质量（点击率和场景丰富度）、A+内容完整性对各listing评分。
  • 关键词差距分析： 识别竞品排名但你没有的高搜索量搜索词。
  • 内容深度评估： 对比五点 — 是否全面回应了消费者痛点和卖点？

评论情感分析模型

  • 投诉主题提取： 识别重复出现的负面主题（质量问题、尺寸偏差、物流投诉）。这些是你的差异化机会。
  • 赞扬关键词挖掘： 提取高频正面关键词，揭示客户最看重什么。用于listing文案和广告话术。
  • 情感分布： 对比各竞品的星级分布。平均4.5+ = 你必须达到的基准期望。

定价定位图

  • 价格-评论-质量矩阵： 以价格和评论数/评分为双轴绘制竞品位置图。识别价格带空白和服务不足的细分市场。
  • 价格战识别： 判断市场是否处于破坏性价格竞争（价格接近成本）。

广告可见度评估

  • 广告出现频率： 监控竞品在目标关键词上的赞助广告出现频率。
  • 预算推断： 高流量关键词保持广告首位 = 可观广告预算和成熟策略。
  • 低竞争关键词机会： 广告主少的关键词 = 成本效益高的流量机会。

数据来源

  • 亚马逊产品页面： 通过web_fetch抓取标题、价格、五点、图片、评分、评论、BSR。
  • 网页搜索（site:amazon.com）： 评估竞品搜索可见度和广告分布。

局限性

  • 无法获取内部数据（实际广告预算、转化率、库存水平）。
  • 广告可见度基于快照。频繁变化意味着单次分析可能已过时。
  • 市场条件不断变化。需要定期更新以保持时效性。
  • 新竞品评论少，缺乏统计显著性的情感数据。

第四步： 提供结构化、可执行的输出，包含具体建议，而非模糊指导。

输出格式

  • 先给出发现总结
  • 包含具体数据点和基准（若有）
  • 提供优先排序的行动项
  • 基于不完整数据的估算需标注 ⚠️
  • 以具体的后续步骤结尾

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Amazon Competitor Analysis AI skill do?

全维度亚马逊竞品分析。与直接竞品对比 listing、价格、评论、广告策略和市场定位。识别可利用的弱点和需应对的优势。

Why use Amazon Competitor Analysis on TypingMind?

Because you install it once and use it with any model. Amazon Competitor Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Amazon Competitor Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/liangdabiao/Amazon-Skills-Liang/tree/main/skills/amazon-competitor-analysis. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Amazon Competitor Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Amazon Competitor Analysis?

As many as you like. As long as a model supports skills, you can use Amazon Competitor Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Amazon Competitor Analysis AI skill free?

It is published on GitHub by liangdabiao. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Related AI Skills

View all
affaan-m logo

Benchmark Methodology

affaan-m
CommunityPopular

Use after competitive-platform-analysis has produced a tiered competitor set. Scores each competitor across nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence,…

40.4K
270.2K
1 files
View
affaan-m logo

Brand Voice

affaan-m
CommunityPopular

Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants…

40.4K
270.2K
2 files
View
affaan-m logo

Crosspost

affaan-m
CommunityPopular

Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user…

40.4K
270.2K
1 files
View
NousResearch logo

Social Media Content Calendar

NousResearch
OrganizationPopular

Plan multi-platform social campaigns: briefs to posting.

53.5K
250.4K
Instructions
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