昨天 Clawdbot 2026.2.2 更新官方支持了飞书的集成插件。 这代表着国内用 Clawdbot 完全可以使用国产的整个流程去替代了。 你可以用国产的模型，然后连接到飞书，完全不用担心网络问题。 然后飞书还能用群聊跟很多人聊天，非常好玩，Clawdbot 的应用性拉满了。 第一步：在飞书开发者后台创建机器人 去飞书开发者后台，创建一个新的机器人应用。这一步很简单，填写应用名称、应用描述，选个背景色和图标就行。 创建完成后，你需要记下两个关键信息：App ID 和 App Secret。 这两个 ID 在后面配置 Clawdbot 的时候要用到，都在「凭证与基础信息 - 应用凭证」这里能找到。 配置飞书机器人权限 进入权限管理，找到「批量导入导出权限」，权限配置 JSON，直接复制过来，点击导入。在 Clawdbot 官方文档的飞书配置页 面有现成的，全选导入就可以了。 { "scopes":{ "tenant":[ "aily:file:read", "aily:file:write", "application:application.app_message_stats.overview:read ...

Core Viewpoint - The article provides a detailed guide on configuring the Clawdbot model on Macmini, highlighting common issues and solutions during the setup process. Configuration Process - The preferred method for configuration is using the command `openclaw configure`, which resolves most issues [6][7]. - During the configuration, users are prompted to select between local or remote setup, choose the model, and input their API Key [9]. Model Selection - There are specific selections for models: for Minimax M2.1, select Minimax; for Kimi K2.5, select moonshot AI [11][12]. - After selecting a model, users should navigate through options using the arrow keys to find the highlighted selection [13]. - Kimi has a coding plan option, while Minimax does not, even if the user has a coding plan membership [14]. Domestic and International Versions - A critical point is the distinction between domestic and international versions of Minimax; users must select 'cn' for domestic coding plan members and the version without 'cn' for overseas members [16]. - Incorrect selections can lead to configuration issues, which can be rectified by manually editing the configuration file [17]. Configuration File Editing - The configuration file is located at `/Users/your_username/.openclaw/openclaw.json`, where users can modify the `baseURL` [18]. - The correct URLs are: domestic version - `api.minimaxi.com`, international version - `api.minimax.io` [23]. Model Switching - After configuration, switching models is straightforward using the command `/model` in the TUI interface, which is initiated with `openclaw tui` [27]. - It is advisable to open a new window with the `/new` command before switching models to avoid issues [29]. Output Issues - The "no output" problem may occur after switching models, indicating that the output is directed to another environment rather than a configuration failure [30]. - Users should check other environments, such as web platforms, to confirm successful configuration [31]. Supported Models - The Clawdbot currently supports three major domestic models, all of which have been successfully configured: Kimi (domestic version), Minimax (international version), and GLM (international version) [34]. Summary of Configuration Steps - The core steps for configuring Clawdbot models are: use `openclaw configure`, manually edit the `baseURL` if necessary, and switch models using the `/model` command [37].

谷歌在去年夏天发布了一个世界模型 Genie 3。 结果我去，太牛批了！ 我感觉今年一定是 AI 互动游戏和互动视频的大年！ 简单总结一下 Genie 3 的特点： 口说无凭，我们来看看藏师傅跑的一些测试。 首先我自己创建了一个史前森林世界，角色我选了一个恐龙。 支持实时生成 24 帧 720P 可以可以交互的视频内容。 而且还可以保持超过几分钟的一致性。 演示视频真的很顶，但是由于成本太高一直没有开放使用。 刚刚，谷歌宣布美国 18 岁以上的 Ultra 用户可以直接尝试 Genie 3。 藏师傅赶紧去试了一下，趁着人少。 它会先生成一张首帧图片，你确定没问题了就可以开始生成世界。 可以看到我在本身连接美国服务延迟很高的情况下，这个 视角控制和角色 运动控制都非常跟手。 差不多跟顶着高延迟玩美服游戏差不多。 而且恐龙运动非常顺滑和符合生物特征， 角色一致性保持的很好 ，几乎没有变化。 操控延迟非常低 可以控制角色的方向和镜头的方向。 画面清晰度相当可以用 角色跟环境的物理交互相当真实。 可以持续操控角色超一分钟 我故意进行了一些大幅运动，环境一致性也没问题，没有突然变化和抽搐。 这时候我发现不对了，这东西好 ...

