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Hr Devops

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tuanductran
hr-devops

Help HR managers, recruiters, and talent acquisition teams understand DevOps, Platform Engineering, Site Reliability Engineering (SRE), cloud infrastructure, CI/CD, and modern software delivery workflows. Use when asked to explain DevOps, screen DevOps candidates, understand CI/CD, compare DevOps and SRE, evaluate infrastructure skills, create DevOps interview questions, understand cloud systems, or any DevOps hiring and recruiting task.

Overview

Publishertuanductran
Repositoryhr-skills
Skill namehr-devops
Stars
78
Forks
20
Bundled files
3
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by tuanductran on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/tuanductran/hr-skills/tree/main/skills/hr-devops
  4. 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.
2

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/tuanductran/hr-skills.git /tmp/hr-skills
mkdir -p .claude/skills
cp -r /tmp/hr-skills/skills/hr-devops .claude/skills/hr-devops
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hr 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 Hr 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 Hr 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.

HR DevOps hiring

Comprehensive DevOps and Infrastructure Engineering knowledge for HR and recruiters — from understanding CI/CD pipelines and cloud systems to evaluating DevOps candidates, interpreting infrastructure workflows, and improving technical hiring decisions.

Supported tasks

  • Explaining DevOps and infrastructure concepts for non-technical recruiters
  • Understanding modern DevOps ecosystems and cloud workflows
  • Screening DevOps and SRE candidates effectively
  • Evaluating infrastructure portfolios and GitHub profiles
  • Creating DevOps interview questions and hiring scorecards
  • Comparing DevOps, SRE, Platform Engineering, and Cloud Engineering roles
  • Understanding CI/CD pipelines and deployment systems
  • Identifying DevOps seniority levels and skill expectations
  • Understanding scalability, reliability, observability, and cloud infrastructure
  • Writing DevOps job descriptions and hiring requirements
  • Explaining DevOps terminology used by engineers
  • Understanding collaboration between developers, QA, security, and operations teams

What DevOps means in 2026

Modern DevOps is no longer:

  • "just server management"
  • "only deployment automation"
  • "a person who does everything infrastructure-related"

In 2026, DevOps increasingly includes:

  • cloud-native infrastructure
  • CI/CD automation
  • infrastructure as code
  • observability
  • platform engineering
  • developer experience (DX)
  • reliability engineering
  • Kubernetes orchestration
  • security automation
  • AI-assisted operations

Many companies are also shifting from traditional DevOps roles toward Platform Engineering and Internal Developer Platforms (IDPs).

DevOps ecosystem (2026)

Cloud platforms

  • AWS
  • Google Cloud Platform (GCP)
  • Microsoft Azure
  • Cloudflare

Containers and orchestration

  • Docker
  • Kubernetes
  • Helm

Kubernetes remains the dominant orchestration platform for scalable cloud-native systems.

CI/CD tools

  • GitHub Actions
  • GitLab CI
  • Jenkins
  • CircleCI
  • Argo CD

Infrastructure as Code (IaC)

  • Terraform
  • Pulumi
  • Ansible

Monitoring and observability

  • Prometheus
  • Grafana
  • Datadog
  • New Relic
  • OpenTelemetry

Platform engineering and deployment

  • Vercel
  • Netlify
  • Railway
  • Render

Linux and networking

  • Linux
  • Bash
  • NGINX
  • DNS
  • Load balancing

Security and secrets management

  • Vault
  • SOPS
  • IAM
  • Security scanning

Types of DevOps-related roles

DevOps Engineer

Focuses on:

  • CI/CD pipelines
  • deployment automation
  • infrastructure management
  • cloud systems
  • release workflows

Site Reliability Engineer (SRE)

Focuses on:

  • reliability
  • uptime
  • incident response
  • scalability
  • production stability

Google originally popularized SRE as a software engineering approach to operations and reliability.

Platform Engineer

Focuses on:

  • internal developer platforms
  • developer productivity
  • self-service infrastructure
  • engineering workflows
  • platform standardization

Cloud Engineer

Focuses on:

  • cloud architecture
  • networking
  • infrastructure provisioning
  • cloud security
  • cloud operations

DevSecOps Engineer

Focuses on:

  • infrastructure security
  • compliance automation
  • secrets management
  • security scanning
  • secure CI/CD pipelines

Key prompts

DevOps fundamentals

  1. "Explain DevOps, SRE, and platform engineering in simple terms for [non-technical sourcers]."
  2. "What does a DevOps Engineer actually do day to day in a team building [scale-up SaaS applications]?"
  3. "What is the difference between [DevOps, SRE, Platform Engineer, and Cloud Engineer] roles?"
  4. "Why is DevOps and automation important in modern software organizations aiming for [continuous delivery]?"
  5. "What infrastructure and automation skills are most important for [Applied AI vs Cloud Infrastructure] roles in 2026?"

CI/CD and automation

  1. "What is a CI/CD pipeline, and why do companies use it to accelerate [software release cycles]?"
  2. "What is the difference between [GitHub Actions, Jenkins, and GitLab CI] from a candidate screening perspective?"
  3. "How do DevOps engineers automate secure deployments for [microservices-based applications]?"
  4. "What software delivery workflows are common in [modern DevOps-centric engineering teams]?"
  5. "What automation and scripting skills (for example, Bash, Python) should recruiters recognize on resumes for [Site Reliability Engineers]?"

