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Hr Digital Hr

Community
tuanductran
hr-digital-hr

Help HR leaders and People Ops teams design and execute HR digital transformation, including HR tech stack strategy, digital employee experience, process automation, and data-driven HR. Use when asked to digitize HR processes, build our HR tech stack, improve digital employee experience, automate HR workflows as part of digital transformation, implement an HRIS as part of digital HR transformation, or create a digital HR roadmap.

Overview

Publishertuanductran
Repositoryhr-skills
Skill namehr-digital-hr
Stars
78
Forks
20
Bundled files
4
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.

  • 4 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 Digital Hr 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-digital-hr
  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-digital-hr .claude/skills/hr-digital-hr
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hr Digital Hr 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 Digital Hr 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 Digital Hr 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.

Digital HR transformation

Strategic and operational guidance for HR digital transformation — from HR technology strategy and stack design to process digitization, employee-facing digital experience, and building a data-driven HR function.

Supported tasks

  • Designing HR digital transformation roadmaps
  • Building and assessing HR technology stacks
  • Evaluating and selecting HR software platforms
  • Digitizing and automating core HR processes
  • Designing digital employee and manager self-service experiences
  • Building HR chatbot and virtual assistant strategies
  • Establishing HR data governance and analytics foundations
  • Managing HR technology implementations and change
  • Developing digital HR capability in HR teams
  • Creating business cases for HR technology investment
  • Designing digital onboarding and offboarding workflows
  • Measuring digital HR adoption and experience quality

Key prompts

Digital HR strategy

  1. "Build a 3-year digital HR transformation roadmap for [company size / industry]."
  2. "What digital HR priorities should we focus on in [year] given our maturity level is [beginner / intermediate / advanced]?"
  3. "How do we build the business case for investing [budget] in HR technology for [executive audience]?"
  4. "What HR processes should we digitize first to deliver the fastest employee experience improvements?"
  5. "How do we assess our current digital HR maturity and identify the biggest capability gaps?"
  6. "What does a leading-edge digital HR function look like in [industry] and how do we benchmark against it?"

HR tech stack design

  1. "Design an integrated HR tech stack for [company size] covering [core HR / recruiting / L&D / analytics]."
  2. "What criteria should we use to evaluate HR software vendors for [use case]?"
  3. "How should we decide whether to consolidate on a single HCM platform or use best-of-breed tools?"
  4. "What integration architecture works best for connecting [HRIS] with [ATS / payroll / LMS]?"
  5. "Write an RFP template for selecting a new [HRIS / ATS / performance management] system."
  6. "What hidden costs should we account for when evaluating HR technology TCO?"

Process digitization and automation

  1. "Map the current-state process for [HR process] and identify automation opportunities."
  2. "Design a digital workflow for [onboarding / offboarding / leave management] using [platform]."
  3. "What HR tasks are best suited for RPA versus AI-powered automation versus simple workflow tools?"
  4. "How do we reduce manual HR admin time for [process] by [target percentage]?"
  5. "Design an employee self-service portal that handles [top 10 HR queries] without HR intervention."

Digital employee experience

  1. "Design a digital employee experience for the [onboarding / performance / learning] journey in [company]."
  2. "What makes an HR chatbot effective for employee queries versus frustrating and unhelpful?"
  3. "How do we measure digital employee experience quality and identify friction points?"
  4. "Build a digital HR communication plan to drive adoption of [new HR tool or process]."
  5. "What manager-facing digital tools reduce HR burden while improving people management quality?"

Data and analytics

  1. "Design an HR data governance framework for [organization] covering data ownership, quality, and access."
  2. "What HR analytics use cases should we prioritize given our data maturity is [level]?"
  3. "How do we build a single source of truth for workforce data across [HRIS / ATS / payroll systems]?"
  4. "What does an effective HR analytics dashboard look like for [CHRO / HRBP / line manager] audience?"
  5. "How do we move from descriptive HR reporting to predictive workforce analytics?"

Tips

  • Technology follows process — digitize clean, well-designed processes; automating a broken process only makes it break faster.
  • Employee adoption, not go-live, is the real measure of a digital HR implementation's success; build change management into every tech project.
  • HR teams often underestimate data quality as a blocker — audit and clean workforce data before building analytics on top of it.
  • Start with the employee's digital experience, not the HR team's workflow; employee-facing friction creates the most visible and costly problems.
  • Avoid "shiny object" technology buying — tie every HR tech investment to a specific business outcome or employee pain point you can measure.

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 Digital Hr AI skill do?

Help HR leaders and People Ops teams design and execute HR digital transformation, including HR tech stack strategy, digital employee experience, process automation, and data-driven HR. Use when asked to digitize HR processes, build our HR tech stack, improve digital employee experience, automate HR workflows as part of digital transformation, implement an HRIS as part of digital HR transformation, or create a digital HR roadmap.

Why use Hr Digital Hr on TypingMind?

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

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

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 Digital Hr?

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

Is the Hr Digital Hr 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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