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exa-performance-tuning

6.4

by jeremylongshore

162Favorites
160Upvotes
0Downvotes

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

api-optimization

6.4

Rating

0

Installs

Backend Development

Category

Quick Review

Strong technical skill providing comprehensive performance optimization patterns for Exa API. Description clearly indicates when to use the skill with good trigger phrases. Task knowledge is excellent with concrete code examples for caching (LRU and Redis), batching (DataLoader), connection pooling, and monitoring. Structure is clear with logical sections, though all content is in one file which works for this scope. Novelty is moderate—while performance tuning combines multiple optimization strategies that would require substantial token usage for a CLI agent to discover and implement correctly, the individual patterns (caching, batching, pooling) are relatively standard backend optimization techniques. The skill adds clear value by providing tested implementations and decision guidance specific to Exa API.

LLM Signals

Description coverage8
Task knowledge9
Structure7
Novelty6

GitHub Signals

1,046
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Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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jeremylongshore

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