juicebox-prod-checklist

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Execute Juicebox production checklist. Trigger: "juicebox production", "deploy juicebox".

AI & Automation 2,266 stars 315 forks Updated today MIT

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# Juicebox Production Checklist ## Overview Juicebox provides AI-powered people search and analysis, enabling dataset creation, candidate discovery, and structured analysis across professional profiles. A production integration queries datasets, retrieves analysis results, and powers talent intelligence workflows. Failures mean missed candidates, stale analysis data, or quota exhaustion that blocks time-sensitive searches. ## Authentication & Secrets - [ ] `JUICEBOX_API_KEY` stored in secrets manager (not config files) - [ ] API key scoped to production workspace only - [ ] Key rotation schedule documented (90-day cycle) - [ ] Separate credentials for dev/staging/prod environments - [ ] Candidate data access restricted to authorized roles ## API Integration - [ ] Production base URL configured (`https://api.juicebox.ai/v1`) - [ ] Rate limiting configured per plan tier - [ ] Dataset creation and query endpoints tested end-to-end - [ ] Analysis result pagination implemented for large datasets - [ ] Search query optimization validated (precision vs recall tradeoffs) - [ ] Bulk analysis requests batched to avoid rate limits - [ ] Result caching configured for repeated queries ## Error Handling & Resilience - [ ] Circuit breaker configured for Juicebox API outages - [ ] Retry with exponential backoff for 429/5xx responses - [ ] Candidate data encrypted at rest in downstream storage - [ ] GDPR/CCPA retention policy enforced on stored profiles - [ ] Empty result sets handled...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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