Cloud and infrastructure

  1. "Why are cloud platforms (for example, AWS, GCP) important in [modern DevOps environments]?"
  2. "What is Kubernetes, and why is it widely used in [enterprise scaling]?"
  3. "What cloud infrastructure and networking skills are expected from a [Senior/Staff DevOps Engineer]?"
  4. "How do DevOps engineers manage application [scalability, high availability, and database replication]?"
  5. "What cloud and container ecosystem trends should recruiters understand when hiring in [2026]?"

DevOps candidate screening

  1. "How can I evaluate a DevOps candidate's [infrastructure and automation depth] without being highly technical?"
  2. "What are common red flags when screening [DevOps vs Platform Engineer] candidates?"
  3. "What should I look for in a DevOps candidate's [GitHub repository, infrastructure portfolio, or Terraform configurations]?"
  4. "How do I distinguish between [Junior, Middle, Senior, and Staff] DevOps engineers?"
  5. "Create a technical screening scorecard and interview questions for a [Senior Site Reliability Engineer] role."

DevOps terminology for HR

  1. "Explain [CI/CD, Kubernetes, Docker, Infrastructure as Code, and observability] in simple terms for [new recruiters joining the team]."
  2. "What do DevOps engineers mean by [reliability, uptime, SLOs, and MTTR]?"
  3. "What is the difference between [containers and virtual machines], and why does it affect [our hiring requirements]?"
  4. "What is Infrastructure as Code, and why do teams use [Terraform vs Pulumi]?"
  5. "Which DevOps terms are [core competencies] versus [transient technologies] that I should filter for on resumes?"

DevOps hiring insights

Junior DevOps Engineer

Common expectations:

  • Linux fundamentals
  • Basic cloud platform knowledge
  • CI/CD awareness
  • Docker familiarity
  • Scripting basics

Mid-level DevOps Engineer

Common expectations:

  • CI/CD pipeline management
  • Infrastructure as Code experience
  • Cloud deployment knowledge
  • Monitoring and logging familiarity
  • Kubernetes awareness
  • Automation workflows

Senior DevOps Engineer

Common expectations:

  • Scalable infrastructure architecture
  • Reliability engineering expertise
  • Security and compliance awareness
  • Incident management leadership
  • Multi-cloud and networking knowledge
  • Observability and monitoring strategy
  • Mentoring and technical leadership

Staff / Lead DevOps Engineer

Common expectations:

  • Organization-wide infrastructure leadership
  • Platform engineering strategy
  • Reliability and scalability ownership
  • Internal developer platform design
  • Cross-team engineering enablement
  • Long-term infrastructure decision making

Important hiring realities

DevOps is NOT "someone who does everything"

Many companies incorrectly expect DevOps engineers to simultaneously handle:

  • cloud infrastructure
  • cybersecurity
  • backend engineering
  • networking
  • SRE
  • platform engineering
  • database administration
  • QA automation

This is often unrealistic.

Modern DevOps is increasingly platform-oriented

Many engineering organizations are shifting toward:

  • platform engineering
  • developer experience optimization
  • self-service infrastructure
  • internal tooling
  • automation-heavy workflows

rather than traditional manual operations work.

Kubernetes knowledge alone does NOT equal strong DevOps skills

A candidate may:

  • deploy Kubernetes clusters
  • but still lack:
    • reliability engineering
    • automation maturity
    • incident management
    • scalability thinking
    • operational ownership

Strong DevOps engineers often think in systems

Strong candidates usually demonstrate:

  • automation mindset
  • reliability thinking
  • scalability awareness
  • debugging ability
  • infrastructure ownership
  • developer enablement
  • operational discipline

rather than only tool lists.

Common HR misunderstandings

DevOps ≠ only operations

Modern DevOps often includes:

  • software engineering
  • automation
  • cloud architecture
  • platform engineering
  • observability
  • infrastructure as code
  • reliability engineering

SRE ≠ traditional DevOps

SRE roles are often more focused on:

  • reliability
  • uptime
  • production engineering
  • incident response
  • service-level objectives (SLOs)

More cloud certifications ≠ stronger DevOps engineer

Strong DevOps engineers usually demonstrate:

  • production experience
  • automation ownership
  • incident handling
  • infrastructure design
  • scalability thinking
  • operational maturity

rather than only certifications.

Tips

  • Senior DevOps and SRE professionals should be evaluated on their reliability ownership, scalability architecture, and developer enablement rather than just tool lists or certifications.
  • Portfolios and resumes are most credible when they show real-world infrastructure-as-code automation (e.g. Terraform), deployment system pipelines, and production incident response.
  • Recruiters should clarify the exact DevOps focus needed: SRE (production uptime and reliability), Platform Engineering (internal tooling/automation), or Cloud Infrastructure.
  • Foundation technologies such as Docker, Kubernetes, and CI/CD pipelines remain central skills in DevOps, but the core value lies in reducing developer friction and build times.
  • Avoid "unicorn" job descriptions that expect a single individual to simultaneously master cloud architecture, deep backend development, cybersecurity, database administration, and SRE.

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 Hr Devops AI skill do?

Help HR managers, recruiters, and talent acquisition teams understand DevOps, Platform Engineering, Site Reliability Engineering (SRE), cloud infrastructure, CI/CD, and modern software delivery workflows. Use when asked to explain DevOps, screen DevOps candidates, understand CI/CD, compare DevOps and SRE, evaluate infrastructure skills, create DevOps interview questions, understand cloud systems, or any DevOps hiring and recruiting task.

Why use Hr Devops on TypingMind?

Because you install it once and use it with any model. Hr 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 Hr Devops in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tuanductran/hr-skills/tree/main/skills/hr-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 Hr 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 Hr Devops?

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

Is the Hr Devops AI skill free?

Yes. It is published on GitHub by tuanductran under the MIT 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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