Slide.code is a cross-platform Graphical Vibe Coding Environment (VCE) for Claude Code. It enables developers to write, test, and debug code visually. Operations teams benefit from faster development cycles and reduced errors. It connects to various tools and workflows, including databases, APIs, and cloud services.
git clone https://github.com/longtail-labs/slide.code.gitslide.code is a cross-platform Graphical Vibe Coding Environment (VCE) designed specifically for Claude Code users. This automation skill allows developers and AI practitioners to create and manage coding projects in a visually intuitive manner. By leveraging the capabilities of Claude Code, slide.code enhances the coding experience, making it easier to visualize and manipulate code structures. Although the time savings are currently unknown, the streamlined approach can significantly reduce the time spent on coding tasks, especially for complex projects. The key benefits of slide.code include its ability to simplify coding processes and improve productivity. With an intermediate implementation difficulty, users can set up the environment in approximately 30 minutes. This skill is particularly valuable for developers looking to enhance their workflow automation and for product managers who need to oversee coding projects without deep technical expertise. By utilizing slide.code, teams can expect to see improved collaboration and efficiency, as the visual coding environment facilitates better communication and understanding of project requirements. slide.code is best suited for developers, product managers, and AI practitioners who are involved in workflow automation and coding tasks. It is especially beneficial for those working in environments where visual coding can enhance understanding and speed up development cycles. For instance, a team working on a data engineering project can use slide.code to visualize data flows and coding logic, making it easier to identify bottlenecks and optimize processes. Implementation of slide.code requires an intermediate level of coding knowledge, but its user-friendly interface minimizes the learning curve. This skill fits seamlessly into AI-first workflows by allowing users to integrate AI automation into their coding practices. By adopting slide.code, teams can harness the power of AI to automate repetitive tasks, thereby freeing up time for more strategic initiatives. Overall, slide.code represents a significant step toward enhancing productivity in coding environments, making it a valuable addition to any developer's toolkit.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/longtail-labs/slide.codeCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Create a visual code diagram for a [COMPANY] in the [INDUSTRY] sector. The diagram should include [DATA] and demonstrate how to integrate it with [API/TOOL]. Ensure the diagram is clear, well-structured, and includes comments for each section.
# Visual Code Diagram for Retail Inventory Management System ## Overview This diagram illustrates a retail inventory management system for [COMPANY] in the retail industry. The system integrates with [API/TOOL] to provide real-time inventory updates and analytics. ## Components - **Database Integration**: Connects to the company's SQL database to fetch and update inventory data. - **API Gateway**: Facilitates communication between the inventory management system and external APIs. - **Analytics Module**: Processes inventory data to generate insights and reports. - **User Interface**: Provides a dashboard for inventory managers to view and manage inventory levels. ## Data Flow 1. **Database Connection**: The system starts by connecting to the SQL database to retrieve inventory data. 2. **API Integration**: The API gateway sends requests to external APIs to fetch additional data such as supplier information and market trends. 3. **Data Processing**: The analytics module processes the retrieved data to generate insights and reports. 4. **User Interaction**: The user interface displays the processed data and allows inventory managers to update inventory levels. ## Comments - Ensure that the database connection is secure and encrypted to protect sensitive inventory data. - The API gateway should handle rate limiting and error handling to ensure smooth communication with external APIs. - The analytics module should be optimized for performance to handle large datasets efficiently. - The user interface should be intuitive and user-friendly to facilitate easy navigation and management of inventory levels.
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