Core Insights - The article discusses the launch of CodePilot, a desktop client for Claude Code, highlighting its comprehensive features and user-friendly design [1][3]. Group 1: Key Features of CodePilot - CodePilot supports all core functionalities of Claude Code, including folder selection, model switching, slash commands, Skills invocation, and MCP server integration, providing a significantly improved user experience [3]. - The client offers enhanced chat history management, allowing users to easily access previous conversations, with each message displaying the associated cost for transparency [5][6]. - A visual configuration management interface has been introduced, enabling users to modify configuration files, Skills, MCP, and plugins without needing command line interaction [8]. - Users can preview the contents of folders directly within the application, making it easier to access text files and other resources [9]. - Third-party API configurations are supported, allowing flexibility for users who may not have direct access to the official API [11]. - The connection status of Claude Code is clearly displayed, providing guidance for users in case of connectivity issues [13][14]. Group 2: Agent Teams Collaboration - The article introduces the Agent Teams mode, which allows a main intelligent agent to delegate tasks to multiple sub-agents, enabling parallel work and real-time communication between agents [19][20]. - Enabling Agent Teams is straightforward, requiring users to update to the latest version of Claude Code and follow simple instructions to configure it [21]. - Tips for utilizing Agent Teams include having Claude assist in writing planning prompts, emphasizing the importance of preliminary research for role definition, and advocating for flexible role design tailored to specific tasks [23][25][27]. - The article emphasizes that the current era allows for rapid development of fully functional applications, with the use of Opus 4.6 proving to be cost-effective due to its efficiency and reduced need for corrections [30][31].

Core Viewpoint - The article outlines a comprehensive guide for configuring Clawdbot with Feishu, emphasizing the ease of using domestic models and the entire process being fully localized [2][35]. Group 1: Initial Setup - The first step involves creating a new bot application in the Feishu developer backend, which includes filling out the application name, description, background color, and icon [5]. - After creation, two key pieces of information, App ID and App Secret, must be noted for later configuration [6][7]. Group 2: Permission Configuration - The next step is to configure the bot's permissions by importing a JSON configuration that grants necessary access rights for message reception and sending [8][10]. - The permissions include various access rights such as reading and writing files, sending messages, and accessing chat events [9]. Group 3: Bot Activation - In the bot configuration page, a welcome message must be inputted to activate the bot's capabilities, which is essential for receiving messages [11]. Group 4: Clawdbot Configuration - The second step involves configuring the Feishu channel in Clawdbot, which requires running an installation command and selecting the Feishu option [14]. - If issues arise, such as a plugin already existing, manual deletion of the plugin folder is necessary before re-running the installation command [16]. - A known bug may require global installation of the zod dependency to proceed with the configuration [19]. Group 5: Final Configuration Steps - After filling in the required configuration information, it is crucial to select "Finished" to ensure successful addition [20]. - The configuration of direct message access policies is also necessary, with recommended settings for user interaction [24]. - Restarting the gateway is required to apply the new channel configuration [26]. Group 6: Event Subscription and Version Publishing - The final steps include configuring event subscription methods and adding the message receiving event to ensure the bot can receive messages [27][29]. - Publishing a version is essential for the bot's configuration to take effect [31][32]. Group 7: Pairing the Bot - The last step involves pairing the bot by sending a message to it in Feishu to receive a pairing code, which is then used to bind the bot in Clawdbot [34]. - Once configured, the Feishu bot will function correctly, especially when using domestic models [35].

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].

Core Viewpoint - Google has launched Genie 3, a world model capable of generating interactive video content in real-time at 24 frames per second and 720P resolution, which maintains consistency for several minutes [1][2][3]. Group 1: Features of Genie 3 - Genie 3 allows users to create and remix worlds, providing a high level of control over character movement and environmental interaction, with low latency even under high delay conditions [8][9][10]. - The model demonstrates impressive physical interactions, such as realistic character movements and consistent environmental stability during gameplay [12][19]. - Users can customize worlds and characters through a user-friendly interface, allowing for a wide range of creative possibilities [22][25]. Group 2: User Experience and Potential - The experience of using Genie 3 is described as highly engaging, with users expressing excitement about the potential for AI-driven interactive gaming and video content [5][30]. - The platform is seen as a significant advancement in gaming technology, making it accessible for more users to create their own game worlds and narratives [32][33]. - There is an anticipation for future updates that could enhance the capabilities of Genie 3, particularly in terms of computational power and the addition of random events [33][34].

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 ...