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supabase-performance-tuning

5.8

by jeremylongshore

54Favorites
76Upvotes
0Downvotes

Optimize Supabase API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Supabase integrations. Trigger with phrases like "supabase performance", "optimize supabase", "supabase latency", "supabase caching", "supabase slow", "supabase batch".

performance

5.8

Rating

0

Installs

Backend Development

Category

Quick Review

The skill provides a clear structure with good separation of concerns (main skill file plus reference documents). The description adequately covers what the skill does and when to use it, with appropriate trigger phrases. However, taskKnowledge is moderate - while it outlines the right approach (baseline, caching, batching, pooling), the main SKILL.md lacks specific implementation details or code patterns that would be needed to actually perform these optimizations. The skill assumes referenced files contain examples and error handling. Novelty is moderate: while performance tuning requires domain knowledge, the specific techniques (caching, batching, pooling) are relatively standard patterns that a capable CLI agent could research and implement, though having them consolidated does provide some value. The skill would benefit from more concrete implementation guidance in the main file or clearer indication of what the reference files contain.

LLM Signals

Description coverage7
Task knowledge6
Structure8
Novelty5

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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