Deployment Procedures

What it does

This skill guides AI agents through safe and informed application deployments across various environments. It doesn't provide scripts or automated commands; instead, it focuses on teaching deployment principles and decision-making processes for production releases. The goal is to enable understanding of why each step in a deployment is necessary, rather than simply memorizing instructions. This skill helps agents adapt procedures based on the specific platform being used.

When to use it

This skill is helpful when:

• You need to deploy an application and want to ensure a safe and well-planned release process.
• You're deploying to different platforms (Vercel, Netlify, Railway, Render, VPS, Kubernetes) and require guidance on appropriate deployment methods.
• You are looking for best practices regarding code quality checks, environment verification, backups, and rollback strategies before a deployment.
• You want to understand the steps involved in verifying a successful deployment and identifying when a rollback is necessary.

Key capabilities

• Platform Selection Guidance: Provides decision trees to choose appropriate deployment methods based on application type (static site, web app, microservices, serverless).
• Pre-Deployment Verification Categories: Outlines checks for code quality, build success, environment variables, and safety measures.
• 5-Phase Deployment Workflow: Defines a structured process including Prepare, Backup, Deploy, Verify, and Confirm/Rollback phases.
• Post-Deployment Verification Checks: Lists key areas to monitor after deployment (health endpoint, error logs, user flows, performance).
• Rollback Strategies: Offers platform-specific guidance on how to rollback deployments when issues arise.

Example prompts

• "What's the best way to deploy a simple web app using Railway?"
• "What should I check before deploying my application to Kubernetes?"
• "Explain the steps in the 'Prepare' phase of a deployment workflow."

Tips & gotchas

• This skill does not provide automated scripts. It focuses on principles and decision-making.
• Understand that every deployment is unique, and you need to adapt procedures based on your specific platform and application.
• Always prioritize backups before deploying any changes.