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Amazon Suspension Appeal

Community
liangdabiao
amazon-suspension-appeal

账号停用预防与申诉 — 政策违规、行动计划撰写、恢复流程

Overview

Publisherliangdabiao
RepositoryAmazon-Skills-Liang
Skill nameamazon-suspension-appeal
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 Suspension Appeal 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-suspension-appeal
  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-suspension-appeal .claude/skills/amazon-suspension-appeal
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Amazon Suspension Appeal 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 Suspension Appeal 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 Suspension Appeal 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 账号申诉

账号停用预防与申诉 — 政策违规、行动计划撰写、恢复流程

支持的平台: Amazon(美国、英国、德国、加拿大、日本、澳大利亚及所有市场)。

使用方法

帮我处理亚马逊账号申诉问题。

功能

  • 账号停用预防与申诉
  • 政策违规处理
  • 行动计划(Plan of Action)撰写
  • 账号恢复流程

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。

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 Suspension Appeal AI skill do?

账号停用预防与申诉 — 政策违规、行动计划撰写、恢复流程

Why use Amazon Suspension Appeal on TypingMind?

Because you install it once and use it with any model. Amazon Suspension Appeal 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 Suspension Appeal in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/liangdabiao/Amazon-Skills-Liang/tree/main/skills/amazon-suspension-appeal. 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 Suspension Appeal?

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 Suspension Appeal?

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

Is the Amazon Suspension Appeal 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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