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Amazon Sales Estimator

Community
liangdabiao
amazon-sales-estimator

亚马逊销售量估算器,面向卖家和产品研究人员。通过BSR(畅销榜排名)、ASIN或关键词估算月销量和收入。三种模式:(A) BSR计算器 — 输入BSR + 市场 + 价格 + 类目获取即时销售估算,(B) ASIN查询 — 输入ASIN自动获取数据并估算销售,(C) 关键词市场分析 — 输入关键词分析总市场大小和竞争。适用于12个亚马逊市场。无需API密钥。适用于:(1) 估算产品月销量,(2) 评估市场或细分机会,(3) 分析竞品销售表现,(4) 比较不同价格段的销售,(5) 识别顶级卖家与长尾分布。

Overview

Publisherliangdabiao
RepositoryAmazon-Skills-Liang
Skill nameamazon-sales-estimator
Stars
99
Forks
20
Bundled files
1
Links
  • 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 Sales Estimator 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-sales-estimator
  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-sales-estimator .claude/skills/amazon-sales-estimator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Amazon Sales Estimator 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 Sales Estimator 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 Sales Estimator 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.

亚马逊销售估算器 📊

通过BSR估算月销量,分析市场大小,基准测试竞品表现。无需API密钥 — 开箱即用。

三种模式

模式适用场景输入输出
A — BSR计算器从已知BSR快速估算BSR + 市场 + 价格 + 类目月销量、月收入
B — ASIN查询估算特定产品销售ASIN或产品URL自动获取数据 + 销售估算
C — 关键词市场分析评估细分机会关键词(+ 可选市场)总市场销量、顶级卖家、价格分布

功能

  • BSR转销售转换:使用类目特定公式从畅销榜排名估算月销量
  • 收入计算:月销量 × 价格 = 估算月收入
  • 市场评估:汇总关键词搜索中产品的销售
  • 价格段分析:销量在不同价格范围的分布
  • 竞争细分:顶级卖家 vs 长尾分布
  • 多市场支持:美国、英国、德国、法国、意大利、西班牙、日本、加拿大、澳大利亚、印度、墨西哥、巴西

处理不完整输入

如果用户意图不明确或信息缺失,提前引导他们了解所有选项和所需输入:

用户说: "帮我估算亚马逊销售" 或 "我想查看销售"

代理应回复:

我可以通过3种方式帮您估算亚马逊销售。选择一种并提供所需信息:

A. BSR计算器 — 从BSR编号快速估算

  • BSR(必填):例如 1500
  • 类目(必填):例如 家居厨房
  • 价格(必填):例如 $24.99
  • 市场(可选,默认美国)

B. ASIN查询 — 查看特定产品销售

  • ASIN或URL(必填):例如 B09V3KXJPB
  • 市场(可选,默认美国)

C. 市场分析 — 评估关键词/细分机会

  • 关键词(必填):例如 "瑜伽垫"
  • 市场(可选,默认美国)
  • 筛选条件(可选):价格范围、最低评论数

示例:"模式A:BSR 1500,家居厨房,$24.99" 或 "模式B:B09V3KXJPB"


模式A — BSR计算器

输入

字段必填描述示例
BSR✅畅销榜排名编号1500
市场✅亚马逊站点US, UK, DE, JP...
标价✅产品价格$24.99
类目✅产品类目Home & Kitchen

使用示例

估算亚马逊美国家居厨房类BSR 1500的销售,价格$24.99
BSR 500,电子产品,德国市场,价格€39.99
BSR排名10,000的体育户外产品,月销量是多少?价格$15.99

工作流程

  1. 接收输入:BSR、类目、价格、市场
  2. 查找基础销售:使用市场的BSR转销售参考表
  3. 应用类目乘数:根据类目调整(电子产品1.2倍,服装0.8倍等)
  4. 计算月销量:基础销售 × 类目乘数
  5. 计算收入:月销量 × 价格
  6. 输出结果:月销量、日销量、月收入

输出

# 📊 销售估算

**输入:**
- BSR:家居厨房 #1,500
- 市场:亚马逊美国
- 价格:$24.99

**结果:**

| 指标 | 估算 |
|--------|----------|
| **估算月销量** | ~450件 |
| **估算月收入** | ~$11,246 |
| **估算日销量** | ~15件 |

*基于所选类目和市场的BSR转销售公式估算。*

模式B — ASIN查询

输入

字段必填描述示例
ASIN✅亚马逊产品ID或URLB09V3KXJPB
市场可选默认为美国UK, DE, JP...

