Xiaohongshu Comment Reply

《小红书运营手册 · AI工作台》评论区回复技能。用于用户想回复小红书评论、生成置顶评论、引导讨论、处理质疑、引导私信、维护账号人设或批量回复评论时触发。输入可以是笔记主题、账号语气、评论列表、是否希望转化和回复边界。输出多种语气回复、置顶评论和风险提醒。

Because you install it once and use it with any model. Xiaohongshu Comment Reply 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.

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mengke-wang/xiaohongshu-ai-workbench/tree/main/xiaohongshu-comment-reply. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

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.

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

Yes. It is published on GitHub by mengke-wang under the MIT license. You only pay your own AI provider for the tokens you use.

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.

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.