Core Insights - Kimi has launched its K2.5 model, which features enhanced aesthetic capabilities and supports multimodal recognition for videos, significantly improving the visual quality of AI-generated web pages [1][5][32] Group 1: Design Capabilities - K2.5 can better adhere to design drafts and prompts, making it easier for designers to realize their visions [8] - For non-designers, K2.5 simplifies the process by allowing users to input content without needing to find attractive design references [8] - The model has shown proficiency in replicating complex interactive components, such as a tab-switching interaction video, demonstrating its advanced multimodal and code generation capabilities [9][17] Group 2: Iterative Design Process - The iterative process with K2.5 allows for easy feedback through screenshots and annotations, leading to quick adjustments and refinements [13][19] - After several iterations, K2.5 successfully recreated a smooth animation effect for a card component system, showcasing its ability to handle multiple card types and animations [30][31] - The model can generate a design system website based on specific prompts, indicating its capability to create comprehensive design specifications [46][49] Group 3: Performance and Limitations - K2.5's performance is notably enhanced in the Agent mode, which allows for higher task completion rates by utilizing virtual machines and various tools [39] - Despite significant improvements, K2.5 still struggles with capturing precise design details, such as small corner radii and specific color values, which remains a challenge for multimodal models [66][68]

Core Viewpoint - The article introduces a new skill for generating images and covers for articles, emphasizing its utility in content production and the various styles available for image generation [3][8]. Functionality Overview - The skill supports analysis of any document format in the current folder and can generate images in bulk for each section [5]. - It includes three built-in styles: ticket style, vector illustration style, and gradient glass card style, allowing users to choose their preferred image style [8]. - Users can select image resolution (2K, 4K) and aspect ratio (16:9, 3:4), and can opt for a summary cover image [10]. Usage Instructions - Installation of the skill can be done via terminal using a specific command, followed by entering an API key from AI Studio [11][12]. - After installation, users can interact with the AI to generate images based on their document content and preferences [13][14]. Design Style Requirements - The article outlines specific design style requirements for generating a cover poster, including the use of varying font sizes, a black-and-white color scheme, and a layout reminiscent of tickets or boarding passes [17]. - It emphasizes the importance of visual flow, whitespace, and the integration of Eastern and Western design aesthetics [17]. Conclusion - The article encourages readers to explore the GitHub project for the skill and engage with the content by liking or sharing [18][19].

Tip Youware 更新的 Youbase 和 Coview 能力非常牛皮，直接 把 Vibe Coding 门槛拉低一万倍 。 主要介绍我用 Youware 开发的 AI 日记软件，并以这个为例教大家使用 Youware 最近上线的 Coview 和 YouBase 能力构建具体完整能力和可变现的应用。 前段时间看到了马伯庸说自己重新开始写日记了，还分享了自己的日记方式。 我发现他写日记的方式跟 Karpathy 分享的笔记方式很像。 很多朋友现在还在用，没想到粘性这么高。 都是 Append-only 模式，只记录事实，不打标签、不分类，摩擦很低，可以极大的提高记录的积极 性。 我发现这种单文件的记录方式其实非常适合 AI 时代： 只有一个文件、只有事实导致即使一年的记录也只有几万字，都达不到常见模型上下文长度。 可以方便的把一整年的日记拿给 AI 分析，相当于属于你自己的 ChatGPT 记忆，任何模型都能用。 刚好那几天 Youware 上线了 YouBase 的 AI 后端和数据库 服务。 我就在想能不能做一个践行这种日记方式的应用，给我自己用。 没想到真的搞了一个全平台的完整产品 Vibe D ...

最近 Claude Code 和 Skills 非常火，但想靠 AI Skills 变现？现实很残酷： 教一下 在哪里找技能 、怎么用自然语言做技能 、怎么部署上架并开通按月付费 。顺便介绍一下其他能 力。 技能（Coze Skill）的使用 首先是 Skills 的是使用部分，其实你不需要新建 Skills，这次 Coze 做了非常多官方的技能以及上线了一 个技能商店。 他们将原来的表格处理、PPT 生成、网页生成、播客生成都打包成了官方的技能，你可以在首页输入 框下方调用。 Coze 2.0 的更新，就是在解决这些问题： 如何让有认知的人，不需要工程能力，也能参与 AI 生态的价值分配？ 同时他们还更新了一个长期计划能力帮你指定计划监督你执行，同时给你非常多相关计划信息和上下文 的帮助。 安装 CLI 工具就能消耗半天 调试 API 调用时，总是莫名其妙报错 好不容易做出来，却不知道怎么让别人用到 | ■ 凝重计划制定任务 ▼ | | ○ 对话 归 日程 □ 文件 | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | 有更新叮咚!我 ...

