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Hr Automation

Community
tuanductran
hr-automation

Help HR teams identify, design, and implement automation opportunities across HR processes including workflows, HRIS configuration, AI tools, and no-code solutions. Use when asked to automate HR processes, build HR workflows, reduce HR admin work, implement HRIS automation, use AI in HR, or similar HR automation tasks.

Overview

Publishertuanductran
Repositoryhr-skills
Skill namehr-automation
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 Automation 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-automation
  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-automation .claude/skills/hr-automation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hr Automation 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 Automation 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 Automation 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 automation

Identify, design, and implement automation across the HR function — from no-code workflow tools and HRIS configuration to AI-assisted content generation and chatbot use cases — freeing HR teams from administrative burden to focus on higher-value people work.

Supported tasks

  • Identifying and prioritizing HR process automation opportunities
  • Designing automated workflows for onboarding, offboarding, and lifecycle events
  • Building HRIS automation configurations and integration specifications
  • Creating HR chatbot and virtual assistant use case designs
  • Developing AI-assisted HR content generation frameworks
  • Mapping current-state HR processes for automation readiness assessment
  • Writing business cases for HR automation investments
  • Designing data quality frameworks to support automation reliability
  • Creating change management plans for HR automation rollouts
  • Measuring automation ROI through time savings and error reduction metrics

Key prompts

Automation opportunity identification

  1. "Identify the top 10 HR processes with the highest automation potential in [company context]."
  2. "Create an HR process automation prioritization matrix based on volume, complexity, and impact."
  3. "Conduct an HR admin burden assessment to identify time-intensive manual tasks."
  4. "Map the onboarding process and flag automation opportunities at each step."
  5. "Develop an HR automation readiness assessment for [HRIS/data quality/process maturity]."

Workflow design

  1. "Design an automated onboarding workflow from offer acceptance to day-one readiness."
  2. "Build a lifecycle event automation map for [promotion/transfer/departure] processes."
  3. "Create an automated leave management workflow integrating approval, notification, and payroll."
  4. "Design a document generation automation for [offer letters/contracts/policies]."
  5. "Develop an automated HR reporting workflow for weekly and monthly dashboards."

AI and technology in HR

  1. "Design an HR chatbot use case covering [FAQs/leave queries/policy questions]."
  2. "Create a framework for using AI in [resume screening/interview scheduling/onboarding content]."
  3. "Develop guidelines for responsible AI use in HR processes."
  4. "Write an HRIS automation specification for [Workday/SAP/BambooHR] configuration."
  5. "Design an AI-assisted HR content workflow for job descriptions, communications, and policies."

Business case and ROI

  1. "Write a business case for investing in HR automation for [specific process]."
  2. "Develop an HR automation ROI model tracking time saved, error reduction, and employee experience."
  3. "Create a total cost of ownership framework for HR automation tools."
  4. "Build an HR automation roadmap from quick wins to strategic transformation."
  5. "Design a KPI framework for measuring HR automation program success."

Tips

  • Start automation with high-volume, rule-based processes—they deliver the fastest ROI and lowest implementation risk.
  • Clean data is a prerequisite for reliable automation; audit data quality before building automated workflows.
  • Involve employees and managers in automation design to ensure usability and avoid creating new friction.
  • Apply responsible AI principles to any automated HR decision-making, especially in hiring and performance.
  • Automate the task, not the relationship—use automation to free HR capacity for complex human interactions.
  • Measure time saved and error reduction post-implementation to validate automation investment and justify further scope.

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 Automation AI skill do?

Help HR teams identify, design, and implement automation opportunities across HR processes including workflows, HRIS configuration, AI tools, and no-code solutions. Use when asked to automate HR processes, build HR workflows, reduce HR admin work, implement HRIS automation, use AI in HR, or similar HR automation tasks.

Why use Hr Automation on TypingMind?

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

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

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 Automation?

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

Is the Hr Automation 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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