kubetail-org

kubetail-org / kstack

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Skill pack for Claude Code that helps you monitor and troubleshoot your K8s clusters superintelligently

kstack.sh agents ai claude claude-code codex
36
3
100% credibility
Found May 08, 2026 at 35 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

kstack adds smart commands to AI coding assistants for monitoring, troubleshooting, and auditing Kubernetes clusters using familiar tools.

How It Works

1
🔍 Discover kstack

You hear about kstack, a handy add-on that makes your AI helper super smart at watching over your server group.

2
📥 Install easily

Run a simple one-line command to add these smart skills to your AI helper, either everywhere on your computer or just in one project folder.

3
💬 Chat with your AI

Open your AI helper chat and type a slash command like /cluster-status to check your server group's health.

4
📊 Get instant insights

Your AI instantly shows a clear snapshot of server health, like which machines are struggling or pods restarting, ranked by importance.

5
Dig deeper
🔧
Troubleshoot

Ask to investigate a failing part, fetch logs, or peek inside with a live shell.

🛡️
Audit

Run checks for security, network issues, costs, or outdated parts.

🧹
Clean up

Clear temporary helpers or reset what it remembers.

6
✅ Stay in control

Everything respects your permissions, asks before changes, and keeps responses quick and cheap.

🚀 Servers smarter

Your server group is now monitored intelligently by your AI, saving time on fixes and keeping things running smoothly.

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AI-Generated Review

What is kstack?

kstack is a shell-based skill pack for AI agents like Claude Code, Cursor, and others, turning natural language chats into smart Kubernetes monitoring and troubleshooting. It installs slash commands such as /cluster-status for health snapshots, /logs for AI-guided tailing via Kubetail, and /audit-outdated for CVE scans with Trivy and Pluto, all using your kubeconfig for access. Developers get fast, token-efficient insights without leaving their agent session, solving the pain of juggling kubectl, Helm, and manual digs.

Why is it gaining traction?

Unlike raw kubectl or basic AI prompts, kstack blends specialized K8s tooling with agent smarts—caching snapshots for speed, shared tmux for live logs/exec, and audits for security/cost drift—while supporting skill github claude code, skill github cursor, and skill github anthropic setups. Its auto-upgrade checks and multi-agent compatibility (Claude, Copilot-style, even skill github cli) hook devs already in AI flows, delivering precise outputs like ranked events or RBAC gaps. In the skill pack claude world, it stands out for keeping responses lean and actionable.

Who should use this?

K8s SREs debugging prod incidents via chat, platform engineers auditing clusters for outdated images or network policies, and ops teams on kstack linux wanting /investigate for root causes. Ideal for those tired of context-switching from Claude Code to terminals, especially in skill github agent workflows or kstack brasil-style teams managing multi-cluster setups.

Verdict

Try kstack if you're in the early skill github claude ecosystem—solid docs, e2e tests, and a clean curl install make it low-risk despite 30 stars and 1.0% credibility score. Still maturing (watch for kstack v2), but a smart add for AI-assisted K8s ops today.

(198 words)

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