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Devops Troubleshooter

Listed
sickn33·vlatest·devops·MIT

Diagnoses and resolves common DevOps pipeline errors, infrastructure issues, and deployment failures quickly.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add sickn33/agentic-awesome-skills --skill devops-troubleshooter -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

sickn33

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
5a4cdd9df8
Manifest
skills/devops-troubleshooter/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The Devops Troubleshooter skill enables AI agents to diagnose and resolve common DevOps pipeline errors, infrastructure issues, and deployment failures. It specializes in rapid incident response, advanced debugging, and modern observability practices, leveraging expertise in log analysis, distributed tracing, and system reliability engineering. The agent can provide actionable steps for problem resolution and root cause analysis, drawing upon a comprehensive knowledge base of tools and techniques.

When to use it

  • When facing DevOps pipeline errors or deployment failures that require rapid troubleshooting.
  • To receive guidance on best practices and checklists for resolving DevOps issues.
  • During incident response scenarios where quick problem resolution is critical.

Key capabilities

  • Modern Observability & Monitoring: Expertise with logging platforms (ELK Stack, Loki/Grafana, Fluentd), APM solutions (DataDog, New Relic), metrics tools (Prometheus, Grafana), and distributed tracing systems (Jaeger, Zipkin).
  • Container & Kubernetes Debugging: Proficiency in kubectl commands, container runtime debugging (Docker, containerd), pod troubleshooting, service mesh debugging (Istio, Linkerd), and Kubernetes networking.
  • Network & DNS Troubleshooting: Ability to analyze network traffic with tools like tcpdump and debug DNS propagation issues.
  • Performance & Resource Analysis: Expertise in identifying performance bottlenecks related to CPU, memory, disk I/O, and database query optimization.

Example prompts

  • "I'm seeing high latency on our API endpoint. Can you help me troubleshoot?"
  • "My Kubernetes pod is stuck in a CrashLoopBackOff state. What are the likely causes and how can I fix it?"
  • “What’s the best way to debug network connectivity issues between my microservices?”

Tips & gotchas

  • Clearly define the goals, constraints, and required inputs for the troubleshooting task.
  • For more detailed guidance or implementation examples, consult the resources/implementation-playbook.md file.
  • The skill is specifically focused on DevOps troubleshooting; tasks outside this scope are not within its expertise.