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一个Skill卖了40万+ 小红书又出现一门暴利的好生意?

王亚茹 2026-05-28 06:34
王亚茹 2026/05/28 06:34

邦小白快读

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本文介绍了小红书正在内测的RedSkill红技能项目,催生了AI Skill变现的新赚钱机会,普通用户也可以入场实操,核心干货信息和实操方法如下:

1. 核心信息:Skill是AI Agent自动工具完成具体任务的配套SOP,RedSkill是小红书打造的AI Skill分发商店,目前处于内测阶段,暂不支持付费,但解决了原来Skill境外下载慢、不安全的问题,未来开放付费后会有更大变现空间。

2. 实操干货:入场要聚焦高频痛点需求,把一个问题解决到极致,突出省时间、省钱、省精力的可感知价值;把种草笔记做成产品说明书,直观展示使用流程和效果,通过评论区答疑建立用户信任;走站内闭环,用笔记挂链加社群沉淀,做口碑和产品迭代,形成正向传播循环。

3. 已有多个普通人入场赚到钱,比如教育博主卖AI英语Skill赚14万+,前大厂产品经理卖AI自动记账赚40万+,门槛较低适合普通人尝试。

本文揭示了当前AI消费领域的新趋势,以及小红书新出现的AI Skill渠道机会,能给品牌商布局AI相关业务提供参考,核心干货如下:

1. 消费趋势:当前用户已经愿意为轻量化、开箱即用的AI实用工具付费,AI消费化进程正在加速,付费需求集中在育儿学习、办公提效、个人管理、娱乐休闲等贴近日常生活的高频场景,用户更看重解决具体痛点,而非纯AI概念。

2. 新渠道机会:小红书依托自身活跃的AI内容社区,正在内测RedSkill,打造AI时代的应用商店,未来将成为AI相关产品品牌重要的流量入口和销售渠道,早期入场可以获得流量红利。

3. 营销参考:品牌可以参考现有博主的玩法,通过种草笔记展示痛点和实际使用效果,用评论区答疑积累信任,社群沉淀用户收集反馈迭代产品,非常适合AI相关新品牌的冷启动。

小红书AI Skill生意目前处于早期阶段,已经跑通了完整的变现闭环,是新的增量增长市场,给想要入场的卖家提供了清晰的机会提示和实操方法,核心干货如下:

1. 机会判断:小红书RedSkill内测完成开放付费后,会成为官方的AI Skill分发平台,目前相关话题浏览量已经超过25万,用户需求明确,虚拟AI Skill产品边际成本为零,利润空间大,早期入场有明显的流量红利。

2. 实操玩法:选学习、记账、求职这类高频刚需场景,做单一极致的解决方案,突出产品能给用户带来的可感知价值,解决用户痛点;把种草笔记做成产品说明书和答疑区,直观展示使用流程,打消用户不会用的顾虑,获取精准搜索流量;走站内闭环,通过笔记挂链加社群沉淀用户,收集反馈迭代产品,靠用户好评形成二次传播,打造正向增长循环。

3. 已有多个中小卖家验证了模式可行性,最高年入百万,模式已经跑通。

本文揭示了当前AI消费端的需求变化,给传统工厂推进数字化转型、开拓新商业机会提供了启示,核心干货如下:

1. 产品开发需求变化:当前消费者不接受虚无的AI概念,更愿意为能解决具体场景痛点、开箱即用的轻量化AI产品付费,核心要求是能帮用户降本提效,解决实际问题,工厂布局AI相关产品开发可以参考这个方向,避免概念化。

2. 新商业机会:小红书正在打造官方AI Skill分发平台,C端用户对各类实用AI Skill需求旺盛,如果工厂具备软件开发能力,可以对接小红书生态,开发覆盖不同生活、办公场景的Skill,直接触达C端用户打开新的销路。

3. 数字化转型启示:工厂可以借鉴该模式的思路,把复杂的技术能力转化为普通用户能感知的具体价值,通过内容种草直接触达C端用户,快速收集用户反馈迭代产品,减少中间环节,提升数字化转型的落地效果。

本文梳理了AI Skill分发领域的最新行业发展趋势,明确了当前行业的核心客户痛点,给AI相关服务商指明了新的发展方向,核心干货如下:

