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Amazon Repricing Strategy

Community
liangdabiao
amazon-repricing-strategy

亚马逊重新定价策略顾问 — 竞争定价规则、购物车优化、利润保护和重新定价工具选择。基于您的目标构建自定义重新定价逻辑:购物车赢取率、利润目标或销量速度。

Overview

Publisherliangdabiao
RepositoryAmazon-Skills-Liang
Skill nameamazon-repricing-strategy
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 Repricing Strategy 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-repricing-strategy
  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-repricing-strategy .claude/skills/amazon-repricing-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Amazon Repricing Strategy 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 Repricing Strategy 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 Repricing Strategy 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.

亚马逊重新定价策略 🔄

亚马逊重新定价策略顾问 — 竞争定价规则、购物车优化、利润保护和重新定价工具选择。基于您的目标构建自定义重新定价逻辑:购物车赢取率、利润目标或销量速度。

支持的平台: 亚马逊(所有市场 — 美国、英国、德国、加拿大、日本、澳大利亚等)。

使用方法

我在30%的listing上失去了购物车。我有200个电子产品SKU,价格范围15-80美元。帮我建立一个能赢得购物车但不会破坏利润的重新定价策略。

功能

  • 购物车算法分析:价格、履约、卖家指标、发货速度权重
  • 重新定价规则设计:最低/最高价格、基于竞争对手的规则、基于速度的调整
  • 利润保护:最低利润 guardrails、保本价格底线、费用感知定价
  • 竞争格局评估:卖家数量、FBA vs FBM比例、定价模式
  • 重新定价工具比较:亚马逊自动定价 vs 第三方(RepricerExpress、Informed、BQool、Aura)
  • 场景特定策略:自有品牌、批发、套利、季节性产品
  • 购物车赢取率优化:识别哪些因素让您失去购物车
  • 基于时间的重新定价:高峰时段、一周中的日期模式、季节性调整

工作流程

第一步: 收集卖家详情 — SKU数量、类目、当前购物车赢取率、履约方式、平均利润、定价范围、当前重新定价方法。

第二步: 使用多项选择题格式提出一个后续问题。允许简写回答(例如"1b 2c 3a")。

第三步: 使用以下框架和方法论进行研究分析。

购物车算法价格权重机制: 亚马逊购物车归属算法是多因素评分系统,价格是最重要权重因子之一,但非唯一因素。算法综合评估:售价、配送方式(FBA优于FBM)、配送速度、卖家反馈评分、订单缺陷率(ODR)、准时发货率、库存充足率。理解机制:有时小幅提价加上FBA保障,比拼最低价更能保护利润。

地板/天花板定价规则: 地板价应基于产品盈亏平衡点计算,确保任何情况下不会亏本销售。天花板价基于市场承受能力和竞品定价确定。地板价计算必须考虑所有成本项(商品成本、佣金、FBA费用、广告分摊、退货分摊等),而非仅扣除商品成本。

竞争响应规则设计: 针对不同类型竞争对手制定差异化响应策略。对于FBA竞争对手,由于配送优势可能需要更激进价格跟进;对于FBM竞争对手,可采用"仅通知不跟进"策略。还需区分"值得争夺的对手"(信誉好、评分高、库存充足)和"不值得浪费精力应对的对手"(即将断货、评分极低、即将退出市场)。

速度与时间维度调价: 高峰购物时段(工作日晚间和周末)消费者价格敏感度较低,可适当维持较高售价;竞争者较少时段(深夜和清晨),适度降价可能以较小代价赢取购物车。季节性产品还需考虑旺季前蓄水期定价和旺季高峰利润最大化定价之间的节奏配合。

第四步: 提供完整的重新定价策略,包含具体规则、工具建议和实施步骤。

输出格式

  • 当前状态诊断:购物车赢取率问题、利润分析、竞争位置
  • 重新定价规则:每个产品细分的具体逻辑(底价、顶价、匹配/击败规则)
  • 工具建议及设置说明
  • 实施时间线:分阶段推出以最小化风险
  • 跟踪的KPI:购物车%、利润%、速度、收入影响
  • 当基于不完整数据时用⚠️标记估计值
  • 以具体的后续步骤结束

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 Repricing Strategy AI skill do?

亚马逊重新定价策略顾问 — 竞争定价规则、购物车优化、利润保护和重新定价工具选择。基于您的目标构建自定义重新定价逻辑:购物车赢取率、利润目标或销量速度。

Why use Amazon Repricing Strategy on TypingMind?

Because you install it once and use it with any model. Amazon Repricing Strategy 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 Repricing Strategy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/liangdabiao/Amazon-Skills-Liang/tree/main/skills/amazon-repricing-strategy. 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 Repricing Strategy?

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 Repricing Strategy?

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

Is the Amazon Repricing Strategy 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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