cursor-performance-tuning

Featured

Optimize Cursor IDE performance: reduce memory usage, speed up indexing, tune AI features, and manage extensions for large codebases. Triggers on "cursor performance", "cursor slow", "cursor optimization", "cursor memory", "speed up cursor", "cursor lag".

AI & Automation 2,274 stars 319 forks Updated today MIT

Install

View on GitHub

Quality Score: 99/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Cursor Performance Tuning Diagnose and fix Cursor IDE performance issues. Covers editor optimization, indexing tuning, extension auditing, AI feature configuration, and strategies for large codebases. ## Performance Diagnostic Workflow ``` Step 1: Identify bottleneck ├── Editor lag? → Step 2 (Editor settings) ├── High CPU? → Step 3 (Extension audit) ├── Slow AI? → Step 4 (AI tuning) └── Memory? → Step 5 (Memory management) Step 2: Editor settings ├── Disable minimap, breadcrumbs ├── Reduce file watcher scope └── Increase memory limits Step 3: Extension audit ├── Profile running extensions ├── Disable heavy extensions └── Use workspace-scoped disabling Step 4: AI feature tuning ├── Optimize .cursorignore ├── Use faster models └── Manage chat history Step 5: Memory management ├── Close unused workspace folders ├── Limit open editor tabs └── Clear caches ``` ## Editor Optimization ### settings.json Performance Settings ```json { // Disable visual features for speed "editor.minimap.enabled": false, "editor.renderWhitespace": "none", "editor.guides.bracketPairs": false, "breadcrumbs.enabled": false, "editor.occurrencesHighlight": "off", "editor.matchBrackets": "never", "editor.folding": false, "editor.glyphMargin": false, // Reduce file watching scope "files.watcherExclude": { "**/node_module...

Details

Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category