CursorLens is an open-source dashboard designed for the Cursor.sh IDE, enabling users to log AI code generations, track usage, and manage AI models seamlessly. Whether running locally or through an upcoming hosted version, it enhances coding efficiency and analytics.
claude install HamedMP/CursorLenshttps://www.cursorlens.com/docs/getting-started/installation
Log and analyze AI code generation metrics to improve development efficiency.
Manage and configure local AI models for tailored coding assistance.
Track and visualize usage patterns to identify areas for optimization.
Integrate seamlessly with Cursor.sh IDE for enhanced AI-assisted coding.
claude install HamedMP/CursorLensgit clone https://github.com/HamedMP/CursorLensCopy 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 AI code generation data from [PROJECT_NAME] in CursorLens. Identify the most frequently used AI models and their success rates. Provide insights on how to optimize AI usage for [SPECIFIC_TASK] in [PROGRAMMING_LANGUAGE].
# AI Code Generation Analysis for [PROJECT_NAME] ## Most Frequently Used AI Models - **Model A**: Used 45% of the time, success rate 87% - **Model B**: Used 35% of the time, success rate 78% - **Model C**: Used 20% of the time, success rate 92% ## Optimization Recommendations - **For [SPECIFIC_TASK]**: Consider switching to **Model C** for higher success rates. - **For [PROGRAMMING_LANGUAGE]**: Implement pre-processing steps to improve input quality for **Model A**.
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