这比开个OpenCode或者开个Codex的漫长前戏，爽多了。 而且我给了他一个人设： OpenClaw（也就是Clawdbot）的热度还在继续。 在我自己经历了好几天的深度使用之后，说句实话，我开始连我最心爱的OpenCode都比较少打开了，以前操作电脑干点事，我真的都是先打开Codex或 者OpenCode，然后让他们去解决。 但是现在，我开始习惯于，在飞书上给OpenClaw下命令了，因为，这玩意实在太方便了，常驻后台，你几乎无感。 无论你人在哪，想起个啥，随时随地，打开飞书，直接发话。 周一的时候，我做了一个非常重要的决定，就是，把我的主力Macbook的一些重要和敏感文件备份了下来，然后直接把我的电脑，给重置了。 你看我的硬盘空间你就懂了。 从此以后，我就跟这个胖逼小龙虾一起成长，咱们反正一起从0开始，我用的电脑，也就是你的家园。 也提前感受一下，那个所谓人人都有个人通用Agen助理的生活。 这里我也稍微简单的提一下，你想得到最牛逼的体验，那OpenClaw一定要用Mac，别用服务器或Windows，差距真的超级巨大。 你的名字是小卡，你的身份：是我 数字生命卡兹克的 AI 员工，你的性格：幽默风趣 ...

Core Viewpoint - The article emphasizes the importance of utilizing existing open-source projects to create Skills, thereby avoiding redundant development and enhancing efficiency in various applications [2][3]. Group 1: Skills and Open-Source Integration - Skills can package scripts and prompts together, allowing for easier access to powerful open-source tools [3]. - The integration of open-source projects into Skills can significantly improve their success rate, stability, and efficiency compared to code generated on-the-fly by AI [3][4]. - The author has successfully created multiple Skills by wrapping open-source projects, demonstrating the practical application of this approach [8][12]. Group 2: Practical Applications and Examples - A notable example is the creation of a Skill for downloading videos from various platforms using the open-source project yt-dlp, which has garnered 143k stars on GitHub [10][11]. - The process involves using AI to search for relevant GitHub projects, packaging them into Skills, and iterating on them for improved performance [32]. - The article outlines a step-by-step method for creating a video downloader Skill, highlighting the efficiency of the process after initial setup [26][30]. Group 3: Broader Implications of Skills - The article suggests that the Skills framework allows ordinary users to leverage the vast knowledge and experience embedded in open-source projects, effectively transforming them into powerful tools [43]. - It posits that the current era provides unprecedented opportunities for individuals to access and utilize collective human knowledge, making advanced capabilities available to everyone [44]. - The author encourages readers to embrace this technological advancement, suggesting that it can significantly enhance their productivity and capabilities [45].

Core Viewpoint - The article discusses the significant updates in the Coze platform, particularly the introduction of version 2.0, which includes new features like Skills and Long-term Plans, making it more accessible for ordinary users to utilize AI capabilities [1][4]. Group 1: Skills Feature - The Skills feature allows users to create and utilize various skills, such as writing, designing, and video processing, with built-in options available for immediate use [6][39]. - Users can create their own skills easily, either through a simple voice command method or by uploading existing skill packages, thus lowering the barrier for entry [12][33]. - The article emphasizes the importance of skill abstraction, suggesting that any repetitive task should be transformed into a skill to enhance personal productivity [7][39]. Group 2: Long-term Plans Feature - The Long-term Plans feature enables users to set goals and receive step-by-step guidance from the AI, simplifying the execution process without the need for constant oversight [41][50]. - The article provides an example of a health plan created for 2026, showcasing how the AI can tailor a comprehensive plan based on user input and track progress over time [50][54]. - Notifications and reminders for the long-term plans are integrated into the platform, although currently limited to the web version, with expectations for mobile app support in the future [55][57].