1. 行业发展趋势:随着AI Agent技术的普及,配套的Skill工具已经开始走向C端消费化,内容平台依托自身的内容和流量优势,正在转型成为AI技能分发平台,小红书RedSkill就是典型尝试,AI Skill分发赛道已经开启,早期有大量机会。

2. 核心客户痛点:对于AI创作者来说,原来Skill大多存储在境外网站,国内用户下载速度慢,没有稳定正规的分发渠道,用户担心安全问题信任度低;对于C端用户来说,大多数人不会配置调试AI,需要开箱即用的解决方案,痛点明显。

3. 服务商机会:服务商可以对接小红书RedSkill生态,为AI创作者提供Skill开发适配、运营指导、交付配套等相关服务,帮助创作者快速落地变现,抓住早期行业发展的红利,开辟新的业务增长曲线。

小红书布局RedSkill的尝试,给想要切入AI领域的平台商提供了可参考的实践经验,也明确了市场对AI分发平台的核心需求,核心干货如下:

1. 市场需求:当前AI技术已经成熟,大量开发者开发出了各类AI Skill,C端用户也有旺盛的使用需求,但市场缺少正规官方的分发渠道,普遍存在下载速度慢、安全没有保障、用户使用门槛高的痛点,市场对专业的AI Skill分发平台有强烈需求。

2. 可借鉴的平台做法:小红书依托自身已经成熟活跃的AI内容社区做基础,打造Skill分发平台,平台只负责提供分发链路和合规审核,不承担AI运算,极大降低了平台的技术和成本投入,同时解决了用户下载慢和安全合规的痛点,模式非常轻。

3. 运营和风险规避要点:可以先通过内测邀请优质创作者入驻,通过社区话题运营拉动用户关注,逐步开放付费功能完善变现闭环,同时要做好上架Skill的审核工作,筛掉恶意代码和违规内容,规避合规安全风险。

小红书推出RedSkill内测是AI产业落地消费端的全新动向,为研究AI消费化和内容平台转型提供了新的样本,核心研究相关干货如下:

1. 产业新动向:随着AI Agent技术的逐步普及,配套的Skill工具已经从技术圈走向大众消费市场,AI消费化进程正式启动,内容平台依托自身的流量和内容种草优势,正在切入AI应用分发领域,抢占AI时代的流量入口,形成了全新的产业生态位,流量分发格局正在发生变化。

2. 新商业模式验证:目前该领域已经跑通了基础商业闭环:创作者开发Skill,通过内容种草获取用户,平台提供分发、合规审核服务,用户付费获取开箱即用的AI服务,早期入场的创作者已经获得了不错的收益,模式可行性得到验证。

3. 待研究的新问题:后续平台如何建立合规审核机制、如何划分权责、如何平衡社区内容生态和商业化发展、如何分润,都是值得持续跟踪研究的新产业问题。

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我是 品牌商 卖家 工厂 服务商 平台商 研究者 帮我再读一遍。

Quick Summary

This article introduces Xiaohongshu's newly internal-tested project RedSkill, which has created new monetization opportunities for AI Skills that even average users can participate in. Key takeaways and actionable guidance are as follows:

1. Core background: An AI Skill is essentially a set of standard operating procedures (SOP) that let AI Agents automatically complete specific tasks. RedSkill is Xiaohongshu's new AI Skill distribution marketplace, currently in internal testing. It does not support paid transactions yet, but it has solved existing pain points including slow download speeds and security risks for overseas-hosted Skills, and is expected to unlock greater monetization potential once paid functionality opens.

2. Actionable tips: To get started, focus on high-frequency pain points, and optimize your Skill to solve one specific problem extremely well, highlighting tangible benefits in saved time, money and effort. Turn your Xiaohongshu recommendation post into a clear product manual that demonstrates workflows and results, and build user trust by answering questions in the comment section. Operate entirely within Xiaohongshu's ecosystem: link your Skill in posts, use group chats to retain users, collect feedback for product iteration, and build a positive word-of-mouth cycle.

3. Proven results: Multiple ordinary users have already profited from the model. Examples include an education blogger who earned over ¥140,000 selling an AI English Skill, and a former big tech product manager who earned over ¥400,000 selling an AI automated bookkeeping Skill. The barrier to entry is low, making it accessible for most people to try.

