Cursor Usage Analytics
Track Cursor usage patterns, model preferences, and code-quality improvements. Optimize your AI-assisted development workflow through data-driven insights.
Understand how you use Cursor's AI features to optimize configuration, reduce costs, and improve code quality. Track agent modes, analyze code patterns, and measure the impact of AI assistance on your development workflow.
Capabilities
Use cases
Try it
Example prompts to use with this skill
Set up basic Cursor usage tracking
from cursor_analytics import CursorAnalytics
analytics = CursorAnalytics()
analytics.log_session(
mode='composer',
model='claude-3.5-sonnet',
tokens_used=2500,
code_lines=45,
duration_minutes=15
)
# Get weekly summary
summary = analytics.get_usage_summary(days=7)
print(f"Sessions: {summary['total_sessions']}")
print(f"Lines generated: {summary['total_lines']}")How can I optimize my Cursor costs?
from cost_optimizer import CostOptimizer
optimizer = CostOptimizer()
breakdown = optimizer.get_cost_breakdown(days=30)
print(f"Monthly cost: ${breakdown['total_cost']:.2f}")
# Get optimization suggestions
suggestions = optimizer.suggest_optimizations()
for tip in suggestions['suggestions']:
print(f"💡 {tip}")
Tips:
- Use claude-3.5-sonnet for most tasks
- Reserve opus for complex refactoring
- Track which models you use mostAdd to your AI assistant
Choose your AI assistant and run the command in your terminal
curl -fsSL https://raw.githubusercontent.com/n3wth/newth-skills/main/skills/cursor-usage-analytics.md -o ~/.cursor/skills/cursor-usage-analytics.mdCopycurl -fsSL https://raw.githubusercontent.com/n3wth/newth-skills/main/skills/cursor-usage-analytics.md -o ~/.claude/skills/cursor-usage-analytics.mdCopyDiscussions
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