supabase
Handles the full Supabase workflow from schema changes to deployment, with built-in security guardrails that catch common traps like RLS...
clerk-incident-runbook
Incident response procedures for Clerk authentication issues. Use when handling auth outages, security incidents, or production authentication problems. Trigger with phrases like "clerk incident", "clerk outage", "clerk down", "auth not working", "clerk emergency".
Full skill instructions
Procedures for responding to Clerk-related incidents in production.
Symptoms: All users unable to sign in, middleware returning errors
Immediate Actions:
# 1. Check Clerk status
curl -s https://status.clerk.com/api/v1/status | jq
# 2. Check your endpoint
curl -I https://yourapp.com/api/health/clerk
# 3. Check environment variables
vercel env ls | grep CLERK
Mitigation Steps:
// Emergency bypass mode (use with caution)
// middleware.ts
import { clerkMiddleware } from '@clerk/nextjs/server'
import { NextResponse } from 'next/server'
const EMERGENCY_BYPASS = process.env.CLERK_EMERGENCY_BYPASS === 'true'
export default clerkMiddleware(async (auth, request) => {
if (EMERGENCY_BYPASS) {
// Log for audit
console.warn('[EMERGENCY] Auth bypass active', {
path: request.nextUrl.pathname,
timestamp: new Date().toISOString()
})
return NextResponse.next()
}
// Normal auth flow
await auth.protect()
})
Symptoms: User data out of sync, missing user records
Diagnosis:
# Check webhook endpoint
curl -X POST https://yourapp.com/api/webhooks/clerk \
-H "Content-Type: application/json" \
-d '{"type":"ping"}' \
-w "\n%{http_code}"
# Check Clerk dashboard for failed webhooks
# Dashboard > Webhooks > Failed Deliveries
Recovery:
// scripts/resync-users.ts
import { clerkClient } from '@clerk/nextjs/server'
import { db } from '../lib/db'
async function resyncAllUsers() {
const client = await clerkClient()
let offset = 0
const limit = 100
while (true) {
const { data: users, totalCount } = await client.users.getUserList({
limit,
offset
})
for (const user of users) {
await db.user.upsert({
where: { clerkId: user.id },
update: {
email: user.emailAddresses[0]?.emailAddress,
firstName: user.firstName,
lastName: user.lastName,
updatedAt: new Date()
},
create: {
clerkId: user.id,
email: user.emailAddresses[0]?.emailAddress,
firstName: user.firstName,
lastName: user.lastName
}
})
}
console.log(`Synced ${offset + users.length} of ${totalCount} users`)
offset += limit
if (offset >= totalCount) break
}
console.log('Resync complete')
}
resyncAllUsers()
Symptoms: Unauthorized access detected, suspicious sessions
Immediate Actions:
// scripts/emergency-session-revoke.ts
import { clerkClient } from '@clerk/nextjs/server'
async function revokeUserSessions(userId: string) {
const client = await clerkClient()
// Get all active sessions
const sessions = await client.sessions.getSessionList({
userId,
status: 'active'
})
// Revoke all sessions
for (const session of sessions.data) {
await client.sessions.revokeSession(session.id)
console.log(`Revoked session: ${session.id}`)
}
console.log(`Revoked ${sessions.data.length} sessions for user ${userId}`)
}
// Revoke all sessions for compromised user
revokeUserSessions('user_xxx')
// scripts/emergency-lockout.ts
import { clerkClient } from '@clerk/nextjs/server'
async function lockoutUser(userId: string) {
const client = await clerkClient()
// Ban user (prevents new sign-ins)
await client.users.banUser(userId)
// Revoke all sessions
const sessions = await client.sessions.getSessionList({
userId,
status: 'active'
})
for (const session of sessions.data) {
await client.sessions.revokeSession(session.id)
}
console.log(`User ${userId} locked out and all sessions revoked`)
}
Symptoms: Slow sign-in, high latency, timeouts
Diagnosis:
// scripts/diagnose-performance.ts
async function diagnosePerformance() {
const results = {
authCheck: 0,
getUserList: 0,
currentUser: 0
}
// Measure auth check
const authStart = performance.now()
await auth()
results.authCheck = performance.now() - authStart
// Measure API call
const apiStart = performance.now()
const client = await clerkClient()
await client.users.getUserList({ limit: 1 })
results.getUserList = performance.now() - apiStart
// Measure currentUser
const userStart = performance.now()
await currentUser()
results.currentUser = performance.now() - userStart
console.log('Performance Diagnosis:', results)
// Check for issues
if (results.authCheck > 100) {
console.warn('Auth check slow - check middleware configuration')
}
if (results.getUserList > 500) {
console.warn('API slow - check Clerk status or network')
}
return results
}
1. [ ] Confirm outage (check status.clerk.com)
2. [ ] Check application logs for errors
3. [ ] Verify environment variables
4. [ ] If Clerk outage:
a. [ ] Enable emergency bypass (if safe)
b. [ ] Notify users via status page
c. [ ] Monitor Clerk status
5. [ ] If application issue:
a. [ ] Check recent deployments
b. [ ] Rollback if necessary
c. [ ] Check middleware configuration
6. [ ] Document timeline and actions
7. [ ] Conduct post-mortem
1. [ ] Identify affected accounts
2. [ ] Revoke all sessions for affected users
3. [ ] Lock compromised accounts
4. [ ] Reset API keys if exposed
5. [ ] Enable additional verification
6. [ ] Notify affected users
7. [ ] Review access logs
8. [ ] Document and report
1. [ ] Identify sync gap (check webhook logs)
2. [ ] Pause webhook processing
3. [ ] Export current database state
4. [ ] Run resync script
5. [ ] Verify data integrity
6. [ ] Resume webhook processing
7. [ ] Monitor for new issues
# .github/INCIDENT_CONTACTS.yml
contacts:
on_call:
- name: On-Call Engineer
phone: "+1-xxx-xxx-xxxx"
slack: "@oncall"
clerk_support:
- url: "https://clerk.com/support"
- email: "[email protected]"
- priority: "For enterprise: contact account manager"
escalation:
- level: 1
contact: "On-call engineer"
time: "0-15 min"
- level: 2
contact: "Engineering lead"
time: "15-30 min"
- level: 3
contact: "CTO"
time: "30+ min"
# Incident Report: [Title]
## Summary
- **Date:** YYYY-MM-DD
- **Duration:** X hours Y minutes
- **Severity:** P1/P2/P3
- **Impact:** [Number of affected users]
## Timeline
- HH:MM - Incident detected
- HH:MM - Initial response
- HH:MM - Mitigation applied
- HH:MM - Resolution confirmed
## Root Cause
[Description of root cause]
## Resolution
[Steps taken to resolve]
## Prevention
- [ ] Action item 1
- [ ] Action item 2
## Lessons Learned
[Key takeaways]
Proceed to clerk-data-handling for user data management.
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