This article outlines new trends in consumer AI and the emerging channel opportunity from Xiaohongshu's RedSkill, providing actionable insights for brands looking to enter the AI space. Key takeaways are as follows:

1. Consumer AI trends: Users are now willing to pay for lightweight, ready-to-use AI tools, and consumer AI adoption is accelerating. Demand is concentrated in high-frequency daily scenarios including parenting and learning, office productivity, personal management, and leisure. Users prioritize solutions to specific pain points over abstract AI concepts.

2. New channel opportunity: Leveraging its active AI content community, Xiaohongshu is building RedSkill to become an app store for the AI era. It will emerge as a key traffic entry point and sales channel for AI product brands, and early entrants will capture significant traffic dividends.

3. Marketing insights: Brands can replicate the playbook used by early creators: demonstrate pain points and real-world results in recommendation posts, build trust via comment section engagement, and retain users in communities to collect feedback for product iteration. This model is particularly well-suited for cold-launching new AI brands.

Xiaohongshu's AI Skill business is in its early stage but has already developed a fully functioning monetization closed loop, creating a new incremental growth market. This article provides clear opportunity insights and actionable guidance for sellers looking to enter, with key takeaways as follows:

1. Opportunity assessment: After internal testing concludes and paid functionality launches, RedSkill will become Xiaohongshu's official AI Skill distribution platform. Related topics on the platform already have over 250,000 views, indicating clear existing user demand. As virtual products, AI Skills have zero marginal cost and very high profit margins, and early entrants enjoy clear traffic advantages.

2. Actionable playbook: Focus on high-frequency, essential scenarios such as learning, bookkeeping, and job searching, build a focused, optimized solution for one use case, and highlight tangible user value to solve pain points. Turn your Xiaohongshu post into a clear product manual with an FAQ section, demonstrate your workflow directly to address user concerns about usability, and capture targeted organic search traffic. Operate within Xiaohongshu's ecosystem: link your product in posts, retain users in communities, collect feedback for iteration, and drive secondary growth through user reviews to build a positive growth loop.

3. Proven model: Multiple small and medium-sized sellers have already validated the viability of this model, with the top earners reaching annual revenue of over ¥1 million. The monetization path is fully proven.

This article outlines shifting demand in consumer AI, offering insights for traditional factories looking to advance digital transformation and tap new business opportunities. Key takeaways are as follows:

1. Shifts in product development demand: Today's consumers reject hollow AI concepts, and are only willing to pay for lightweight, ready-to-use AI products that solve specific pain points in daily scenarios. The core requirement is tangible cost reduction and efficiency gains for end users. Factories developing AI-focused products can use this orientation to avoid over-investing in unproven concepts.

2. New business opportunities: Xiaohongshu is building an official AI Skill distribution platform, and end users have strong demand for a wide range of practical AI Skills. Factories with software development capabilities can integrate with the Xiaohongshu ecosystem, develop Skills for various life and office scenarios, and access end users directly to open up entirely new sales channels.

3. Digital transformation insights: Factories can adapt the core logic of this model: turn complex technical capabilities into tangible, user-perceivable value, reach end customers directly via content marketing, collect user feedback quickly for iteration, cut out unnecessary intermediaries, and improve the real-world outcomes of digital transformation initiatives.

This article summarizes the latest industry trends in AI Skill distribution, outlines core customer pain points, and identifies new growth directions for AI-focused service providers. Key takeaways are as follows:

1. Industry trends: As AI Agent technology becomes more widely adopted, supporting Skill tools are moving into the consumer market. Content platforms are leveraging their existing content and traffic advantages to transform into AI Skill distribution platforms, with Xiaohongshu's RedSkill as a leading example. The AI Skill distribution track is now open, and significant early-stage opportunities are available.

2. Core customer pain points: For AI creators, most existing Skills are hosted on overseas platforms, leading to slow download speeds for domestic users, a lack of stable, regulated distribution channels, and low user trust due to security concerns. For end users, most people lack the technical knowledge to configure and debug AI tools, creating strong demand for ready-to-use out-of-the-box solutions.

