A desktop application for exploring, analyzing, and debugging Claude Code skills. Built with Tauri, React, and TypeScript, it helps operations teams identify and resolve issues in their AI workflows.
git clone https://github.com/SpillwaveSolutions/skills_viewer.gitThe skills_viewer is an essential tool designed for developers and AI practitioners who need to efficiently look at and debug the Claude Code Skills they are using. This intermediate-level automation skill streamlines the debugging process, allowing users to quickly identify issues within their AI automation workflows. By providing a clear view of the skills in action, it enhances the overall development experience and ensures smoother integration of AI agent skills into projects. One of the key benefits of the skills_viewer is its ability to save time during the debugging phase. While exact time savings are currently unknown, the skill's intuitive interface and functionality can significantly reduce the hours spent troubleshooting issues, enabling teams to focus more on development and innovation. This is especially valuable in fast-paced environments where efficiency is paramount. The skills_viewer is particularly suited for developers, product managers, and AI practitioners who are involved in creating or managing AI automation solutions. It is a valuable addition to any team looking to optimize their workflow automation processes. For example, a developer working on a data engineering project can utilize the skills_viewer to quickly debug any issues with the Claude Code Skills related to data processing, ensuring a more reliable and efficient system. Implementation of the skills_viewer is straightforward, requiring approximately 30 minutes to set up. Given its intermediate complexity, users should have a basic understanding of Claude Code and AI automation principles. This skill fits seamlessly into AI-first workflows, providing a critical layer of oversight and control that enhances the reliability of AI agent skills. By integrating skills_viewer into your development toolkit, you can ensure that your AI automation projects run smoothly and effectively.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/SpillwaveSolutions/skills_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.
Analyze the following Claude Code skill for potential issues: [SKILL_CODE]. Focus on [SPECIFIC_CONCERN] such as performance bottlenecks, error handling, or input validation. Provide a detailed report with recommendations for improvement.
# Skill Analysis Report ## Overview The provided skill appears to be a data processing tool designed for [INDUSTRY] companies. It handles [SPECIFIC_FUNCTION] operations with a focus on [KEY_FEATURE]. ## Potential Issues - **Performance Bottleneck**: The skill processes [DATA] sequentially, which may cause delays in high-volume scenarios. - **Error Handling**: The current error handling mechanism does not account for [SPECIFIC_ERROR_TYPE], which could lead to unexpected failures. - **Input Validation**: The skill lacks comprehensive validation for [INPUT_TYPE], potentially allowing invalid data to propagate. ## Recommendations 1. **Optimize Data Processing**: Implement batch processing or parallel execution to handle [DATA] more efficiently. 2. **Enhance Error Handling**: Add specific error handling for [SPECIFIC_ERROR_TYPE] to ensure robustness. 3. **Improve Input Validation**: Introduce validation checks for [INPUT_TYPE] to prevent invalid data from affecting the workflow.
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