Core Viewpoint - The article discusses the development of a new skill for generating PowerPoint presentations with enhanced features, including animated transitions and video exports, using AI technology. Group 1: Skill Features - The updated PPT generation skill now prompts users to choose whether to include video transitions, resulting in both image and video presentations being exported [5][9] - The video presentation includes a webpage designed for easy playback, featuring a dynamic cover page that loops to capture audience attention [6][7] - The skill automatically saves all generated PPT images and provides a webpage for presentation control [27] Group 2: Installation and Setup - The project is open-sourced, with a detailed installation guide provided for users to set up the skill in CLI tools like Claude Code or OpenCode [13][15] - Users need to prepare API keys from Google and Kling to utilize the image generation and video transition features, with specific instructions on obtaining these keys [18][19] - The installation process involves creating a skill directory, cloning the project, installing dependencies, and configuring API keys [22] Group 3: Workflow and Process - The workflow for generating presentations involves analyzing user input documents, generating images, and creating video transitions using specified APIs [34][35] - A meta-prompt is designed to generate specific prompts based on the images created, which is expected to add significant value in future applications [36] - The article emphasizes the complexity of the FFmpeg video composition process, which integrates images and videos into a cohesive presentation [38] Group 4: Insights and Future Implications - The development of this skill reflects a significant advancement in AI capabilities, suggesting that AI coding is reaching a critical point where it can self-direct and replicate functionalities [41] - The author notes that the cost of developing this skill was approximately $20, highlighting the affordability of creating advanced AI-driven tools [40] - The article concludes with a reflection on the potential future significance of these developments in AI technology [42]

这几天 Cluade Code 的热度真的很高。 除开他强大的编程能力之外，Skills 这种可以用 AI 辅助构建简单 Agent 的能力对于 CC 的加持也很大。 我这几天也创建了几个 Skills 来辅助我的内容创作，比如今天刚做的这个 Nano Banana PPT 生成的 Skills。 可以直接将你的文档转换为可以直接进行演示的 PPT： 今天就顺便教一下大家怎么用这个 Skills 以及我是如何创建这个 Skills 的，方便大家参考这个过程创建自己需要的 Skills。 怎么安装这个 Skills 首先前提肯定是你已经安装了 Claude Code ，还有一个是需要准备一个谷歌的已付费 API ，你可以在 AI Studio 里面申请。 那天我装 Oh-my-OpenCode 的时候看到他们 Readme 里面有专门给编程 IDE 看的安装指南和提示词。 你只需要复制那个提示词给 Claude Code 或者其他类似编码 Agent 它就可以帮你自动安装了。 这个太好用了，极大的降低了非开发者安装的门槛，感觉以后会成为标配。 藏师傅这个 PPT 生成 Skills 开源的时候也学了一下。 你只 ...

Core Insights - The article reflects on significant changes and developments in the AI industry and personal career transitions over the past year, highlighting the importance of adapting to new technologies and platforms [2][3]. Group 1: Personal Career Changes - The author transitioned from a designer at a large company to a freelancer, focusing on leveraging AI to create a sustainable one-person business that benefits industry peers [4]. - The shift in focus from self-judgment based on data to long-term interests and skills has led to a more relaxed yet productive work rhythm [4]. Group 2: Social Media and Content Creation - The author does not identify as a traditional content creator, which has helped avoid data anxiety and internal conflict, although it has also led to slower adaptation to platform changes [5][6]. - Twitter and Jike have been primary platforms for engagement, with the author achieving a significant following of nearly 25,000 on Jike and 110,000 on Twitter, emphasizing the importance of interaction with international users [12][10]. - The author has started producing videos, which have performed well on platforms like Douyin and Xiaohongshu, indicating a shift towards video content as a necessary adaptation in the AI landscape [17][19]. Group 3: AI Community and Networking - The author has developed a paid community to support the AIGC Weekly, which has proven effective in fostering collaboration and sharing among members [21][30]. - A recent promotional event for the community attracted around 2,000 paid members, showcasing the potential for community-driven marketing strategies [28]. Group 4: AI Product Development - The article discusses the rise of Vibe Coding and Agent tools, highlighting their significance in the AI programming landscape and the author's contributions to tutorials and community knowledge sharing [38][34]. - The author has engaged with various AI product teams, gaining insights that enhance understanding of industry trends and product development [43]. Group 5: Future Trends in AI - The article anticipates key technological breakthroughs in AI, particularly in reinforcement learning and multi-modal capabilities, which are expected to drive significant advancements in the coming years [52][55]. - The emergence of products like Chatwise and Manus is noted for their potential to redefine user interaction with AI, indicating a shift towards more integrated and user-friendly AI solutions [58][60].