Set up comprehensive observability for Fireflies.ai integrations with metrics, traces, and alerts. Use when implementing monitoring for Fireflies.ai operations, setting up dashboards, or configuring alerting for Fireflies.ai integration health. Trigger with phrases like "fireflies monitoring", "fireflies metrics", "fireflies observability", "monitor fireflies", "fireflies alerts", "fireflies tracing".
View on GitHubjeremylongshore/claude-code-plugins-plus-skills
fireflies-pack
plugins/saas-packs/fireflies-pack/skills/fireflies-observability/SKILL.md
February 1, 2026
Select agents to install to:
npx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/main/plugins/saas-packs/fireflies-pack/skills/fireflies-observability/SKILL.md -a claude-code --skill fireflies-observabilityInstallation paths:
.claude/skills/fireflies-observability/# Fireflies.ai Observability
## Overview
Set up comprehensive observability for Fireflies.ai integrations.
## Prerequisites
- Prometheus or compatible metrics backend
- OpenTelemetry SDK installed
- Grafana or similar dashboarding tool
- AlertManager configured
## Metrics Collection
### Key Metrics
| Metric | Type | Description |
|--------|------|-------------|
| `fireflies_requests_total` | Counter | Total API requests |
| `fireflies_request_duration_seconds` | Histogram | Request latency |
| `fireflies_errors_total` | Counter | Error count by type |
| `fireflies_rate_limit_remaining` | Gauge | Rate limit headroom |
### Prometheus Metrics
```typescript
import { Registry, Counter, Histogram, Gauge } from 'prom-client';
const registry = new Registry();
const requestCounter = new Counter({
name: 'fireflies_requests_total',
help: 'Total Fireflies.ai API requests',
labelNames: ['method', 'status'],
registers: [registry],
});
const requestDuration = new Histogram({
name: 'fireflies_request_duration_seconds',
help: 'Fireflies.ai request duration',
labelNames: ['method'],
buckets: [0.05, 0.1, 0.25, 0.5, 1, 2.5, 5],
registers: [registry],
});
const errorCounter = new Counter({
name: 'fireflies_errors_total',
help: 'Fireflies.ai errors by type',
labelNames: ['error_type'],
registers: [registry],
});
```
### Instrumented Client
```typescript
async function instrumentedRequest<T>(
method: string,
operation: () => Promise<T>
): Promise<T> {
const timer = requestDuration.startTimer({ method });
try {
const result = await operation();
requestCounter.inc({ method, status: 'success' });
return result;
} catch (error: any) {
requestCounter.inc({ method, status: 'error' });
errorCounter.inc({ error_type: error.code || 'unknown' });
throw error;
} finally {
timer();
}
}
```
## Distributed Tracing
### OpenTelemetry Setup
```typescript
import { trace, SpanStatusCode } from '@opentelemetry/api';
const tr