Using Devops Skills
CheckedAutomates infrastructure provisioning, configuration management, CI/CD pipelines, and monitoring using DevOps best practices.
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 lgbarn/devops-skills --skill using-devops-skills -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
lgbarn
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 lgbarn/devops-skills at 8a37cc3fe5.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 8a37cc3fe5
- Scanned
- 1 file, 165 lines
About this skill
What it does
This skill enables AI agents to leverage DevOps principles and practices. It facilitates tasks such as automating infrastructure provisioning, managing code deployments, and implementing continuous integration/continuous delivery (CI/CD) pipelines. The agent can assist with troubleshooting deployment issues and optimizing system performance based on DevOps methodologies.
When to use it
- Automating Infrastructure: When you need to quickly provision servers or cloud resources for development or testing environments.
- Managing Code Releases: To streamline the process of deploying new code versions, reducing manual errors and accelerating release cycles.
- Troubleshooting Deployment Failures: When deployments fail, this skill can help identify root causes and suggest remediation steps.
- Optimizing CI/CD Pipelines: To analyze existing pipelines for bottlenecks and inefficiencies, suggesting improvements to speed up the development process.
Key capabilities
- Infrastructure as Code (IaC)
- CI/CD Pipeline Management
- Automated Deployment
- Deployment Troubleshooting
- Performance Optimization
Example prompts
- "Create a Terraform script to provision three EC2 instances in AWS."
- "Analyze my Jenkins pipeline and suggest ways to improve its efficiency."
- "My deployment failed with error code X. What could be the cause?"
- “Generate a Dockerfile for my Python application.”
Tips & gotchas
This skill assumes some familiarity with DevOps terminology and tools like Terraform, Jenkins, or Docker. While it can assist in generating scripts and configurations, understanding the underlying concepts is crucial for effective use and troubleshooting.