Optimize Cursor IDE performance. Triggers on "cursor performance", "cursor slow", "cursor optimization", "cursor memory", "speed up cursor". Use when working with cursor performance tuning functionality. Trigger with phrases like "cursor performance tuning", "cursor tuning", "cursor".
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: "cursor-performance-tuning" description: | Optimize Cursor IDE performance. Triggers on "cursor performance", "cursor slow", "cursor optimization", "cursor memory", "speed up cursor". Use when working with cursor performance tuning functionality. Trigger with phrases like "cursor performance tuning", "cursor tuning", "cursor". allowed-tools: "Read, Write, Edit, Bash(cmd:*)" version: 1.0.0 license: MIT author: "Jeremy Longshore jeremy@intentsolutions.io"
Cursor Performance Tuning
Overview
This skill helps optimize Cursor IDE performance. It covers performance diagnostics, editor optimization settings, extension management, AI feature tuning, and indexing configuration to ensure a fast and responsive development experience.
Prerequisites
- Cursor IDE installed
- Access to Cursor settings
- System monitoring tools available
- Understanding of extensions and processes
Instructions
- Use Process Explorer to identify bottlenecks
- Disable visual features for performance gains
- Configure file watcher exclusions
- Audit and disable heavy extensions
- Optimize AI feature settings
- Set up aggressive .cursorignore
Output
- Improved editor performance
- Reduced CPU and memory usage
- Faster AI completions
- Optimized indexing configuration
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Examples
See {baseDir}/references/examples.md for detailed examples.
Resources
More by jeremylongshore
View allRabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.
evaluating-machine-learning-models: This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".
building-neural-networks: This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").
Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.
