Why is ArgoCD self-heal control included?

It provides commands to temporarily disable self-healing, allowing developers to perform manual troubleshooting or testing without the GitOps controller immediately overwriting changes.

How does it handle pod debugging?

It utilizes the kubectl debug command with ephemeral containers, allowing you to attach a troubleshooting shell to a running pod without restarting it or needing a shell in the original image.

Which observability tools are supported?

The skill supports the full LGTM stack (Loki, Grafana, Tempo, Mimir) plus Pyroscope for profiling and OpenTelemetry for request tracing.

Can I use this for production clusters?

While the skill is optimized for minikube environments, the manifest patterns, observability workflows, and kubectl commands are applicable to most standard Kubernetes distributions.

Kubernetes Operations & Observability

Name: Kubernetes Operations & Observability
Author: hippocampus-dev

byhippocampus-dev

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Deployment & DevOps

Manages Kubernetes clusters with a focus on observability, debugging via ephemeral containers, and ArgoCD orchestration.

This skill empowers Claude to perform advanced Kubernetes cluster operations specifically tailored for minikube and development environments. It provides deep integration with the LGTM stack (Loki, Grafana, Tempo, Mimir) for full-stack observability, enables sophisticated debugging using ephemeral containers to inspect running workloads without downtime, and automates GitOps workflows through ArgoCD. It is ideal for developers who need to investigate performance bottlenecks using continuous profiling, troubleshoot pod failures, or manage complex infrastructure manifests using industry-standard best practices.

Key Features

01Safe in-container debugging using specialized ephemeral container profiles

02ArgoCD lifecycle management including synchronization and self-healing control

032 GitHub stars

04Comprehensive observability integration with Grafana, Prometheus, Loki, and Tempo

05Advanced troubleshooting workflows using TraceQL, LogQL, and PromQL

06Continuous profiling support with Pyroscope for CPU and memory hotspot analysis

Use Cases

01Investigating application latency by tracing request flows through Tempo and correlating with Loki logs

02Automating cluster manifest updates and managing GitOps sync policies via ArgoCD

03Debugging failing or restricted pods using ephemeral containers for live inspection

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hippocampus-dev/hippocampus kubernetes-operations

For use in Claude.ai and ChatGPT

Download Skill