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Product Ai Remake

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chendongqi
product-ai-remake

AI 产品重做探索器 - 基于已验证产品的 AI 重做方法论。核心理念:AI 时代所有产品都值得用 AI 重做一遍。适用场景:(1) 寻找可 AI 化重做的成熟产品,(2) 评估产品的 AI 重做可行性和差异化机会,(3) 设计 AI 版本的产品方案,(4) 制定 AI 产品的推广策略。触发词:AI重做、产品重做、AI化、找产品、产品创意、产品机会、remake、重新定义。区别于从零开始的产品创意,本技能聚焦于站在巨人肩膀上的 AI 创新。

Overview

Publisherchendongqi
RepositoryOPB-Skills
Skill nameproduct-ai-remake
Stars
133
Forks
25
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Product Ai Remake 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/chendongqi/OPB-Skills/tree/main/skills/product-ai-remake
  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/chendongqi/OPB-Skills.git /tmp/OPB-Skills
mkdir -p .claude/skills
cp -r /tmp/OPB-Skills/skills/product-ai-remake .claude/skills/product-ai-remake
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Product Ai Remake 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 Product Ai Remake 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 Product Ai Remake 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.

AI 产品重做探索器 (AI Product Remake)

核心方法论:AI 时代,所有产品都值得用 AI 重做一遍。

就像互联网时代重做了传统行业,移动互联网重做了 PC 产品,AI 时代同样蕴含着巨大的重做机会。与其苦思冥想全新创意,不如站在已验证产品的肩膀上,用 AI 重新定义。

三步工作流

┌─────────────┐     ┌─────────────┐     ┌─────────────┐
│  1. 发现    │ ──▶ │  2. 重做    │ ──▶ │  3. 推广    │
│  Find       │     │  Remake     │     │  Launch     │
└─────────────┘     └─────────────┘     └─────────────┘
   调研已验证          AI 重新设计         获取首批用户
   的成熟产品          并实现产品          规模化增长

Step 1: 发现 (Find)

目标

找到用户量高、功能聚焦、非 AI 领域的成熟产品,作为 AI 重做的基础。

执行方式

使用具备 Research 能力的 AI 工具进行调研:

  • 工具选择: 扣子空间、秘塔 AI、Google Deep Research、Perplexity 等
  • 输出格式: 结构化表格

调研提示词模板

我在寻找可以用 AI 重做的产品机会。请帮我调研符合以下条件的产品/网站:

筛选条件:
1. 功能聚焦于某个垂直领域(非综合平台)
2. 用户量较高(月活 10万+ 或知名度高)
3. 当前非 AI 领域(传统工具/服务)
4. 有明确的盈利模式

输出要求:
- 数量:50 个产品
- 范围:国内外不限
- 格式:表格

表格列:
| 产品名称 | 网址 | 核心功能 | 目标用户 | 月活/用户量 | 盈利模式 | 年收入估算 | AI 重做机会点 |

评估维度

对调研结果进行二次筛选,评估 AI 重做可行性:

维度高分特征低分特征
AI 增值空间核心功能可被 AI 显著提升AI 难以提供差异化价值
技术可行性现有 AI 能力可实现需要突破性技术
市场规模大市场、高频需求小众、低频
竞争态势尚无 AI 版本或竞品弱AI 巨头已入场
变现潜力用户有付费意愿免费习惯根深蒂固
个人优势有相关经验/资源完全陌生领域

输出物

  • 产品调研表格(50+)
  • 精选候选清单(5-10 个)
  • 最终选定产品(1-2 个)

Step 2: 重做 (Remake)

2.1 产品定位

回答关键问题:

1. 原产品解决什么问题?
2. 用户的核心痛点是什么?
3. AI 能带来什么差异化价值?
4. 你的 AI 版本的一句话定位是什么?

2.2 AI 增值点设计

常见的 AI 重做模式:

模式说明示例
效率提升原本需要手动完成的事 AI 自动化表格处理 → AI 一键分析
智能推荐从用户选择变为 AI 推荐选模板 → AI 生成定制方案
自然交互复杂操作变为对话式多级菜单 → 自然语言指令
个性化通用方案变为千人千面固定模板 → AI 定制内容
质量提升AI 辅助产出更高质量人工校对 → AI 智能优化

2.3 MVP 范围定义

核心功能(必须有):
- [ ] ...
- [ ] ...

增值功能(可延后):
- [ ] ...

不做的功能:
- [ ] ...

2.4 技术实现

使用 AI Coding 工具实现:

  • 推荐栈: Next.js + Tailwind + Supabase + OpenAI/Claude API
  • 工具: Claude Code / Cursor / Windsurf
  • 原则: 快速迭代,先跑通再优化

Step 3: 推广 (Launch)

3.1 冷启动策略

阶段目标渠道AI 辅助
种子期100 用户朋友圈、社群AI 生成文案
验证期1000 用户Product Hunt、V2EX、即刻AI 优化话术
增长期10000+ 用户SEO、社交媒体、付费投放AI 批量生成内容

3.2 AI 可辅助的推广动作

内容营销:
- [ ] AI 生成产品介绍文案
- [ ] AI 创作系列技术博客
- [ ] AI 制作社交媒体内容
- [ ] AI 生成 SEO 优化内容

社区运营:
- [ ] AI 辅助回复用户问题
- [ ] AI 生成用户案例故事
- [ ] AI 翻译多语言版本

投放优化:
- [ ] AI 生成广告文案变体
- [ ] AI 分析投放数据

3.3 发布清单

发布前:
- [ ] Landing Page 完成
- [ ] 产品 Demo 可用
- [ ] 价格策略确定
- [ ] 社交账号准备

发布渠道:
- [ ] Product Hunt
- [ ] Hacker News
- [ ] Twitter/X
- [ ] 即刻
- [ ] V2EX
- [ ] 少数派
- [ ] 独立开发者社区

参考资源

成功案例参考

原产品AI 重做版差异化
Canva美图 AIAI 一键生成设计
NotionNotion AIAI 写作辅助
Excel表格 AI 工具自然语言操作表格
PPTGammaAI 生成演示文稿
简历模板AI 简历工具AI 定制简历内容

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 Product Ai Remake AI skill do?

AI 产品重做探索器 - 基于已验证产品的 AI 重做方法论。核心理念:AI 时代所有产品都值得用 AI 重做一遍。适用场景:(1) 寻找可 AI 化重做的成熟产品,(2) 评估产品的 AI 重做可行性和差异化机会,(3) 设计 AI 版本的产品方案,(4) 制定 AI 产品的推广策略。触发词:AI重做、产品重做、AI化、找产品、产品创意、产品机会、remake、重新定义。区别于从零开始的产品创意,本技能聚焦于站在巨人肩膀上的 AI 创新。

Why use Product Ai Remake on TypingMind?

Because you install it once and use it with any model. Product Ai Remake 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 Product Ai Remake in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chendongqi/OPB-Skills/tree/main/skills/product-ai-remake. 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 Product Ai Remake?

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 Product Ai Remake?

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

Is the Product Ai Remake AI skill free?

It is published on GitHub by chendongqi. 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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