deployment-procedures

Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.

242 stars

Best use case

deployment-procedures is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.

Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "deployment-procedures" skill to help with this workflow task. Context: Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/deployment-procedures/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/sickn33/deployment-procedures/SKILL.md"

Manual Installation

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

How deployment-procedures Compares

Feature / Agentdeployment-proceduresStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.

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.

SKILL.md Source

# Deployment Procedures

> Deployment principles and decision-making for safe production releases.
> **Learn to THINK, not memorize scripts.**

---

## ⚠️ How to Use This Skill

This skill teaches **deployment principles**, not bash scripts to copy.

- Every deployment is unique
- Understand the WHY behind each step
- Adapt procedures to your platform

---

## 1. Platform Selection

### Decision Tree

```
What are you deploying?
│
├── Static site / JAMstack
│   └── Vercel, Netlify, Cloudflare Pages
│
├── Simple web app
│   ├── Managed → Railway, Render, Fly.io
│   └── Control → VPS + PM2/Docker
│
├── Microservices
│   └── Container orchestration
│
└── Serverless
    └── Edge functions, Lambda
```

### Each Platform Has Different Procedures

| Platform | Deployment Method |
|----------|------------------|
| **Vercel/Netlify** | Git push, auto-deploy |
| **Railway/Render** | Git push or CLI |
| **VPS + PM2** | SSH + manual steps |
| **Docker** | Image push + orchestration |
| **Kubernetes** | kubectl apply |

---

## 2. Pre-Deployment Principles

### The 4 Verification Categories

| Category | What to Check |
|----------|--------------|
| **Code Quality** | Tests passing, linting clean, reviewed |
| **Build** | Production build works, no warnings |
| **Environment** | Env vars set, secrets current |
| **Safety** | Backup done, rollback plan ready |

### Pre-Deployment Checklist

- [ ] All tests passing
- [ ] Code reviewed and approved
- [ ] Production build successful
- [ ] Environment variables verified
- [ ] Database migrations ready (if any)
- [ ] Rollback plan documented
- [ ] Team notified
- [ ] Monitoring ready

---

## 3. Deployment Workflow Principles

### The 5-Phase Process

```
1. PREPARE
   └── Verify code, build, env vars

2. BACKUP
   └── Save current state before changing

3. DEPLOY
   └── Execute with monitoring open

4. VERIFY
   └── Health check, logs, key flows

5. CONFIRM or ROLLBACK
   └── All good? Confirm. Issues? Rollback.
```

### Phase Principles

| Phase | Principle |
|-------|-----------|
| **Prepare** | Never deploy untested code |
| **Backup** | Can't rollback without backup |
| **Deploy** | Watch it happen, don't walk away |
| **Verify** | Trust but verify |
| **Confirm** | Have rollback trigger ready |

---

## 4. Post-Deployment Verification

### What to Verify

| Check | Why |
|-------|-----|
| **Health endpoint** | Service is running |
| **Error logs** | No new errors |
| **Key user flows** | Critical features work |
| **Performance** | Response times acceptable |

### Verification Window

- **First 5 minutes**: Active monitoring
- **15 minutes**: Confirm stable
- **1 hour**: Final verification
- **Next day**: Review metrics

---

## 5. Rollback Principles

### When to Rollback

| Symptom | Action |
|---------|--------|
| Service down | Rollback immediately |
| Critical errors | Rollback |
| Performance >50% degraded | Consider rollback |
| Minor issues | Fix forward if quick |

### Rollback Strategy by Platform

| Platform | Rollback Method |
|----------|----------------|
| **Vercel/Netlify** | Redeploy previous commit |
| **Railway/Render** | Rollback in dashboard |
| **VPS + PM2** | Restore backup, restart |
| **Docker** | Previous image tag |
| **K8s** | kubectl rollout undo |

### Rollback Principles

1. **Speed over perfection**: Rollback first, debug later
2. **Don't compound errors**: One rollback, not multiple changes
3. **Communicate**: Tell team what happened
4. **Post-mortem**: Understand why after stable

---

## 6. Zero-Downtime Deployment

### Strategies

| Strategy | How It Works |
|----------|--------------|
| **Rolling** | Replace instances one by one |
| **Blue-Green** | Switch traffic between environments |
| **Canary** | Gradual traffic shift |

### Selection Principles

| Scenario | Strategy |
|----------|----------|
| Standard release | Rolling |
| High-risk change | Blue-green (easy rollback) |
| Need validation | Canary (test with real traffic) |

---

## 7. Emergency Procedures

### Service Down Priority

1. **Assess**: What's the symptom?
2. **Quick fix**: Restart if unclear
3. **Rollback**: If restart doesn't help
4. **Investigate**: After stable

### Investigation Order

| Check | Common Issues |
|-------|--------------|
| **Logs** | Errors, exceptions |
| **Resources** | Disk full, memory |
| **Network** | DNS, firewall |
| **Dependencies** | Database, APIs |

---

## 8. Anti-Patterns

| ❌ Don't | ✅ Do |
|----------|-------|
| Deploy on Friday | Deploy early in week |
| Rush deployment | Follow the process |
| Skip staging | Always test first |
| Deploy without backup | Backup before deploy |
| Walk away after deploy | Monitor for 15+ min |
| Multiple changes at once | One change at a time |

---

## 9. Decision Checklist

Before deploying:

- [ ] **Platform-appropriate procedure?**
- [ ] **Backup strategy ready?**
- [ ] **Rollback plan documented?**
- [ ] **Monitoring configured?**
- [ ] **Team notified?**
- [ ] **Time to monitor after?**

---

## 10. Best Practices

1. **Small, frequent deploys** over big releases
2. **Feature flags** for risky changes
3. **Automate** repetitive steps
4. **Document** every deployment
5. **Review** what went wrong after issues
6. **Test rollback** before you need it

---

> **Remember:** Every deployment is a risk. Minimize risk through preparation, not speed.

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