deploy-app

Automate end-to-end application deployment to a Kubernetes homelab via GitOps.

24|3|Updated Mar 31, 2022
One-click install
npx skills add https://github.com/ionfury/homelab --skill deploy-app-ionfury
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deploy-app
Source: https://github.com/ionfury/homelab/tree/main/.claude/skills/deploy-app
Command: npx skills add https://github.com/ionfury/homelab --skill deploy-app-ionfury

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires kubectl, jq, curl, and includes scripts (resource) components.

What problem does it solve?

Orchestrates end-to-end deployment of applications to a Kubernetes homelab, unifying research, setup, and release workflows.

Core Features & Use Cases

  • End-to-end deployment workflow for Kubernetes-based apps (Helm releases and app templates)
  • Integrated monitoring and health checks (ServiceMonitor, Canary, Prometheus rules)
  • GitOps promotion and PR automation for production changes

Quick Start

Trigger the end-to-end deployment workflow for a new application on the Kubernetes homelab using Helm and Flux to provision resources, monitor health, and promote changes.

Frequently Asked Questions about deploy-app

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate end-to-end app deployment to Kubernetes using Helm and GitOps?

Automating end-to-end app deployment to Kubernetes involves orchestrating Helm releases, configuring monitoring, and validating changes through a dev-to-prod GitOps workflow. This requires structured steps including research, worktree management, Helm value generation, and PR-based production promotion.

What is the best way to configure ServiceMonitor and Prometheus rules for a new Helm release?

Configuring ServiceMonitor and Prometheus rules for a Helm release is handled by integrating monitoring setup directly into the deployment workflow. It provisions ServiceMonitor, Canary, and Prometheus rules automatically while generating Helm values to ensure application health checks are validated.

Do I need kubectl and jq installed to run a Kubernetes deployment workflow?

Yes, you need kubectl and jq installed to run this Kubernetes deployment workflow. The deployment orchestration requires kubectl for cluster interaction, jq for parsing JSON output, and curl for health validation to successfully automate the end-to-end release process.

Can I use this deployment workflow to promote changes to production via PR automation?

Yes, you can use this deployment workflow to promote changes to production via PR automation. It enforces a structured GitOps workflow that validates changes in a development environment before automatically creating pull requests for production promotion.

How does worktree management work within a GitOps deployment pipeline?

Worktree management within a GitOps deployment pipeline isolates development and deployment branches during the application release process. It enforces structured research and Helm value generation steps before merging changes, ensuring safe dev-to-prod promotion through pull requests.