deploy-status

Monitor deployment status and health across GitHub Actions, Kubernetes, and Vercel.

1|Updated Sep 19, 2025
One-click install
npx skills add https://github.com/dlehdgml5328/bodam --skill deploy-status
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deploy-status
Source: https://github.com/dlehdgml5328/bodam/tree/main/.claude/skills/deploy-status
Command: npx skills add https://github.com/dlehdgml5328/bodam --skill deploy-status

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides a comprehensive, real-time overview of deployment status and system health across GitHub Actions, Kubernetes, and Vercel. It eliminates the need to manually check multiple dashboards and logs, giving you a single source of truth for your application's operational state.

Core Features & Use Cases

  • Unified Status Report: Gathers and presents the current status from GitHub Actions workflows, Kubernetes backend deployments, and Vercel frontend deployments.
  • Automated Health Checks: Performs critical API and frontend health checks to verify service availability and responsiveness.
  • Error & Warning Detection: Highlights potential issues such as failed deployments, unhealthy Kubernetes pods, high restart counts, or slow API responses.
  • Use Case: After a deployment, or anytime you need to verify system health, simply ask, "What's the deploy status?" to get an immediate, consolidated report on whether all services are up and running correctly and performing as expected.

Quick Start

Check the current deployment status for the production environment.

Frequently Asked Questions about deploy-status

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

FAQPage Schema
How do I monitor deployment status across GitHub Actions, Kubernetes, and Vercel?

Real-time deployment status monitoring aggregates workflow status from GitHub Actions, pod health from Kubernetes, and frontend deployment state from Vercel into a single consolidated report. Query health endpoints, check service availability, and detect failed deployments or unhealthy pods instantly.

Can I automate health checks for my preview and production environments?

Yes. Automated health checks verify API responsiveness and service availability across preview and production environments using CLI tools like gh, kubectl, and curl. The Skill collects health endpoint data and flags issues such as slow responses or failed services.

What's the best way to verify all services are running after a deployment?

Use unified status reporting to gather current deployment state from GitHub Actions workflows, Kubernetes backend pods, and Vercel frontend in one query. The Skill detects errors, warnings, restart counts, and readiness status to confirm all services are operational.

Does this work with GitHub Actions workflows and Kubernetes pods together?

Yes. The Skill integrates GitHub Actions workflow status, Kubernetes pod health metrics, and service availability checks in a single environment-aware report. It works across preview and production deployments using native CLI integration.

How do I get structured deployment data suitable for dashboards and alerts?

The Skill aggregates status data from all three platforms and outputs structured reports ready for dashboard ingestion and alert systems. Data collection includes workflow status, pod health, deployment readiness, and API response metrics.