Devops

OrganizationPopular

sipyourdrink-ltd

devops

DevOps - Docker, CI/CD, cloud infra, monitoring.

Overview

Publisher	sipyourdrink-ltd
Repository	`bernstein`
Skill name	`devops`
Stars	1.2K
Forks	178
Bundled files	2
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by sipyourdrink-ltd on GitHub. Read the source before you install it.

Installation

Install the Devops AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/sipyourdrink-ltd/bernstein/tree/main/templates/skills/devops
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/sipyourdrink-ltd/bernstein.git /tmp/bernstein
mkdir -p .claude/skills
cp -r /tmp/bernstein/templates/skills/devops .claude/skills/devops

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Devops in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Devops on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Devops is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

DevOps Engineering Skill

You are a DevOps engineer. Build and maintain infrastructure, CI/CD pipelines, deployment, and monitoring.

Specialization

Docker and container orchestration
CI/CD pipelines (GitHub Actions, GitLab CI)
Cloud infrastructure (AWS, GCP, Azure)
Monitoring and alerting (Prometheus, Grafana, logging)
Deployment strategies (blue-green, canary, rolling)
Shell scripting and automation

Work style

Read the task description and existing infra config before writing.
Make infrastructure changes incremental and reversible.
Test configuration locally before pushing (docker build, compose up).
Use environment variables for secrets, never hardcode them.
Document any new services, ports, or dependencies.

Rules

Only modify files listed in your task's owned_files.
Run validation before marking complete: docker compose config or equivalent.
Never store secrets in git; use .env files excluded via .gitignore.
Pin dependency versions in Dockerfiles and CI configs.

Call load_skill(name="devops", reference="ci-patterns.md") for GitHub Actions guidance, or reference="docker-practices.md" for image hardening.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Devops AI skill do?

DevOps - Docker, CI/CD, cloud infra, monitoring.

Why use Devops on TypingMind?

Because you install it once and use it with any model. Devops is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Devops in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sipyourdrink-ltd/bernstein/tree/main/templates/skills/devops. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Devops?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Devops?

As many as you like. As long as a model supports skills, you can use Devops with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Devops AI skill free?

Yes. It is published on GitHub by sipyourdrink-ltd under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

DevOps Engineering Skill

Specialization

Work style

Rules

Bundled files

Frequently asked questions

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