deployment-diagnose

Diagnose egg control-plane deployment issues on Kubernetes and produce a ranked findings report.

13|3|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/jwbron/egg --skill deployment-diagnose
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deployment-diagnose
Source: https://github.com/jwbron/egg/tree/main/skills/deployment-diagnose
Command: npx skills add https://github.com/jwbron/egg --skill deployment-diagnose

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Diagnose egg control-plane deployment issues on Kubernetes and produce a ranked findings report by aggregating health, pod inventory, deployment context, manifest validation, and log evidence.

Core Features & Use Cases

  • Aggregates health checks, pod inventories, image drift detection, manifest validation, and recent events into a single, prioritized report.
  • Guides operators through remediation by surfacing the top issues (secrets, image pulls, crash loops) and providing actionable next steps.
  • Use case: quickly triage a failed redeploy or an unreachable control plane in a live cluster.

Quick Start

Run deployment-diagnose with an optional component filter to generate a prioritized control-plane findings report.

Frequently Asked Questions about deployment-diagnose

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

FAQPage Schema
How do I diagnose Kubernetes deployment issues when the control plane is unreachable?

Diagnosing Kubernetes deployment issues with an unreachable control plane requires querying health, pod inventory, and manifests to produce a ranked findings report. This Skill aggregates health checks, log evidence, and manifest validation to guide remediation actions.

What is the best way to troubleshoot image drift and missing secrets in a Kubernetes deployment?

Troubleshooting image drift and missing secrets requires validating deployment manifests and checking pod inventory. This Skill detects image drift, identifies missing secrets, and surfaces crash loops in a prioritized report for operators.

Does this Kubernetes diagnostics tool work with existing MCP primitives like check_health and list_containers?

Yes, this Kubernetes diagnostics tool works with MCP primitives like check_health, list_containers, get_container_logs, get_deployment_context, and validate_deployment_manifests. It gathers evidence within a 10-call budget to generate the report.

How do I generate a prioritized findings report for a failed Kubernetes redeploy?

To generate a prioritized findings report for a failed Kubernetes redeploy, query health status, pod inventory, deployment context, and recent events. This Skill aggregates these data points and ranks top issues like image pulls and crash loops for remediation.

Are log outputs redacted when diagnosing Kubernetes control plane issues?

Yes, log outputs are redacted when diagnosing Kubernetes control plane issues. The Skill uses MCP primitives like get_container_logs to gather evidence and presents results with redacted logs to ensure sensitive information is protected in the operator-facing report.

Can I filter Kubernetes deployment diagnostics by a specific component?

Yes, you can filter Kubernetes deployment diagnostics by a specific component. Running the diagnostics with an optional component filter generates a prioritized control-plane findings report focused on the targeted area of the deployment.