deploy

name	deploy
description	Test and deploy changes safely. Runs tests as a pre-deploy gate, deploys, then runs post-deploy verification. This is a TEMPLATE — customize the commands and checks for your specific deployment pipeline.
user_invocable	true

Deploy — Safe Deployment Pipeline

Deploy changes to production with automated testing and verification.

Input

Arguments after /deploy:

• Target name(s) (optional) — specific services/functions to deploy. If omitted, auto-detect from git changes.
• --all — deploy everything
• --skip-tests — skip pre-deploy tests (use only if tests were just run)

Valid targets: [YOUR_SERVICE_1], [YOUR_SERVICE_2], [YOUR_SERVICE_3]

Process

Step 1: Detect What Changed

If no target specified, check git for changes:

git diff --name-only HEAD
git diff --name-only --cached

Map changed files to affected targets and determine what needs deploying.

Step 2: Run Tests (Pre-Deploy Gate)

[YOUR_TEST_COMMAND]

• If tests fail: STOP. Do not deploy. Fix the issue first.
• Report: number of tests passed/failed, which suite failed

Step 3: Deploy

[YOUR_DEPLOY_COMMAND] [target-name]

Deploy targets one at a time. If a deploy fails, stop and report — do not continue deploying remaining targets.

Step 4: Post-Deploy Verification

[YOUR_VERIFICATION_COMMAND]

If verification fails:

1. Check if it's transient (API timeout, rate limit) — re-run once
2. If still failing, rollback immediately:

# Example rollback: restore previous version and redeploy
git checkout [previous-commit] -- [path/to/service/]
[YOUR_DEPLOY_COMMAND] [target-name]
git checkout HEAD -- [path/to/service/]

3. Report the failure and rollback to the user

Step 5: Health Check

[YOUR_HEALTH_CHECK_COMMAND]

Step 6: Report

Deploy Complete
───────────────
Targets deployed: [list]
Tests: X/Y passed
Verification: passed
Health: ok

Skip Conditions

Do NOT use this skill for:

• Documentation-only changes
• Frontend-only changes (if deploying backend)
• Test file changes
• Configuration that doesn't require deployment

Important Notes

1. Tests are the safety gate — they catch logic bugs before deploy
2. Verification is the smoke test — confirms the deployed code works
3. Rollback is fast — redeploy from a previous git commit
4. Verification failures may be transient — retry once before investigating

---

Example: filled-in version

Here's what the skeleton above looks like with the placeholders replaced. Stack: a Node.js API on Fly.io with a Postgres backend, health-checked via curl. Adapt to your own stack — this is reference, not prescription.

Step 1: Detect What Changed

git diff --name-only HEAD
git diff --name-only --cached

Mapping: anything under src/api/ → deploy api. migrations/ touched → run migration after deploy.

Step 2: Run Tests (Pre-Deploy Gate)

npm test

Fail → STOP, fix first.

Step 3: Deploy

flyctl deploy --app my-api

Fail → STOP. Don't continue to other targets if this is part of a multi-target deploy.

Step 4: Post-Deploy Verification

curl -fsSL https://my-api.fly.dev/health

• 2xx → pass.
• Fail → re-run once (transient API timeouts happen). Still failing → rollback:

  flyctl releases list --app my-api
  flyctl deploy --image registry.fly.io/my-api:<previous-tag>
  

Step 5: Health Check

curl -fsSL https://my-api.fly.dev/health | jq '.db_connected'

Confirms DB and downstream dependencies are reachable, not just the HTTP listener.

Step 6: Report

Deploy Complete
───────────────
Targets deployed: api
Tests: 47/47 passed
Verification: passed
Health: ok (db_connected: true)

Other stacks fit the same shape: Supabase Edge Functions (shadow-slug deploy + smoke probe + swap), Vercel (preview → promote with vercel --prod), Cloudflare Workers (wrangler deploy + health probe), AWS Lambda (sam deploy + CloudWatch check). Pick the one closest to your stack and substitute. The 6-step structure stays.