supabase-cost-tuning
Optimize Supabase costs through tier selection, sampling, and usage monitoring. Use when analyzing Supabase billing, reducing API costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "supabase cost", "supabase billing", "reduce supabase costs", "supabase pricing", "supabase expensive", "supabase budget".
- License 许可
- MIT
- 最近更新
- 2026-11-12
- Stars
- ★ 2.0k
- Forks
- 231
01 前言 Front Matter
- name
- supabase-cost-tuning
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
- version
- 1.0.0
- description
- Optimize Supabase costs through tier selection, sampling, and usage monitoring. Use when analyzing Supabase billing, reducing API costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "supabase cost", "supabase billing", "reduce supabase costs", "supabase pricing", "supabase expensive", "supabase budget".
- allowed-tools
- Read, Grep
02 资源文件 4
- 参考文档references/cost-estimation.md767 B
- 参考文档references/cost-reduction-strategies.md766 B
- 参考文档references/errors.md302 B
- 参考文档references/examples.md306 B
03 SKILL.md 正文
Supabase Cost Tuning
Prerequisites
- Access to Supabase billing dashboard
- Understanding of current usage patterns
- Database for usage tracking (optional)
- Alerting system configured (optional)
Instructions
Step 1: Analyze Current Usage
Review Supabase dashboard for usage patterns and costs.
Step 2: Select Optimal Tier
Use the cost estimation function to find the right tier.
Step 3: Implement Monitoring
Add usage tracking to catch budget overruns early.
Step 4: Apply Optimizations
Enable batching, caching, and sampling where appropriate.
Output
- Optimized tier selection
- Usage monitoring implemented
- Budget alerts configured
- Cost reduction strategies applied
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Examples
See {baseDir}/references/examples.md for detailed examples.
Resources
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