Core Insights - The article discusses the rising popularity of "Skills" in the AI community, comparing it to the previous trend of "Prompts" [4] - Skills are defined as capabilities designed for agents, allowing for automation and efficiency in various tasks [5][19] - The article provides examples of how Skills can be utilized in practical applications, showcasing their potential value [18][62] Group 1: Definition and Importance of Skills - Skills are essentially a set of functionalities that enhance the capabilities of AI agents, enabling them to perform tasks more effectively [19][24] - The introduction of Skills by Anthropic in December 2022 has led to widespread adoption and integration into various AI tools [21][23] - Skills differ from traditional prompts as they are structured like a folder containing various resources, rather than just a single text command [23][32] Group 2: Practical Applications of Skills - The article presents two case studies demonstrating the use of Skills: an AI topic generation system and a package generator for GitHub projects [5][9] - The AI topic generation system automates the process of identifying trending topics by collecting data from multiple platforms and generating a list of relevant topics [6][7] - The package generator simplifies the use of open-source projects by creating a user-friendly interface for those with limited programming knowledge [18][46] Group 3: Structure and Configuration of Skills - A complete Skill typically includes a core file named SKILL.md, which contains essential information and instructions for the AI agent [37][38] - The structure of SKILL.md is crucial, as it defines how the agent will utilize the Skill, including a YAML header and detailed instructions [38][39] - The article emphasizes the importance of clear and concise descriptions in the SKILL.md file to ensure effective communication with the AI agent [39][40] Group 4: Installation and Usage of Skills - Skills can be installed easily through command prompts or by dragging the Skills folder into the appropriate local directory [48][54] - Once installed, Skills can be activated and utilized by the AI agent to perform specific tasks based on user commands [57][58] - The article encourages users to start creating their own Skills to enhance productivity and streamline workflows [62]

Core Viewpoint - The competition in AI programming tools has shifted from model capabilities to control over usage, pricing structures, and developer access channels, which has become the new battleground [2]. Group 1: Incident Overview - Anthropic announced stricter measures to prevent third-party tools from accessing the Claude model, leading to significant backlash from the developer community [3][4]. - Developers using tools like OpenCode and Cursor suddenly lost access to Claude, with some accounts being banned without warning [6][7]. - The restrictions specifically targeted OpenCode versions 1.1.8 and above, while GPT-4 via OAuth remained functional [8]. Group 2: Community Reaction - Developers expressed their dissatisfaction on platforms like GitHub, with many canceling subscriptions due to the abrupt changes [6][7]. - Users highlighted that the forced migration to Anthropic's official tools felt like a regression in their workflow [8][9]. - The community's response included over 147 likes and 245 points on Hacker News, indicating widespread discontent [6]. Group 3: Business Implications - The incident reflects a broader trend of Anthropic enforcing its service terms to prevent competitive use of its models, particularly against companies like xAI [10][11]. - The restrictions are seen as a move to protect Anthropic's business model, which relies on subscription fees rather than API usage [24][35]. - Developers perceive the subscription model as a "loss leader" aimed at integrating users into the Claude ecosystem rather than generating immediate profits [35]. Group 4: Technical and Strategic Considerations - The tools like OpenCode serve as critical links between subscription models and automated agents, allowing for greater flexibility in development [19][20]. - The sudden enforcement of restrictions raises concerns about the control and stability of third-party tools, which can impact user experience and model performance [22][23]. - The pricing structure of Claude Pro/Max is based on human interaction rates, creating a disparity in costs for high-frequency users [24][25]. Group 5: Future Outlook and Discussions - The community is divided on whether Claude Code should be open-sourced, with arguments for and against it reflecting the ongoing tension between control and innovation [33][34]. - Some developers advocate for a more balanced pricing strategy that aligns subscription plans with API usage, while others support Anthropic's approach to maintain competitive advantages [28][30]. - The incident has sparked a broader discussion about the future of AI programming tools and the importance of competition in fostering innovation [31][37].

Core Viewpoint - The article emphasizes the advantages of OpenCode as a superior alternative to Claude Code, particularly for users seeking a more open and user-friendly programming agent experience. It highlights the ease of installation and the extensive model support that OpenCode offers, making it accessible for ordinary users to engage with programming agents [1][2]. Installation and Setup - The first step is to install OpenCode, which is user-friendly and does not require command-line knowledge, unlike Claude Code [3][5]. - OpenCode supports various operating systems, including Windows, macOS, and Linux, and provides a straightforward installation process [4][6]. - After installation, users can add various models to OpenCode, including GPT, Gemini, and Claude, with a focus on maximizing the utility of existing subscriptions [12][16]. Model Integration - Users can integrate multiple models into OpenCode, allowing access to a wide range of AI capabilities. This includes both premium models for subscribers and free options for those without subscriptions [13][33]. - The article warns against using Claude Code with OpenCode due to its restrictive policies and recent account bans [16][20]. Plugin Installation - The article introduces the oh-my-opencode plugin, which enhances the functionality of OpenCode and simplifies the user experience by providing pre-configured expert roles for various tasks [35][39]. - Installation of the oh-my-opencode plugin is straightforward and follows a similar process to the initial OpenCode setup [45][51]. Conclusion - The combination of OpenCode and oh-my-opencode is presented as an ideal solution for ordinary users to begin their journey into coding with AI, offering a more accessible and less restrictive environment compared to Claude Code [53][54].