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ideogram-performance-tuning

6.4

by jeremylongshore

65Favorites
154Upvotes
0Downvotes

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

performance

6.4

Rating

0

Installs

Backend Development

Category

Quick Review

Well-structured skill with comprehensive technical guidance on optimizing Ideogram API performance through caching, batching, and connection pooling. The description clearly communicates when to use the skill and trigger phrases. Task knowledge is excellent with detailed code examples for LRU/Redis caching, DataLoader batching, connection pooling, and pagination. Structure is clean with logical sections and helpful reference tables. However, novelty is moderate—while useful, these are standard performance optimization patterns (caching, connection pooling, batching) that a competent CLI agent could implement with moderate token usage. The skill provides value through consolidated best practices and Ideogram-specific context, but doesn't represent highly complex or unique domain knowledge that would be prohibitively expensive to recreate.

LLM Signals

Description coverage8
Task knowledge9
Structure8
Novelty5

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

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jeremylongshore

Skill Author

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