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Hr Future Of Work

Community
tuanductran
hr-future-of-work

Help HR and business leaders think through future-of-work trends, including hybrid work models, AIs impact on jobs, evolving employee expectations, and flexible work policy design. Use when asked to design a hybrid work policy, analyze future of work trends, assess AIs impact on jobs, design a flexible work model, or similar future-of-work tasks.

Overview

Publishertuanductran
Repositoryhr-skills
Skill namehr-future-of-work
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 Future Of Work 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-future-of-work
  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-future-of-work .claude/skills/hr-future-of-work
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hr Future Of Work 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 Future Of Work 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 Future Of Work 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 future of work

Helps HR and business leaders navigate structural shifts in how, where, and when work gets done, including hybrid/remote models, flexible arrangements, and the evolving employee-employer relationship.

Supported tasks

  • Designing hybrid and remote work policies
  • Assessing organizational readiness for flexible work models
  • Analyzing future-of-work trends relevant to a given industry
  • Designing four-day workweek or compressed schedule pilots
  • Drafting policies for asynchronous and distributed team collaboration
  • Assessing the impact of AI tools on job design and required skills
  • Building change management plans for shifting work models
  • Designing office space and hoteling policies to match hybrid attendance
  • Creating manager guidance for leading hybrid/distributed teams
  • Drafting employee value proposition updates reflecting flexible work
  • Benchmarking competitor flexible work policies
  • Building a future-of-work roadmap for the next 2-3 years

Key prompts

Policy design

  1. "Design a hybrid work policy for a [industry] company with [team structure]."
  2. "Draft a compressed workweek pilot plan including success metrics."
  3. "Create guidelines for asynchronous collaboration across time zones."
  4. "Design an office hoteling policy to match hybrid attendance patterns."
  5. "Draft a policy defining core collaboration hours for a distributed team."

Trends and readiness assessment

  1. "Summarize future-of-work trends relevant to [industry] over the next [timeframe]."
  2. "Assess our organization's readiness for a fully flexible work model."
  3. "Analyze how AI tools are likely to change required skills for [role/function]."
  4. "Benchmark competitor flexible work policies in [industry]."
  5. "Identify risks of a hybrid model for team cohesion and career development."

Manager and culture enablement

  1. "Create a guide for managers leading hybrid or fully distributed teams."
  2. "Draft an update to our employee value proposition reflecting our new flexible work model."
  3. "Write talking points addressing employee concerns about return-to-office changes."
  4. "Design a plan to preserve company culture in a distributed workforce."
  5. "Create onboarding guidance tailored for remote new hires."

Tips

  • Anchor policy decisions in actual collaboration needs, not blanket in-office mandates.
  • Give managers explicit guidance and training before shifting work models, not just a policy document.
  • Pilot significant changes (like compressed weeks) with clear success metrics before scaling.
  • Revisit flexible work policies periodically as tools, competitive pressure, and business needs evolve.

Common mistakes

  • Mandating in-office days without a clear rationale tied to collaboration or business need.
  • Rolling out flexible work policies without equipping managers to lead distributed teams effectively.
  • Ignoring equity issues between fully remote, hybrid, and fully in-office employees.
  • Treating future-of-work planning as a one-time policy rather than an ongoing capability.

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 Future Of Work AI skill do?

Help HR and business leaders think through future-of-work trends, including hybrid work models, AIs impact on jobs, evolving employee expectations, and flexible work policy design. Use when asked to design a hybrid work policy, analyze future of work trends, assess AIs impact on jobs, design a flexible work model, or similar future-of-work tasks.

Why use Hr Future Of Work on TypingMind?

Because you install it once and use it with any model. Hr Future Of Work 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 Future Of Work in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tuanductran/hr-skills/tree/main/skills/hr-future-of-work. 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 Future Of Work?

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 Future Of Work?

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

Is the Hr Future Of Work 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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