juicebox-observability
Set up Juicebox monitoring. Trigger: "juicebox monitoring", "juicebox metrics".
Best use case
juicebox-observability is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Set up Juicebox monitoring. Trigger: "juicebox monitoring", "juicebox metrics".
Teams using juicebox-observability should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/juicebox-observability/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How juicebox-observability Compares
| Feature / Agent | juicebox-observability | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Set up Juicebox monitoring. Trigger: "juicebox monitoring", "juicebox metrics".
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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% |
| Query result relevance | Gauge | > 80% precision | < 60% |
## Instrumentation
```typescript
async function trackJuiceboxCall(operation: string, fn: () => Promise<any>) {
const start = Date.now();
try {
const result = await fn();
metrics.histogram('juicebox.api.latency', Date.now() - start, { operation });
metrics.increment('juicebox.api.calls', { operation, status: 'ok' });
return result;
} catch (err) {
metrics.increment('juicebox.api.errors', { operation, error: err.code });
throw err;
}
}
```
## Health Check Dashboard
```typescript
async function juiceboxHealth(): Promise<Record<string, string>> {
const searchP95 = await metrics.query('juicebox.api.latency', 'p95', '5m');
const errorRate = await metrics.query('juicebox.api.error_rate', 'avg', '5m');
const quota = await juiceboxAdmin.getQuotaUsage();
return {
search_latency: searchP95 < 2000 ? 'healthy' : 'slow',
error_rate: errorRate < 0.01 ? 'healthy' : 'degraded',
quota: quota.pct < 0.7 ? 'healthy' : 'at_risk',
};
}
```
## Alerting Rules
```typescript
const alerts = [
{ metric: 'juicebox.search.latency_p95', condition: '> 5s', window: '10m', severity: 'warning' },
{ metric: 'juicebox.api.error_rate', condition: '> 0.05', window: '5m', severity: 'critical' },
{ metric: 'juicebox.quota.daily_pct', condition: '> 0.85', window: '1h', severity: 'warning' },
{ metric: 'juicebox.ingestion.rate', condition: '< 50/s', window: '15m', severity: 'critical' },
];
```
## Structured Logging
```typescript
function logJuiceboxEvent(event: string, data: Record<string, any>) {
console.log(JSON.stringify({
service: 'juicebox', event,
operation: data.operation, duration_ms: data.latency,
result_count: data.resultCount, query_length: data.queryLen,
// Redact candidate PII — log only aggregate counts
timestamp: new Date().toISOString(),
}));
}
```
## Error Handling
| Signal | Meaning | Action |
|--------|---------|--------|
| 429 rate limit | Quota exhausted for period | Pause queries, check daily allocation |
| Search timeout > 5s | Complex query or service load | Simplify filters, retry with narrower scope |
| Ingestion stall | Dataset too large or format error | Check upload logs, validate schema |
| Empty result set | Index gap or query mismatch | Verify dataset freshness, adjust search params |
## Resources
- [Juicebox Dashboard](https://app.juicebox.ai/analytics)
## Next Steps
See `juicebox-incident-runbook`.Related Skills
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