Devops Platform Patterns
CheckedHelps with DevOps, patterns as part of automating DevOps pipelines and CI/CD workflows workflows.
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 majesticlabs-dev/majestic-marketplace --skill devops-platform-patterns -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
majesticlabs-dev
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 majesticlabs-dev/majestic-marketplace at 04e97708c2.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 04e97708c2
- Scanned
- 1 file, 79 lines
About this skill
What it does
This skill provides insights and recommendations for structuring DevOps platforms based on established patterns. It helps identify common architectural approaches, like Infrastructure as Code (IaC), Continuous Integration/Continuous Delivery (CI/CD) pipelines, and configuration management strategies. The skill can analyze existing infrastructure descriptions or requirements to suggest optimal platform designs aligned with best practices.
When to use it
- Designing a new DevOps platform: Get guidance on selecting appropriate tools and architectural patterns for your environment.
- Troubleshooting performance bottlenecks: Identify inefficiencies in existing pipelines or configurations by comparing them against established patterns.
- Modernizing legacy infrastructure: Receive recommendations for migrating from older, less efficient approaches to more modern DevOps practices.
- Standardizing across teams: Ensure consistency and best practices are applied when building and managing infrastructure.
Key capabilities
- Pattern identification: Recognizes common DevOps platform patterns.
- Architectural analysis: Evaluates existing infrastructure descriptions.
- Recommendation generation: Suggests improvements based on established patterns.
- IaC support: Provides guidance for Infrastructure as Code implementations.
- CI/CD pipeline optimization: Offers insights into improving Continuous Integration and Delivery workflows.
Example prompts
- "Analyze this Terraform configuration and suggest any deviations from best practices."
- "What are the common patterns for implementing a CI/CD pipeline with Kubernetes?"
- "Recommend an architecture for managing infrastructure as code in AWS."
Tips & gotchas
The skill's effectiveness depends on providing clear and detailed descriptions of your current or planned DevOps environment. It is most useful when given structured data, such as Terraform configurations or YAML files describing pipelines.