3. New opportunities for service providers: Service providers can integrate with the RedSkill ecosystem to offer AI creators supporting services including Skill development adaptation, operations guidance, and delivery support. This helps creators launch and monetize their products quickly, allowing service providers to capture early industry dividends and build a new business growth curve.

Xiaohongshu's RedSkill initiative offers actionable learnings for platforms looking to enter the AI space, and clarifies core market demand for AI distribution platforms. Key takeaways are as follows:

1. Unmet market demand: AI technology has matured, and large numbers of developers have built a wide range of AI Skills, while end users have strong demand for these products. However, the market currently lacks official regulated distribution channels, with widespread pain points including slow downloads, unaddressed security risks, and high barriers to use. There is strong market demand for dedicated professional AI Skill distribution platforms.

2. Replicable platform model: Xiaohongshu built its RedSkill distribution platform on top of its existing mature, active AI content community. The platform only manages the distribution link and compliance review, and does not host AI computation. This keeps the platform's technical and cost investment extremely low, while solving end user pain points around slow downloads and security compliance, creating a very asset-light model.

3. Operations and risk mitigation guidance: Platforms can start with an internal testing phase to invite high-quality creators to join, drive user engagement via community topic operations, and gradually roll out paid functionality to complete the monetization closed loop. Platforms must also implement strict review for all listed Skills to filter out malicious code and non-compliant content, and mitigate compliance and security risks.

Xiaohongshu's launch of the RedSkill internal test represents a new development in consumer-facing AI commercialization, offering a new case study for research on AI consumerization and content platform transformation. Key research insights are as follows:

1. New industry trends: As AI Agent technology matures and becomes more widely adopted, supporting Skill tools have moved beyond tech circles to reach the mass consumer market, marking the official start of the AI consumerization process. Leveraging their existing advantages in traffic and content-driven discovery, content platforms are now entering the AI application distribution space to capture the core traffic entry point in the AI era, establishing an entirely new industry niche and reshaping the existing traffic distribution landscape.

2. Validation of a new business model: A basic commercial closed loop has already been proven in this space: creators develop Skills, acquire users via content recommendations, the platform provides distribution and compliance review services, and users pay for ready-to-use AI services. Early entrants have already earned solid returns, confirming the model's viability.

3. Open research questions: Key open questions for continued industry tracking and research include how platforms will build effective compliance review mechanisms, how liability will be divided among stakeholders, how platforms will balance community content ecology and commercial development, and how revenue will be split between platforms and creators.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

“真的太牛了,小红书可以直接上传Skill了!”

最近,小红书低调开启“RedSkill”(红技能) 内测的消息,在AI圈子里炸开了锅。拿到内测邀请的博主,可以直接在笔记下方挂上自己的Skill。用户点击跳转,就是技能介绍页面,点击“去使用”按钮,安装完成就能在本地Agent上跑起来。

这一功能落地,意味着小红书正在尝试成为AI App Store。

虽然目前内测阶段还不支持付费购买Skill,但已经为AI博主的变现打开了想象空间。运营社注意到,在此之前,已经有人把自己的AI技能做成商品,在小红书赚到了真金白银:

有教育博主做了一个AI插件帮孩子学英语,赚了14万+;

前大厂产品经理靠一个AI自动记账快捷指令,年入百万,转型创业;

还有人把AI指令做成合集,一份定价十几元,卖了3000+ 份……

今天我们就来聊聊:小红书上AI Skill的生意,谁在卖,怎么卖?

01 第一批在小红书卖AI Skill的人,已经赚到钱了

要说清楚“Redskill”,得先知道Skill是什么。

今年年初,OpenClaw龙虾在国内爆火,这类开源Agent工具区别于大家熟悉的豆包、deepseek等AI聊天工具,它能自动操作电脑,帮用户完成各种复杂任务。目前主流Agent平台有三个:Claude Code、OpenClaw、Hermes。

这些Agent平台在执行具体任务时都需要配套的Skill。Skill,就相当于给“龙虾”们的一套完整SOP,你想让它帮你做PPT、写文案,就得装上对应的Skill。

小红书正在内测的“RedSkill” 就像是一个Skill商店。具备开发能力的创作者,可以发布笔记介绍自己的Skill,并在笔记下方挂上链接。用户刷到种草内容,点进去就能看到功能介绍,一键安装到本地。

