Kubernetes Troubleshooting
ListedDiagnose Kubernetes cluster issues like pod failures, resource constraints, and network problems with detailed explanations.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add nik-kale/sre-skills --skill kubernetes-troubleshooting -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
nik-kale
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: 10.0.0.5.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
10.0.0.5undeclaredWhat it found
- skills/kubernetes-troubleshooting/references/error-decoder.md:165contacts 10.0.0.5
Warning Unhealthy Readiness probe failed: Get "http://10.0.0.5:8080/health":
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned nik-kale/sre-skills at aafbaf0123.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- aafbaf0123
- Scanned
- 3 files, 804 lines
About this skill
What it does
This skill allows AI agents to diagnose and resolve issues within Kubernetes clusters. It can analyze logs, check resource utilization, and provide remediation steps for common problems like pod failures or node instability. The agent can interpret error messages and suggest solutions based on best practices.
When to use it
- You're experiencing application downtime in a Kubernetes environment and need rapid troubleshooting.
- A monitoring system alerts you to unusual resource consumption (CPU, memory) within your cluster.
- Pods are repeatedly failing with unclear error messages that require deeper investigation.
- You suspect configuration errors are impacting the stability of your Kubernetes deployments.
Key capabilities
- Log analysis and interpretation
- Resource utilization monitoring
- Error message decoding
- Remediation suggestion
Example prompts
- "My application pods are crashing, can you investigate?"
- "Why is my node using so much CPU?"
- "What's causing this 'ImagePullBackOff' error in my pod?"
- “Analyze the Kubernetes logs for errors related to database connectivity.”
Tips & gotchas
The skill requires access to cluster logs and metrics. Ensure your AI agent has appropriate permissions (e.g., kubectl access) to effectively utilize its capabilities.