Individual skill
juicebox-observability
Set up Juicebox monitoring. Trigger: "juicebox monitoring", "juicebox metrics".
plugins/saas-packs/juicebox-pack/skills/juicebox-observability/SKILL.md
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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 · 4,761 bytesreferences/implementation-guide.mddoc · 6,376 bytes
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# Juicebox Observability
## Overview
Juicebox provides AI-powered people search and analysis where query performance, dataset ingestion rates, and quota consumption are the primary observability concerns. Monitor analysis completion times to ensure interactive UX, track ingestion pipeline health for data freshness, and watch quota usage to prevent mid-workflow cutoffs. Slow queries or failed ingestions degrade recruiter productivity and data accuracy.
## Key Metrics
| Metric | Type | Target | Alert Threshold |
|--------|------|--------|-----------------|
| Search latency p95 | Histogram | < 2s | > 5s |
| Analysis completion time | Histogram | < 10s | > 30s |
| Dataset ingestion rate | Gauge | > 100 records/s | < 50 records/s |
| API error rate | Gauge | < 1% | > 5% |
| Quota usage (daily) | Gauge | < 70% | > 85% |