技术上,RedSkill只负责提供平台,让创作者上传技能包、用户一键下载。小红书不负责跑AI,技能下载后在你自己的电脑上运行,用你自己的算力。

官方文档里还提到两个关键词:“加速”和“合规”。加速很好理解,很多Skill技能包存在国外网站,国内下载很慢,RedSkill把下载链路直接放在笔记下方,用户在平台种草某款Skill后,也不用跳转其他三方平台,一键下载安装。合规则意味着,小红书会审核上架的技能包,筛掉病毒和恶意代码,保障社区安全。

从5 月24日上线至今,话题 #REDSkill已经吸引了近2000人参与讨论,浏览量超过25万。不少内容创作者已经开始在小红书分享自己的Skill。比如,AI领域博主 @歸藏 上传了一个适合职场办公人制作PPT的 Skill,已有2800+ 人使用; @Sway蒸馏了一个“恋爱高手”Skill,685人已使用;还有用户写了一个运动打卡习惯养成的Skill,吸引了958人使用……

为什么小红书要做RedSkill?

一是抢占AI时代的流量入口。 当AI能力成为基础设施,谁能成为技能分发中心,谁就能掌握下一个时代的流量密码。

二是小红书的AI社区足够活跃。 大量用户在这里讨论、种草、分享AI使用心得,平台正尝试把Prompt、AI工作流、自动化技能包,变成可以被分发、被使用、甚至被售卖的内容资产。

换句话说,小红书正在把自己变成一个极具想象力的生态位——AI时代的App Store。

而在这个生态里,第一批入局的人,已经赚到了钱。

教育博主 @大Pur的Ai课,经常分享自己用GPT-4o带孩子低成本学英语的经验,在小红书有1.1万粉丝。她制作了一个AI Skill,用大模型机器人替代真人外教,帮小朋友学口语、学写作、学跟读。这款AI英语Skill定价68.8元,卖了2156份,单链接成交额超过14万+。

前大厂产品经理 @是Cayson,用飞书多维表格模板做了一个苹果手机自动记账的快捷指令,定价49.8元,卖了4 万多份,年入百万,顺利转型创业。今年他升级产品,做了AI版自动记账快捷指令,用DeepSeek大模型实现智能分类、智能备注、智能识别金额和日期,让用户记账更加方便,定价也涨到了59.8元/年,又卖出7000多份,销售额超40万+。

除了学英语、记账这些实用工具外,AI文字游戏指令也吸引了一批游戏爱好者买单。

这类指令像是一套发给AI的“剧本”,包含世界观、角色设定、游戏规则和故事开端,用户购买后发复制给AI,就能开启一场沉浸式文字冒险,比如“重生到末日来临前24小时囤货”、“重生成烂尾漫画作家”、“重生成豪门保姆”等。博主 @假发卫衣 就在小红书把12.9元的AI文游指令合集,卖出3000多份。

此外,还有卖网申填写提效Skill的、卖AIGC电影风格提示词和漫剧工作流的……在小红书,AI技能的消费化正在加速发生。

02 小红书上的AI Skill生意怎么做?

显然,AI Skill变现这门生意,目前还处于非常早期的阶段。那么,跑在前面的商家,都是怎么在小红书跑通生意闭环、卖货赚钱的?

1)聚焦高频需求,切中痛点做最优解

运营社观察发现,在小红书上卖得好的AI Skill,往往是“只解决一件事,但解决到极致”。首先是找对场景,学习、记账、求职、写作、排版……这些高频需求背后往往藏着大量付费意愿。

教育博主 @大Pur的Ai课,主页介绍是大厂高级AI对话机器人产品经理、微软认证提示词工程师,同时也是一位宝妈。她从2024年就开始在小红书分享自己带孩子学英语、做英语启蒙的经验。她聚焦的是“家长带孩子学英语”这个场景,切中家长“费钱、费时、费妈”的痛点。

