Claude Code Viewer is a web-based client for managing Claude Code projects. It provides interactive functionality for operations teams to view, edit, and manage code projects. It connects to Claude Code repositories and integrates with existing workflows.
git clone https://github.com/d-kimuson/claude-code-viewer.gitThe claude-code-viewer is a comprehensive web-based client designed specifically for managing Claude Code projects. This skill allows users to interactively navigate through conversation logs, automate messaging tasks, and collaborate seamlessly by uploading and previewing files directly within the chat interface. With its intuitive web interface, users can create and manage new projects efficiently, while also monitoring and controlling running sessions in real-time. This functionality is particularly beneficial for teams that require agile project management and streamlined communication. One of the key advantages of the claude-code-viewer is its ability to save time by automating repetitive tasks. For instance, users can schedule automated messages for recurring tasks using cron expressions, which eliminates the need for constant manual intervention. Although specific time savings are not quantified, the efficiency gained from quick searches through conversation logs and the ability to manage projects from a single interface can significantly enhance productivity. This skill is particularly valuable for developers, product managers, and AI practitioners who are looking to optimize their workflow automation and improve team collaboration. The claude-code-viewer is ideal for professionals involved in AI automation and project management. Whether you are a developer looking to streamline your coding projects or a product manager needing to oversee multiple tasks, this skill provides the necessary tools to enhance your operations. Its intermediate implementation difficulty means that users should have a basic understanding of web-based applications, but the 30-minute setup time makes it accessible for most users. Incorporating the claude-code-viewer into your AI-first workflows not only enhances project management but also aligns with modern practices in AI automation. By leveraging this skill, teams can ensure smooth operations and effective communication, ultimately driving better results in their AI initiatives. With a growing number of use cases, including real-time session monitoring and efficient project management, the claude-code-viewer skill stands out as a valuable asset for any AI-driven organization.
1. Access the Claude Code Viewer web client and log in with your credentials. 2. Navigate to the 'Repositories' section and select the project you want to review. 3. Use the 'Code Changes' tab to filter changes by time period, author, or branch. 4. Click on each change to view the diff and leave comments or suggestions. 5. For a more comprehensive review, use the 'Code Analysis' tool to identify potential issues and areas for improvement. 6. Share your findings with the team by exporting the review as a report or generating a pull request with your suggested changes.
Quickly search through conversation logs to find specific interactions or insights.
Schedule automated messages for recurring tasks using cron expressions.
Upload and preview files directly within the chat interface for seamless collaboration.
Create and manage new projects efficiently from the web interface.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/d-kimuson/claude-code-viewerCopy 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.
Review the code changes in the [PROJECT_NAME] repository from the last [TIME_PERIOD] and identify any potential issues or areas for improvement. Provide a summary of the changes and suggest specific optimizations or best practices that should be followed. Also, check if the changes align with the project's coding standards and guidelines.
After reviewing the code changes in the 'E-commerce Platform' repository from the last sprint, I've identified several areas for improvement. The new checkout module has introduced some performance bottlenecks due to inefficient database queries. I suggest implementing query caching and optimizing the SQL statements. Additionally, the team has been inconsistent with the use of dependency injection, which could lead to tighter coupling between components. I recommend enforcing the use of dependency injection throughout the project to improve maintainability. Lastly, the new API endpoints are not following the RESTful conventions established in the project's guidelines. I suggest revisiting the API design to ensure consistency.
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