verify-deploy

Deployment Verification

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "verify-deploy" with this command: npx skills add bobby-andris/allied-feedops/bobby-andris-allied-feedops-verify-deploy

Deployment Verification

Closes the loop on deployments by verifying they completed successfully.

When to Use

Trigger /verify-deploy after:

  • Pushing changes to master

  • Waiting ~2-3 minutes for auto-deploy

  • Want to confirm deployment succeeded

Don't use if:

  • Haven't pushed yet (use build verification instead)

  • Just pushed seconds ago (deployments take 2-3 minutes)

  • Making local changes only

What This Checks

For Dashboard Changes (Vercel)

Build Status

  • Check latest Vercel deployment

  • Verify build completed without errors

  • Get deployment URL

Deployment Health

  • Hit health endpoint (if exists)

  • Verify returns 200 OK

  • Check response time

Key Pages Accessible

  • Test critical routes load

  • No 500 errors

  • No obvious visual breaks

For Pipeline Changes (Cloud Run)

Build Status

  • Check latest Cloud Build

  • Verify Docker build succeeded

  • Confirm deployment to Cloud Run

Service Health

  • Hit /health endpoint

  • Verify Supabase connection

  • Check response structure

Recent Logs

  • Check for startup errors

  • Verify no crashes

  • Confirm service is stable

Execution Flow

Step 1: Identify What Was Deployed

Check git diff:

git log -1 --name-only

Determine:

  • Dashboard changes? (files in dashboard/ )

  • Pipeline changes? (files in src/feedops/ )

  • Both?

Step 2: Vercel Verification (If Dashboard Changes)

Option A: Using Vercel MCP (if available)

// Use mcp__vercel__ tools to check deployment status // Get latest deployment // Check build status // Get deployment URL

Option B: Using Vercel CLI

Check latest deployment

vercel list --project-id=prj_00zlLdZVgbP8XjDWIEXSRdFyqDqA --limit=1

Get deployment status

vercel inspect [deployment-url]

Option C: Check Vercel dashboard logs

View logs via Vercel API or dashboard link

echo "View logs: https://vercel.com/[team]/[project]/deployments"

What to verify:

  • ✅ Status: READY (not ERROR or BUILDING)

  • ✅ Build time: Reasonable (~1-2 minutes for this project)

  • ✅ Commit hash: Matches latest push

  • ⚠️ Warnings: Check for deprecation notices

Test health:

Hit production URL

curl -I https://allied-feed-ops.vercel.app/api/health

Expected: 200 OK

Step 3: Cloud Run Verification (If Pipeline Changes)

Check Cloud Build:

gcloud builds list
--project=bobbys-project-346400
--limit=1
--format="table(id,status,createTime,duration)"

What to verify:

  • ✅ Status: SUCCESS

  • ✅ Create time: Recent (within last 5 minutes)

  • ✅ Duration: Reasonable (~3-5 minutes for this project)

Check Cloud Run deployment:

gcloud run services describe feedops-pipeline
--project=bobbys-project-346400
--region=us-east1
--format="value(status.latestReadyRevisionName,status.conditions)"

What to verify:

  • ✅ Latest revision matches recent deployment

  • ✅ Conditions: All READY

  • ⚠️ Check for any warnings

Test health endpoint:

curl -s https://feedops-pipeline-623866089882.us-east1.run.app/health | jq .

Expected response:

{

"status": "healthy",

"supabase_connected": true,

"timestamp": "[recent-time]"

}

Check recent logs:

gcloud run services logs read feedops-pipeline
--project=bobbys-project-346400
--limit=20
--format="table(timestamp,severity,textPayload)"

Look for:

- ✅ "Application startup complete"

- ✅ No ERROR severity logs

- ⚠️ Any unexpected warnings

Step 4: Report Results

Format:

Deployment Verification Results

Commit: [hash] - [message first line] Pushed: [timestamp] Verified: [current timestamp]

Dashboard (Vercel)

  • Status: [✅ DEPLOYED / ⚠️ BUILDING / ❌ FAILED]
  • Build: [SUCCESS / ERRORS]
  • URL: [deployment URL]
  • Health: [✅ 200 OK / ❌ Error] [Details if issues]

Pipeline (Cloud Run)

  • Status: [✅ DEPLOYED / ⚠️ BUILDING / ❌ FAILED]
  • Build: [SUCCESS / ERRORS]
  • Service: [READY / NOT READY]
  • Health: [✅ Healthy / ❌ Unhealthy] [Details if issues]

Overall: [✅ ALL SYSTEMS GO / ⚠️ WARNINGS / ❌ FAILURES]

If all successful:

✅ Deployment Verified Successfully

All systems operational:

Changes from commit [hash] are live.

If issues found:

❌ Deployment Issues Detected

Dashboard: [issue description]

  • [Details]
  • [Logs/errors]

Pipeline: [issue description if applicable]

  • [Details]
  • [Logs/errors]

Recommended action: [rollback / investigate / wait]

Edge Cases

Still Building

⏳ Deployment In Progress

Dashboard: BUILDING (started [time] ago) Pipeline: BUILDING (started [time] ago)

Typical deploy time: 2-3 minutes

Recommendation: Wait 2 more minutes, then run /verify-deploy again

Partial Success

⚠️ Partial Deployment

Dashboard: ✅ Deployed successfully Pipeline: ❌ Build failed with errors: [error details]

Since dashboard changes succeeded, those are live. Pipeline issues need investigation.

Rollback Needed

If critical issues detected:

🔴 Critical Issues - Rollback Recommended

Issue: [description of what's broken] Impact: [production / high / medium]

Rollback options:

  1. Instant (Vercel): Revert to previous deployment in Vercel dashboard
  2. Git revert: git revert [commit-hash] && git push
  3. Wait for fix: If low impact, fix forward

Recommend: [Option number] because [reason]

Should I execute rollback, or investigate further?

Integration with /wrapup

Enhanced wrapup flow:

  1. /wrapup executes (CLAUDE.md, build, commit, push)
  2. Push completes
  3. Auto-suggest: "Wait 2-3 minutes for deploy, then run /verify-deploy"
  4. User runs /verify-deploy after waiting
  5. Confirmation deployment succeeded

Automation Opportunity

Future enhancement: Hook that runs automatically 3 minutes after push:

{ "postToolUse": [ { "tool": "Bash", "pattern": ".git push.", "command": "bash -c 'echo "⏰ Deploy verification: Run /verify-deploy in 2-3 minutes"'" } ] }

Time Estimate

Typical /verify-deploy execution: 30-60 seconds

  • Cloud Build check: 5s

  • Cloud Run check: 5s

  • Health endpoints: 5s

  • Vercel check: 5-10s

  • Log review: 10-20s

  • Report generation: 5s

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Automation

shopify-conversion-content

No summary provided by upstream source.

Repository SourceNeeds Review
Automation

google-shopping-content

No summary provided by upstream source.

Repository SourceNeeds Review
Automation

preflight

No summary provided by upstream source.

Repository SourceNeeds Review