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Hr Ar Vr

Community
tuanductran
hr-ar-vr

Help HR and recruiting teams hire and assess AR/VR (augmented and virtual reality) engineering and design candidates. Use when asked to write an AR/VR engineer job description, create a spatial computing interview, assess an AR/VR candidates portfolio, build an AR/VR role leveling framework, or similar AR/VR hiring tasks.

Overview

Publishertuanductran
Repositoryhr-skills
Skill namehr-ar-vr
Stars
78
Forks
20
Bundled files
3
LicenseMIT
Links
  • 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 Ar Vr 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-ar-vr
  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-ar-vr .claude/skills/hr-ar-vr
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hr Ar Vr 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 Ar Vr 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 Ar Vr 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 AR/VR hiring

Helps HR and recruiting teams hire across AR/VR and spatial computing roles — engineering, 3D/UX design, and performance optimization — for an emerging and fast-evolving field.

Supported tasks

  • Writing job descriptions for AR/VR engineer, spatial UX designer, and 3D artist roles
  • Building a leveling framework for AR/VR engineering and design roles
  • Creating technical screening questions covering performance optimization for real-time rendering
  • Designing portfolio review guides for spatial UX and 3D art candidates
  • Drafting interview questions on motion sickness/comfort design considerations
  • Building a glossary of AR/VR/spatial computing terminology for non-technical recruiters
  • Creating a skills matrix comparing candidates across platforms (Unity XR, Unreal, native SDKs)
  • Drafting reference-check questions focused on shipped AR/VR applications
  • Designing a sourcing strategy for niche spatial computing talent
  • Building compensation benchmarking guidance for AR/VR roles
  • Creating onboarding plans for new AR/VR hires, including hardware/headset setup
  • Auditing job postings for outdated or overly narrow AR/VR platform requirements

Key prompts

Job descriptions and leveling

  1. "Write a job description for a [seniority] AR/VR Engineer role using [Unity XR/Unreal/native SDK]."
  2. "Build a leveling framework distinguishing junior, mid, and senior spatial computing engineers."
  3. "Explain the difference between a spatial UX designer and a 3D artist for a recruiter."
  4. "Create a glossary of AR/VR terms (six degrees of freedom, foveated rendering, hand tracking) for non-technical recruiters."
  5. "Draft a job description for a spatial UX designer role focused on comfort and accessibility."

Portfolio and technical evaluation

  1. "Create a portfolio review guide for evaluating a spatial UX designer's past shipped experiences."
  2. "Draft interview questions covering real-time rendering performance optimization for headset hardware constraints."
  3. "Design interview questions probing a candidate's approach to reducing motion sickness in VR experiences."
  4. "Build a skills matrix comparing candidates' experience across Unity XR, Unreal, and native platform SDKs."
  5. "Draft a take-home exercise asking a candidate to prototype a basic interaction pattern in AR/VR."

Sourcing and evaluation

  1. "Draft a sourcing strategy for finding spatial computing engineers from adjacent game development backgrounds."
  2. "Draft reference-check questions focused on a candidate's role in a shipped AR/VR application."
  3. "Create compensation benchmarking guidance for AR/VR roles by specialization and region."
  4. "Draft onboarding guidance for a new AR/VR hire covering headset and lab hardware setup."
  5. "Audit this job posting for outdated platform requirements given how quickly AR/VR tooling evolves."

Tips

  • Review actual shipped or demo-able AR/VR experiences whenever possible; static portfolios undersell spatial work.
  • Weight performance-optimization experience heavily, since headset hardware constraints are far tighter than typical screens.
  • Ask specifically about comfort/motion-sickness design decisions, a domain-specific and often overlooked skill.
  • Plan onboarding to include headset and lab hardware setup, which takes longer than standard software onboarding.

Common mistakes

  • Evaluating AR/VR candidates only through static images/video instead of hands-on or live demo review.
  • Underweighting performance optimization skill, critical given tight headset hardware constraints.
  • Ignoring comfort and accessibility design considerations specific to spatial computing.
  • Writing job postings around platform requirements that are already outdated given the field's fast pace of change.

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 Ar Vr AI skill do?

Help HR and recruiting teams hire and assess AR/VR (augmented and virtual reality) engineering and design candidates. Use when asked to write an AR/VR engineer job description, create a spatial computing interview, assess an AR/VR candidates portfolio, build an AR/VR role leveling framework, or similar AR/VR hiring tasks.

Why use Hr Ar Vr on TypingMind?

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

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

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 Ar Vr?

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

Is the Hr Ar Vr 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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