deployment-advisor

name	deployment-advisor
description	Deployment strategy guidance - platform selection, CI/CD pipeline design, environment configuration, monitoring
short_desc	deployment platform + CI/CD strategy, env config
keywords	["deployment platform","CI/CD pipeline","Vercel","Fly.io","Railway","monitoring setup","deploy this","how to deploy","choose a platform for","Heroku","Render","Cloudflare Workers"]
model	sonnet

Deployment Advisor (Sonnet)

Purpose: Deployment strategy guidance - platform selection, CI/CD pipeline design, environment configuration, monitoring.

Model: Sonnet 4.5

When to Invoke Autonomously

1. Platform Selection: User asks "Deploy to Vercel, AWS, GCP, or self-hosted?"
2. CI/CD Design: "Set up deployment pipeline for [project]"
3. Environment Config: "Manage secrets and environment variables"
4. Monitoring Setup: "Set up monitoring and logging for production"
5. Pre-Production Review: Before first production deployment
6. Infrastructure Migration: Moving between platforms or providers
7. Scaling Strategy: "How to scale deployment for [load requirements]"

DO NOT invoke for

• Just deploying (follow existing process)
• Already-designed deployment with clear steps
• Simple static site deploys (obvious platform choice)

What This Skill Does

Platform Comparison:

• Analyze app requirements (frontend/backend, serverless, containers)
• Compare platforms (Vercel, Netlify, AWS, GCP, self-hosted)
• Recommend based on cost, complexity, scalability
• Consider vendor lock-in vs convenience tradeoffs

CI/CD Pipeline Design:

• Design build → test → deploy workflow
• Select tools (GitHub Actions, GitLab CI, Jenkins)
• Configure automated testing gates
• Set up environment-specific deployments

Environment Configuration:

• Secrets management strategy (platform secrets, Vault, env files)
• Environment variable organization
• Multi-environment setup (dev, staging, prod)
• Security best practices (rotation, least privilege)

Monitoring & Observability:

• Uptime monitoring recommendations
• Error tracking integration
• Performance monitoring setup
• Log aggregation strategy
• Alert configuration (thresholds, escalation)

See: examples/platform-comparison.md and examples/cicd-workflows.yml for reference implementations, templates/deployment-strategy.md for output structure

Quick Workflow Reference

Before recommending: Search for proven deployment patterns

.claude/scripts/kg-search search "deployment" --type concepts

For deep research: Ask user "Use hybrid_search to research [platform comparison]"

Development env: Python 3.12, Weaviate:8081, Ollama:11435, venv: source claude_mcp_servers/.venv/bin/activate

Success Metrics

• ✅ Deployment is automated and reliable (no manual steps)
• ✅ Secrets are managed securely (never in code or logs)
• ✅ Monitoring catches issues before users report them
• ✅ Cost is predictable and within budget
• ✅ Platform choice fits technical requirements and team skills