使用示例

估算ASIN B09V3KXJPB的月销量
这个产品月销量是多少?https://www.amazon.com/dp/B0D72TSM62
获取亚马逊德国B0CPY1GFVZ的销售估算

工作流程

  1. 使用 web_fetch 获取亚马逊产品页面产品数据
  2. 提取:标题、价格、BSR、类目、评分、评论
  3. 对该类目和市场应用BSR转销售公式
  4. 计算收入:月销量 × 价格

输出

# 📊 销售估算:B09V3KXJPB

## 产品信息
- **标题:** [产品标题]
- **价格:** $24.99
- **BSR:** 家居厨房 #1,500
- **评分:** 4.5★(1,234条评论)

## 销售估算

| 指标 | 估算 |
|--------|----------|
| **估算月销量** | ~450件 |
| **估算月收入** | ~$11,246 |
| **估算日销量** | ~15件 |

## 竞争背景
- 排名家居厨房类目前 **0.5%** 以内
- 高于$20-30价格段的平均水平

模式C — 关键词市场分析

输入

字段必填描述示例
关键词✅搜索词yoga mat
市场可选亚马逊站点(默认:美国)UK, DE, JP...
筛选条件可选价格范围、最低评论数$15-$40, 100+评论

使用示例

分析亚马逊美国"yoga mat"的市场大小
"portable blender"关键词的月总销量是多少?
评估亚马逊美国"dog shirt"市场。显示顶级卖家和价格分布。

工作流程

  1. 使用 web_search 搜索产品 site:amazon.com "{关键词}"
  2. 获取前10-20个产品页面的 BSR数据
  3. 使用模式A公式估算每个产品销售
  4. 汇总总市场大小
  5. 分析价格分布和竞争

输出

# 📊 市场分析:"yoga mat"

**市场:** 亚马逊美国 | **分析产品数:** 25

## 市场大小

| 指标 | 值 |
|--------|-------|
| **估算月总销量** | ~85,000件 |
| **估算月总收入** | ~$210万 |
| **平均价格** | $24.50 |

## 顶级卖家

| # | ASIN | 价格 | BSR | 估算月销量 |
|---|------|-------|-----|---------------|
| 1 | B0XX... | $22.99 | #45 | ~8,500 |
| 2 | B0YY... | $29.99 | #78 | ~6,200 |
| 3 | B0ZZ... | $18.99 | #120 | ~4,800 |
| ... | ... | ... | ... | ... |

## 市场集中度

- **前3名:** 总销量的23%
- **前10名:** 总销量的52%
- **长尾:** 总销量的48%

→ **分散型市场** — 新进入者有机会

## 价格分布

| 价格段 | 销量占比 |
|------------|------------|
| $0 - $20 | 25% |
| $20 - $35 | 55% |
| $35+ | 20% |

**最佳区间:** $20-$35

BSR转销售参考

亚马逊美国 — 基准(家居厨房)

BSR范围估算月销量
1-1003,000 - 10,000+
100-5001,000 - 3,000
500-2,000300 - 1,000
2,000-10,000100 - 300
10,000-50,00030 - 100
50,000-100,00010 - 30
100,000+< 10

类目乘数

类目乘数
电子产品1.2倍
家居厨房1.0倍
玩具1.1倍
运动户外0.9倍
服装0.8倍
图书0.7倍

市场调整

市场系数
美国1.0倍
日本0.6倍
德国0.5倍
英国0.4倍
加拿大0.3倍
其他0.2倍

与其他技能的集成

与amazon-keyword-research

bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-keyword-research -g
第一步:"研究瑜伽垫的关键词"
   → amazon-keyword-research返回带搜索量的关键词列表

第二步:"现在分析顶级关键词的市场大小"
   → amazon-sales-estimator 模式C评估机会

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 Sales Estimator AI skill do?

亚马逊销售量估算器,面向卖家和产品研究人员。通过BSR(畅销榜排名)、ASIN或关键词估算月销量和收入。三种模式:(A) BSR计算器 — 输入BSR + 市场 + 价格 + 类目获取即时销售估算,(B) ASIN查询 — 输入ASIN自动获取数据并估算销售,(C) 关键词市场分析 — 输入关键词分析总市场大小和竞争。适用于12个亚马逊市场。无需API密钥。适用于:(1) 估算产品月销量,(2) 评估市场或细分机会,(3) 分析竞品销售表现,(4) 比较不同价格段的销售,(5) 识别顶级卖家与长尾分布。

Why use Amazon Sales Estimator on TypingMind?

Because you install it once and use it with any model. Amazon Sales Estimator 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 Sales Estimator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/liangdabiao/Amazon-Skills-Liang/tree/main/skills/amazon-sales-estimator. 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 Sales Estimator?

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 Sales Estimator?

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

Is the Amazon Sales Estimator 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.

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