Supabase Load Scale
ListedSimulates Supabase database load to identify bottlenecks and optimize performance scaling strategies.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill supabase-load-scale -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
jeremylongshore
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Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
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About this skill
What it does
This skill allows AI agents to analyze and adjust Supabase database load scaling configurations. It can assess current resource utilization, identify potential bottlenecks, and recommend adjustments to optimize performance and cost efficiency. The tool aims to automate the process of ensuring your Supabase instance is appropriately scaled for its workload.
When to use it
- You're experiencing slow query times or application latency on your Supabase database.
- Your Supabase bill seems unexpectedly high, suggesting over-provisioning.
- You anticipate a significant increase in user traffic or data volume.
- You want to proactively monitor and optimize your Supabase instance’s performance without manual intervention.
Key capabilities
- Resource utilization analysis
- Performance bottleneck identification
- Scaling configuration recommendations
- Automated adjustment of scaling parameters
Example prompts
- "Analyze my Supabase database load and suggest optimal scaling settings."
- "What are the current bottlenecks in my Supabase instance?"
- "I expect a 5x increase in users next week. How should I scale my Supabase resources?"
Tips & gotchas
This skill requires appropriate access permissions to your Supabase project. Incorrect configuration or overly aggressive scaling adjustments could impact database stability, so review recommendations carefully before implementation.