Appeal Process

Community

vivy-yi

appeal-process

Use when needing to appeal unfair penalties, content removal, account suspension, or other disciplinary actions on Xiaohongshu

Overview

Publisher	vivy-yi
Repository	`xiaohongshu-skills`
Skill name	`appeal-process`
Stars	502
Forks	76
Bundled files	Instructions only
Links	Skill source Repository

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by vivy-yi on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/vivy-yi/xiaohongshu-skills/tree/main/skills/05-平台规则/appeal-process
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/vivy-yi/xiaohongshu-skills/tree/main/skills/05-平台规则/appeal-process

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable Appeal Process 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 Appeal Process 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 Appeal Process 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.

申诉流程 (Appeal Process)

概述

申诉流程的核心原则：准备充分、理由充分、证据确凿、态度诚恳。

当遇到不公正处罚或误判时，申诉是维护权益的重要途径。成功的申诉需要充分的准备、合理的理由、确凿的证据和诚恳的态度。

使用场景

需要本技能的典型情况：

内容被误判违规
账号被错误处罚
对处罚结果有异议
认为判定有误
需要恢复账号/内容
需要撤销处罚

核心模式

❌ 情绪化申诉


收到处罚
↓
情绪激动
↓
指责平台
↓
无效申诉
↓
处罚维持

✅ 理性申诉


收到处罚
↓
冷静分析
↓
准备材料
↓
理性申诉
↓
提供证据
↓
申诉成功

快速参考

申诉类型	成功率	关键因素	处理时间
误判申诉	中高	证据充分	3-7天
处罚过重	中	理由充分	5-10天
账号封禁	低	证据+理由	7-14天

实施步骤

第1步：评估申诉可行性

核心逻辑：不是所有处罚都适合申诉，需要评估成功率。

第2步：准备申诉材料

核心逻辑：充分的材料是申诉成功的关键。

第3步：提交申诉

核心逻辑：正确提交申诉，提高成功率。

第4步：跟进处理

核心逻辑：提交后需要跟进，必要时补充材料。

第5步：结果处理

核心逻辑：无论结果如何，都需要妥善处理。

常见错误

错误	后果	正确做法
情绪化申诉	被忽视	理性申诉，提供证据
证据不足	申诉失败	充分准备证据材料

关键指标

申诉成功率

markdown
**影响成功率的因素：**
✓ 证据充分性
✓ 理由合理性
✓ 材料完整性
✓ 态度诚恳度

Frequently asked questions

What does the Appeal Process AI skill do?

Use when needing to appeal unfair penalties, content removal, account suspension, or other disciplinary actions on Xiaohongshu

Why use Appeal Process on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vivy-yi/xiaohongshu-skills/tree/main/skills/05-平台规则/appeal-process. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Appeal Process?

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 Appeal Process?

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

Is the Appeal Process AI skill free?

It is published on GitHub by vivy-yi. 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.

View all

Defuddle

kepano

CommunityPopular

Extract clean Markdown from HTML pages with Defuddle CLI.

Memory Reflect

Answer questions about history, habits and past decisions by reasoning over Hindsight memory. Use when asked what was decided about something, how something is usually done, what changed over time, or…

To Questionnaire

Turn a decision you can't fully answer into a questionnaire for someone else to fill in.

Wait What

Stop. That last message did not land: re-pitch it.

Appeal Process

Overview

Installation

Install in TypingMind

Use it in TypingMind

Works with any AI model

Skill instructions

申诉流程 (Appeal Process)

概述

使用场景

核心模式

❌ 情绪化申诉

✅ 理性申诉

快速参考

实施步骤

第1步：评估申诉可行性

第2步：准备申诉材料

第3步：提交申诉

第4步：跟进处理

第5步：结果处理

常见错误

关键指标

申诉成功率

相关技能

Frequently asked questions

Set up your own AI workspace now

Overview

Installation

Install in TypingMind

Use it in TypingMind

Works with any AI model

Skill instructions

申诉流程 (Appeal Process)

概述

使用场景

核心模式

❌ 情绪化申诉

✅ 理性申诉

快速参考

实施步骤

第1步：评估申诉可行性

第2步：准备申诉材料

第3步：提交申诉

第4步：跟进处理

第5步：结果处理

常见错误

关键指标

申诉成功率

相关技能

Frequently asked questions

Related AI Skills

Set up your own AI workspace now