fireflies-prod-checklist

Execute Fireflies.ai production deployment checklist with health checks and rollback. Use when deploying Fireflies.ai integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "fireflies production", "deploy fireflies", "fireflies go-live", "fireflies launch checklist".

1,868 stars

Best use case

fireflies-prod-checklist is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Execute Fireflies.ai production deployment checklist with health checks and rollback. Use when deploying Fireflies.ai integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "fireflies production", "deploy fireflies", "fireflies go-live", "fireflies launch checklist".

Teams using fireflies-prod-checklist 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

$curl -o ~/.claude/skills/fireflies-prod-checklist/SKILL.md --create-dirs "https://raw.githubusercontent.com/jeremylongshore/claude-code-plugins-plus-skills/main/plugins/saas-packs/fireflies-pack/skills/fireflies-prod-checklist/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/fireflies-prod-checklist/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How fireflies-prod-checklist Compares

Feature / Agentfireflies-prod-checklistStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Execute Fireflies.ai production deployment checklist with health checks and rollback. Use when deploying Fireflies.ai integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "fireflies production", "deploy fireflies", "fireflies go-live", "fireflies launch checklist".

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.

Related Guides

SKILL.md Source

# Fireflies.ai Production Checklist

## Overview
Complete checklist for deploying Fireflies.ai integrations to production. Covers API key management, webhook setup, health checks, and monitoring.

## Prerequisites
- Staging environment tested
- Production API key from Fireflies dashboard
- Webhook endpoint with HTTPS and signature verification
- Monitoring infrastructure ready

## Pre-Deployment Checklist

### API & Auth
- [ ] Production `FIREFLIES_API_KEY` in secret manager (not env file)
- [ ] API key has minimum required access
- [ ] `FIREFLIES_WEBHOOK_SECRET` configured (16-32 chars)
- [ ] Separate keys for dev/staging/prod environments
- [ ] Key rotation procedure documented

### Code Quality
- [ ] All GraphQL queries tested against real API in staging
- [ ] Error handling for all Fireflies error codes (`auth_failed`, `too_many_requests`, `require_ai_credits`)
- [ ] Rate limiting with exponential backoff implemented
- [ ] No hardcoded API keys or transcript IDs
- [ ] Webhook signature verification (HMAC-SHA256) enabled

### Webhook Configuration
- [ ] Webhook URL registered in Fireflies dashboard (Settings > Developer settings)
- [ ] HTTPS endpoint with valid TLS certificate
- [ ] `x-hub-signature` header verified on every request
- [ ] Webhook handler responds with 200 immediately (process async)
- [ ] Dead-letter queue for failed webhook processing

### Health Check Endpoint
```typescript
// /api/health
export async function GET() {
  const checks: Record<string, any> = {};

  // Fireflies API connectivity
  try {
    const start = Date.now();
    const res = await fetch("https://api.fireflies.ai/graphql", {
      method: "POST",
      headers: {
        "Content-Type": "application/json",
        Authorization: `Bearer ${process.env.FIREFLIES_API_KEY}`,
      },
      body: JSON.stringify({ query: "{ user { email } }" }),
      signal: AbortSignal.timeout(5000),
    });
    const json = await res.json();
    checks.fireflies = {
      status: json.errors ? "error" : "healthy",
      latencyMs: Date.now() - start,
      error: json.errors?.[0]?.code,
    };
  } catch (err) {
    checks.fireflies = { status: "unreachable", error: (err as Error).message };
  }

  const allHealthy = Object.values(checks).every((c: any) => c.status === "healthy");
  return Response.json(
    { status: allHealthy ? "healthy" : "degraded", checks },
    { status: allHealthy ? 200 : 503 }
  );
}
```

### Monitoring & Alerting
- [ ] Alert on Fireflies API errors (5xx, 401, 429)
- [ ] Track webhook delivery latency
- [ ] Monitor transcript processing queue depth
- [ ] Dashboard showing: meetings/day, avg processing time, error rate
- [ ] PagerDuty/Slack alert for auth failures (P1)

### Alerting Thresholds
| Alert | Condition | Severity |
|-------|-----------|----------|
| Auth failure | Any `auth_failed` error | P1 -- API key may be revoked |
| Rate limited | 429 errors > 5/min | P2 -- backoff or upgrade plan |
| API unreachable | Health check fails 3x | P1 -- check Fireflies status |
| Webhook backlog | Queue > 100 events | P3 -- scale webhook processor |

## Deployment Steps

### Step 1: Pre-flight
```bash
set -euo pipefail
# Verify staging passes
curl -f https://staging.example.com/api/health | jq '.checks.fireflies'

# Verify production API key works
curl -s -X POST https://api.fireflies.ai/graphql \
  -H "Authorization: Bearer $FIREFLIES_API_KEY_PROD" \
  -H "Content-Type: application/json" \
  -d '{"query": "{ user { email is_admin } }"}' | jq .
```

### Step 2: Deploy
```bash
set -euo pipefail
# Deploy with your platform
# Vercel: vercel --prod
# Docker: docker push && kubectl apply
# Fly.io: fly deploy --app production

# Verify health immediately
curl -f https://production.example.com/api/health | jq .
```

### Step 3: Post-Deploy Verification
```bash
set -euo pipefail
# Verify webhook is registered
curl -s -X POST https://api.fireflies.ai/graphql \
  -H "Authorization: Bearer $FIREFLIES_API_KEY_PROD" \
  -H "Content-Type: application/json" \
  -d '{"query": "{ user { email } }"}' | jq .

# Test webhook delivery (upload a short audio file)
curl -s -X POST https://api.fireflies.ai/graphql \
  -H "Authorization: Bearer $FIREFLIES_API_KEY_PROD" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "mutation($input: AudioUploadInput) { uploadAudio(input: $input) { success message } }",
    "variables": { "input": { "url": "https://example.com/test.mp3", "title": "Deploy Test" } }
  }' | jq .
```

## Rollback
```bash
set -euo pipefail
# Immediate rollback
# Platform-specific: revert deployment to previous version

# Verify rollback
curl -f https://production.example.com/api/health | jq '.checks.fireflies'
```

## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| Auth fails post-deploy | Wrong API key in production secrets | Update secret, redeploy |
| Webhook not firing | URL not saved in Fireflies dashboard | Re-register at app.fireflies.ai/settings |
| Rate limiting in prod | Burst traffic on deploy | Enable request queuing |
| Missing transcripts | Bot not joining meetings | Verify calendar integration is connected |

## Output
- Production deployment with verified health checks
- Webhook endpoint receiving and verifying events
- Monitoring and alerting configured
- Rollback procedure tested

## Resources
- [Fireflies API Docs](https://docs.fireflies.ai/)
- [Fireflies Webhooks](https://docs.fireflies.ai/graphql-api/webhooks)

## Next Steps
For version upgrades, see `fireflies-upgrade-migration`.

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