Devops Engineer
CheckedAutomates infrastructure provisioning, CI/CD pipelines, and configuration management using best practices from a seasoned DevOps engineer.
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 jochenyang/jochen-ai-rules --skill devops-engineer -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
jochenyang
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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
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 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 jochenyang/jochen-ai-rules at 2772c5d4db.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 2772c5d4db
- Manifest
- skills/devops-engineer/SKILL.md
- Scanned
- 2 files, 502 lines
About this skill
What it does
This skill provides DevOps engineering expertise to your AI agent. It can assist with automating infrastructure, managing deployments, and troubleshooting system issues. Specifically, it helps streamline processes related to cloud environments and application lifecycle management.
When to use it
- Automating Infrastructure: You need to quickly provision servers or configure network settings for a new project.
- Deployment Pipeline Issues: Your CI/CD pipeline is failing, and you require assistance in identifying and resolving the root cause.
- Cloud Resource Optimization: You want to analyze your cloud resource usage and identify areas for cost savings.
- Troubleshooting Application Errors: An application is experiencing errors, and you need help diagnosing server-side issues.
Key capabilities
- Infrastructure automation
- CI/CD pipeline management
- Cloud resource optimization
- Application troubleshooting
Example prompts
- "Help me automate the provisioning of a new Kubernetes cluster on AWS."
- "My Jenkins pipeline is failing; can you help me debug it?"
- "Analyze my Azure cloud spending and suggest ways to reduce costs."
- “What are some common causes for 502 errors in an Nginx reverse proxy?”
Tips & gotchas
The skill's effectiveness depends on providing clear context about your environment, including relevant configuration files or error logs. While it can offer suggestions, always review and test changes thoroughly before implementing them in production.