Individual skill

juicebox-performance-tuning

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Optimize Juicebox performance. Trigger: "juicebox performance", "optimize juicebox".

plugins/saas-packs/juicebox-pack/skills/juicebox-performance-tuning/SKILL.md

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Repository stars (not skill ratings): 2,916
Repository last updated: Nov 12, 2026
License: MIT

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ai Repository topic
automation Repository topic
claude-code Repository topic
devops Repository topic
mcp Repository topic
ai-agents Repository topic
anthropic Repository topic
claude-code-plugins Repository topic
developer-tools Repository topic
llm Repository topic
saas Declared skill tag
recruiting Declared skill tag
juicebox Declared skill tag
engineering Derived category

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SKILL.mdcore · 5,242 bytes

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# Juicebox Performance Tuning

## Overview

Juicebox's AI analysis API handles dataset uploads, analysis queue wait times, and result pagination. Large dataset uploads (100K+ rows) can block the analysis pipeline, while queue contention during peak hours increases wait times. Result sets from broad queries return thousands of profiles requiring efficient pagination. Caching search results, batching enrichment calls, and managing upload chunking reduces end-to-end analysis time by 40-60% and keeps interactive searches responsive.

## Caching Strategy

```typescript
const cache = new Map<string, { data: any; expiry: number }>();
const TTL = { search: 300_000, profile: 600_000, analysis: 900_000 };

[Credential-related source omitted]
  const entry = cache.get(key);
  if (entry && entry.expiry > Date.now()) return entry.data;