Deployment Procedures V3

Deployment Procedures

Overview

This public intake copy packages plugins/antigravity-bundle-devops-cloud/skills/deployment-procedures from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

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

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: ⚠️ How to Use This Skill, 1. Platform Selection, 4. Post-Deployment Verification, 6. Zero-Downtime Deployment, 8. Anti-Patterns, 9. Decision Checklist.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• This skill is applicable to execute the workflow or actions described in the overview.
• Use when the request clearly matches the imported source intent: Production deployment principles and decision-making. Safe deployment workflows, rollback strategies, and verification. Teaches thinking, not scripts.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.
• Use when copied upstream references, examples, or scripts materially improve the answer.
• Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.

Operating Table

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. PREPARE
2. BACKUP
3. DEPLOY
4. VERIFY
5. CONFIRM or ROLLBACK
6. Phase - Principle
7. Prepare - Never deploy untested code

Imported Workflow Notes

Imported: 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

Imported: 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

Imported: ⚠️ 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

Examples

Example 1: Ask for the upstream workflow directly

Use @deployment-procedures-v3 to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @deployment-procedures-v3 against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @deployment-procedures-v3 for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @deployment-procedures-v3 using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• 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
• All tests passing
• Code reviewed and approved

Imported Operating Notes

Imported: 2. Pre-Deployment Principles

The 4 Verification Categories

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

Imported: 5. Rollback Principles

When to Rollback

Rollback Strategy by Platform

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

Imported: 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.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-bundle-devops-cloud/skills/deployment-procedures, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @airflow-dag-patterns-v3 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @aws-serverless-v3 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @bash-linux-v3 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @concise-planning-v3 - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Imported Reference Notes

Imported: 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

Imported: 4. Post-Deployment Verification

What to Verify

Verification Window

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

Imported: 6. Zero-Downtime Deployment

Strategies

Selection Principles

Imported: 8. Anti-Patterns

Imported: 9. Decision Checklist

Before deploying:

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

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.