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Deployment Procedures

CommunityPopular
vudovn
deployment-procedures

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

Overview

Publishervudovn
Repositoryag-kit
Skill namedeployment-procedures
Stars
8.2K
Forks
1.5K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by vudovn on GitHub. Read the source before you install it.

Installation

Install the Deployment Procedures AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/vudovn/ag-kit/tree/main/.agents/skills/deployment-procedures
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vudovn/ag-kit.git /tmp/ag-kit
mkdir -p .claude/skills
cp -r /tmp/ag-kit/.agents/skills/deployment-procedures .claude/skills/deployment-procedures
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deployment Procedures in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Deployment Procedures on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Deployment Procedures is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

PlatformDeployment Method
Vercel/NetlifyGit push, auto-deploy
Railway/RenderGit push or CLI
VPS + PM2SSH + manual steps
DockerImage push + orchestration
Kuberneteskubectl apply

2. Pre-Deployment Principles

The 4 Verification Categories

CategoryWhat to Check
Code QualityTests passing, linting clean, reviewed
BuildProduction build works, no warnings
EnvironmentEnv vars set, secrets current
SafetyBackup 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

PhasePrinciple
PrepareNever deploy untested code
BackupCan't rollback without backup
DeployWatch it happen, don't walk away
VerifyTrust but verify
ConfirmHave rollback trigger ready

4. Post-Deployment Verification

What to Verify

CheckWhy
Health endpointService is running
Error logsNo new errors
Key user flowsCritical features work
PerformanceResponse 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

SymptomAction
Service downRollback immediately
Critical errorsRollback
Performance >50% degradedConsider rollback
Minor issuesFix forward if quick

Rollback Strategy by Platform

PlatformRollback Method
Vercel/NetlifyRedeploy previous commit
Railway/RenderRollback in dashboard
VPS + PM2Restore backup, restart
DockerPrevious image tag
K8skubectl 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

StrategyHow It Works
RollingReplace instances one by one
Blue-GreenSwitch traffic between environments
CanaryGradual traffic shift

Selection Principles

ScenarioStrategy
Standard releaseRolling
High-risk changeBlue-green (easy rollback)
Need validationCanary (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

CheckCommon Issues
LogsErrors, exceptions
ResourcesDisk full, memory
NetworkDNS, firewall
DependenciesDatabase, APIs

8. Anti-Patterns

❌ Don't✅ Do
Deploy on FridayDeploy early in week
Rush deploymentFollow the process
Skip stagingAlways test first
Deploy without backupBackup before deploy
Walk away after deployMonitor for 15+ min
Multiple changes at onceOne 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.

Frequently asked questions

What does the Deployment Procedures AI skill do?

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

Why use Deployment Procedures on TypingMind?

Because you install it once and use it with any model. Deployment Procedures is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Deployment Procedures in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vudovn/ag-kit/tree/main/.agents/skills/deployment-procedures. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Deployment Procedures?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Deployment Procedures?

As many as you like. As long as a model supports skills, you can use Deployment Procedures with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Deployment Procedures AI skill free?

Yes. It is published on GitHub by vudovn under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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