deployment-procedures
Helps your agent think about the best ways to release software to users. It teaches how to make safe decisions and how to undo changes if something goes wrong.
What it does
This guide teaches the principles for safely putting a new computer program into operation (production). It focuses on how to think about the process, not specific commands.
When to use it
- ✓When releasing a new version of your website or application.
- ✓When you need to ensure that reverting to a previous version is quick and safe.
- ✓To understand the steps needed before and after an update.
Example of what to ask your AI
“How can I ensure my website update doesn't cause problems for users?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The AI explains the general steps and decision points for safe releases, such as checking code, making backups, and having a plan to revert changes if something goes wrong.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill deployment-proceduresOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/deployment-procedures/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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
- Speed over perfection: Rollback first, debug later
- Don't compound errors: One rollback, not multiple changes
- Communicate: Tell team what happened
- 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
- Assess: What's the symptom?
- Quick fix: Restart if unclear
- Rollback: If restart doesn't help
- 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 |
|---|
…
FAQ
What is 'rollback'?
Rollback is the process of returning to a previous version of a program if the new version causes issues.
Why shouldn't I deploy on Fridays?
Deploying late in the week can be risky because if something goes wrong, it might be difficult to get quick help over the weekend.
What are 'feature flags'?
Feature flags are like switches that allow you to turn new features in a program on or off without needing to do a full new deployment.
Details
Original description by the author
Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2760
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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