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Xhs Virtual Product

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chenjin-cmd
xhs-virtual-product

This skill helps plan, select, produce, and market Xiaohongshu (RED) virtual/digital products — templates, knowledge bases, test tools, study materials. Use it when the user wants to build a XHS virtual-product business: do product selection, tear down competitors, write XHS notes (cover/title/body/topics), set up a store, or produce cases like psychology tests, IELTS vocab stories, or shadowing sites. Always emphasize original, compliant products (no copyrighted or infringing material).

Overview

Publisherchenjin-cmd
Repositoryxhs-virtual-product
Skill namexhs-virtual-product
Stars
731
Forks
91
Bundled files
26
LicenseMIT
Links
Skill sourceRepository
  • 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.

  • 26 bundled files

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

  • Open source

    Published by chenjin-cmd on GitHub. Read the source before you install it.

Installation

Install the Xhs Virtual Product 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/chenjin-cmd/xhs-virtual-product/tree/main
  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/chenjin-cmd/xhs-virtual-product.git \
  .claude/skills/xhs-virtual-product
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Xhs Virtual Product 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 Xhs Virtual Product 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 Xhs Virtual Product 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.

小红书虚拟资料产品 Skill

何时使用

  • 用户想做小红书虚拟资料 / 模板 / 知识库 / 测试类 / 学习资料产品，但缺完整路径。
  • 用户要"选品""找对标账号/笔记""写商品笔记""起小红书店铺""做测试网页 / 词汇故事 PDF / 影子跟读资料库"。
  • 触发词示例：小红书虚拟资料、虚拟产品、选品、对标拆解、商品笔记、小红书开店、测试类变现。

⚠️ 合规红线（必读，最先执行）

虚拟资料产品的底线是只做原创、合规产品：

  • 不售卖侵权资料；不搬运带版权、机构标识、水印、授权限制的内容。
  • 不使用站外导流、虚假宣传、夸大收益、诱导交易等高风险表达。
  • 真正的产品用"自己的资料、自己的整理、自己的交付体系"。

执行任何制作 / 上架 / 发文动作前，先读 references/06-compliance.md，并用 assets/templates/compliance-checklist.md 逐项核查。平台规则（保证金、类目准入、营业执照等）变化快，references/04-store-ops.md 仅保留方法论骨架，具体数值以小红书千帆后台 / 官方文档当前规则为准。

主工作流（七步）

按此顺序推进，每步引用对应资料与模板：

  1. 认知 — 理解"虚拟产品 = 把信息/经验/模板/工具整理成可在线交付的解决方案"。详见 references/03-content-creation.md 的引言部分（轻读即可）。
  2. 选品 — 用 references/01-product-selection.md 的方法找机会，填 assets/templates/selection-checklist.md，并按 assets/templates/7day-plan.md 排期。
  3. 对标 — 用 references/02-competitor-teardown.md 找"低粉高销量"对标，填 assets/templates/competitor-teardown.md（借鉴逻辑，不照搬）。
  4. 制作 — 选一个案例跑通 MVP：references/05-product-cases.md（测试类 / 雅思词汇 / AI 编程 / 影子跟读）。
  5. 上架 — 用 references/04-store-ops.md 完成店铺、商品信息、交付与发货配置。
  6. 内容 — 用 references/03-content-creation.md 做封面/标题/内页/正文/话题/评论区；标题套 assets/templates/title-formulas.md，笔记套 assets/templates/note-template.md，评论区套 assets/templates/comment-reply.md。
  7. 复盘 — 每 3 天看点击/收藏/评论/咨询/成交，回到第 2、3 步迭代产品、标题、封面与商品页。

输出约定

每次交付给用户时，尽量产出结构化产物而非泛泛建议：

  • 选品阶段：一份填好的 selection-checklist.md + 3 个候选方向。
  • 对标阶段：一份填好的 competitor-teardown.md + "可优化点"清单。
  • 内容阶段：可直接复制的标题变体（套公式）、笔记正文、评论区话术。
  • 任何上架/发文前：贴出 compliance-checklist.md 的核查结果。

资源索引

用途文件
选品策略references/01-product-selection.md
对标拆解references/02-competitor-teardown.md
内容创作references/03-content-creation.md
开店与运营references/04-store-ops.md
产品案例references/05-product-cases.md
合规红线references/06-compliance.md
选品判断表assets/templates/selection-checklist.md
对标拆解模板assets/templates/competitor-teardown.md
商品笔记模板assets/templates/note-template.md
评论区话术assets/templates/comment-reply.md
合规检查清单assets/templates/compliance-checklist.md
七天实操路径assets/templates/7day-plan.md
标题爆款公式assets/templates/title-formulas.md

新增：账号拆解能力

用户给出小红书账号链接、笔记链接、截图或正文时，可以用新增的账号拆解流程。旧的选品、对标、制作和内容流程保持不变；这部分只是给“对标”多了一种拿材料和整理结论的办法。

先读：

  • references/07-data-collection.md：脚本能拿什么、拿不到什么、怎么运行。
  • references/08-evidence-rules.md：数字、截图和不同来源对不上时怎么写。
  • references/09-teardown-to-action.md：拆完后怎么变成自己的小产品和七天计划。

新增交付物：

  • assets/templates/evidence-ledger.md：记来源、数字和数据缺口。
  • assets/templates/action-brief.md：写自己的小产品、内容和下一步。

有 shell、Python 3.9+ 和 curl 时，可运行：

bash
python3 scripts/fetch_profile.py "<账号链接或24位user_id>" -o <仓库外工作目录>
python3 scripts/fetch_note.py "<同篇带token的笔记链接>" -o <仓库外工作目录>

主页脚本只尝试获取当前第一页和封面；笔记脚本需要用户提供同一篇笔记的 token。搜索、翻页、评论、店铺销量、订单和利润不在脚本范围内。拿不到的数据写“未获取”，不要编造。真实账号材料、图片和 token 不进仓库。

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 Xhs Virtual Product AI skill do?

This skill helps plan, select, produce, and market Xiaohongshu (RED) virtual/digital products — templates, knowledge bases, test tools, study materials. Use it when the user wants to build a XHS virtual-product business: do product selection, tear down competitors, write XHS notes (cover/title/body/topics), set up a store, or produce cases like psychology tests, IELTS vocab stories, or shadowing sites. Always emphasize original, compliant products (no copyrighted or infringing material).

Why use Xhs Virtual Product on TypingMind?

Because you install it once and use it with any model. Xhs Virtual Product 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 Xhs Virtual Product in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chenjin-cmd/xhs-virtual-product/tree/main. 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 Xhs Virtual Product?

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 Xhs Virtual Product?

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

Is the Xhs Virtual Product AI skill free?

Yes. It is published on GitHub by chenjin-cmd under the MIT license. 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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