前大厂产品经理 @是Cayson,则是瞄准“记账”这个刚需场景,记账App不少,但大多数需要用户手动输入,对懒人、拖延症患者很不友好。

真正能让用户买单的AI工具,还必须落到可感知的价值上,让用户明显感觉“省时间、省脑子、省钱”。

@大Pur的Ai课 用GPT机器人,替代真人外教,把口语、写作、跟读、写信、角色扮演等儿童英语学习需要的功能全部打包进去。她的口号是:“只做妈妈不陪读,辅导英语这么伤感情的事,还是交给AI。”在产品介绍中,强调“发音原汁原味、情绪价值拉满、一个月的费用只是一节外教课的钱、适配任意教材、无需妈妈辅导”,让英语学习真正做到“不费妈”。

前大厂产品经理 @是Cayson把 AI+ 飞书多维表格 +iOS快捷指令串成一条自动化链路。用户每次手机支付后,只用敲两下手机背面,快捷指令自动唤醒,AI识别金额、日期、商户,自动分类归档,还能生成可视化收支报表,不是“帮用户记账”,而是“让用户不用动脑子就能记账”。他的目标用户画像非常清晰:想记账但坚持不下来的懒人、拖延症患者。

2)笔记种草,把小红书做成“产品说明书+用户答疑区”

AI相关的插件、技能包,最怕的是“买了不会用”,不知道怎么安装、怎么配置、怎么使用。这些用AI变现的小红书博主,把种草笔记做成了产品说明书和售前答疑,让用户秒懂“这东西对我有什么用”“怎么用”“效果怎么样”。

大厂产品经理出身的宝妈 @大Pur的Ai课 ,笔记内容非常“接地气”,她把儿童英语学习的痛点和AI大模型的能力结合,直接给用户展示怎么用、效果怎么样。

在她的视频笔记中,最常见的形式是:妈妈出镜讲学习痛点、AI工具的能力和用户反馈;小朋友出镜展示学习过程和效果,主题也大多围绕家长关心的育儿问题,比如“幼儿园小朋友怎么用GPT机器人互动写作文”、“怎么跟机器人英语外教对话”、“彻底戒断孩子的中式英语”……

家长有不懂的地方,直接在评论区提问:“语速可以慢点吗”“10岁孩子可以用吗”“可以换教材吗”,博主一一回复,并提醒“求教程”的粉丝联系客服购买。用户刷到这些内容,也能快速建立信任。AI不再是虚无的概念,而是看到别人家孩子真实在用、真实有效。

@是Cayson则更直接,主页里发了大量“苹果手机点击背面自动记账”的录屏和视频,20秒就能展示完整流程。没有废话,只有实操。

当潜在用户在搜索“自动记账”“儿童英语启蒙”时,这些笔记就是精准的流量入口。

3)虚拟产品站内闭环,靠“笔记挂链+社群沉淀”跑通变现

目前,AI插件、提示词包作为一种虚拟产品,交付也非常轻,不需要直播带货,商家直接在笔记下方挂链接,或引导私信、进群,用户在站内就能完成购买、安装、使用,在小红书形成闭环。

用户进群后,可以随时提问、提需求、晒使用效果;博主则在群里发布更新、收集反馈。产品迭代和用户运营,全部在站内完成。

更关键的是二次传播。用户的好评晒单,直接发在笔记评论区,成为新用户的信任背书;真实的使用反馈,也能让博主快速迭代产品。比如,@是Cayson的快捷指令经过一年多的迭代,优化了自动识别金额等6 项功能。今年刚上线的AI版自动记账快捷指令,在小红书已经沉淀了500多条好评。

通过在站内沉淀大量真实的用户口碑,这类产品往往能形成“购买—使用—反馈—迭代—再传播” 的正向循环。

03 结语

不管是AI英语外教、自动记账助手,还是末日囤货文游指令,这些产品的本质都一样,把硬核的AI能力,翻译成普通人触手可及的服务。

以前用AI得会搜索、会配置、会调试,现在刷到种草笔记就能一键安装、开箱即用,门槛降低了,AI能力的消费品化就真正发生了。目前RedSkill仍处于内测阶段,暂不支持付费Skill,但平台已经为AI博主打开了巨大的变现想象空间。毕竟,淘金的人不一定赚钱,但卖铲子的人,永远有生意。

注:文/王亚茹,文章来源:运营研究社(公众号ID:U_quan),本文为作者独立观点,不代表亿邦动力立场。

文章来源:运营研究社

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