Hr Skills Maintaining logo

Hr Skills Maintaining

Community
tuanductran
hr-skills-maintaining

Repository-level skill describing metadata, directory structure, workflows, and conventions for the hr-skills monorepo. Use this skill when validating, creating, editing, or maintaining HR skill packages, including SKILL.md, content/, prompts/, and examples/.

Overview

Publishertuanductran
Repositoryhr-skills
Skill namehr-skills-maintaining
Stars
78
Forks
20
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Hr Skills Maintaining 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/.agents/skills/hr-skills-maintaining
  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/.agents/skills/hr-skills-maintaining .claude/skills/hr-skills-maintaining
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hr Skills Maintaining 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 Skills Maintaining 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 Skills Maintaining 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 Skills repository guide

This skill defines the repository-wide conventions for the hr-skills monorepo. It helps AI assistants and contributors consistently create, validate, edit, and maintain skill packages.

Each skill is stored in its own directory under skills/ and must contain a SKILL.md. Supporting documentation may be added through content/, prompts/, and examples/, each serving a distinct purpose.

Repository structure

Each skill lives under skills/hr-<name>/.

text
skills/hr-<name>/
├── SKILL.md                    # Required
├── content/                    # Optional
│   └── <name>.md
├── prompts/                    # Optional
│   └── <topic>.md
└── examples/                   # Optional
    └── <scenario>.md

File responsibilities

Each file has a single responsibility.

  • SKILL.md defines activation behavior, supported tasks, prompt summaries, repository metadata, and usage guidance.
  • content/ contains detailed reference documentation, concepts, frameworks, terminology, and best practices.
  • prompts/ stores reusable prompt libraries grouped by a single HR topic.
  • examples/ demonstrates realistic end-to-end HR workflows and business scenarios.

Supporting files should complement each other instead of repeating the same information.

Content quality standards

  • HR-domain only — prompts and guidance must cover HR-specific patterns and best practices, not generic management or business advice.
  • No obvious content — avoid widely-known basics. Focus on nuanced guidance that HR professionals actually need AI assistance with.
  • SKILL.md is for AI agents — be concise; context window is a shared resource. Assume the agent is smart; only include what it doesn't already know. Use progressive disclosure — SKILL.md is an overview, not an exhaustive manual.
  • Trigger phrases matter — the description field determines when a skill activates. Include specific, realistic HR trigger phrases like "Write a PIP", "Conduct a stay interview", "Analyze turnover".

Checklist before publishing a skill

Core quality

  • description is specific and includes key HR trigger phrases
  • description covers both what the skill does and when to use it
  • SKILL.md body is under 500 lines
  • Prompts are grouped by meaningful subtopics
  • No time-sensitive information (laws, tools, versions)
  • Consistent HR terminology throughout
  • Prompts use [placeholders] for variable inputs
  • Each subtopic has 4-7 focused prompts
  • Tips section provides actionable professional guidance

Frontmatter

  • name matches the skill directory name exactly
  • description is wrapped in a single pair of double quotes, with trigger phrases as plain comma-separated text (not individually quoted)
  • metadata.author is set to Tuan Duc Tran
  • metadata.version is set

Structure

  • ## Supported tasks lists 8-12 concrete tasks
  • ## Key prompts is divided into logical subtopic sections
  • ## Tips has 4-6 professional best-practice tips

Supported tasks

  • Explain repository conventions, workflows, and directory structure
  • Validate skill packages against repository standards
  • Scaffold new skills following repository conventions
  • Review and improve SKILL.md
  • Review and improve content/, prompts/, and examples/
  • Validate frontmatter and naming conventions
  • Verify directory structure and file organization
  • Detect duplicated content across files
  • Validate Markdown formatting and repository rules
  • Verify internal relative links
  • Generate contributor guidance
  • Produce release and pre-publish checklists
  • Generate Conventional Commit messages
  • Recommend CI commands using Bun and Turbo
  • Keep repository documentation synchronized with repository changes

Key prompts

Repository management

  • "Explain the repository structure and file responsibilities."
  • "Describe the workflow for creating a new HR skill."
  • "Summarize the repository conventions contributors should follow."
  • "List the validation commands required before opening a pull request."
  • "Explain the differences between SKILL.md, content/, prompts/, and examples/."

Skill validation

  • "Review this skill package against repository standards."
  • "Validate this SKILL.md and list every issue."
  • "Check whether this skill follows naming conventions."
  • "Identify duplicated content across all supporting documents."
  • "Validate Markdown formatting and internal links."

Skill scaffolding

  • "Scaffold a complete HR skill package."
  • "Generate a new SKILL.md following repository conventions."
  • "Create a matching content/, prompts/, and examples/ structure."
  • "Generate missing supporting documents for an existing skill."
  • "Create repository-compliant frontmatter."

Content and prompt management

  • "Review this reference document for completeness."
  • "Generate a reusable prompt library for this HR topic."
  • "Organize these prompts into logical categories."
  • "Remove duplicated prompts already summarized in SKILL.md."
  • "Recommend where content should belong within the skill package."

Contributor assistance

  • "Generate a Conventional Commit message."
  • "Create a pull request checklist."
  • "Generate a GitHub Actions workflow for repository validation."
  • "Explain how to add a new skill from start to finish."
  • "Review this pull request for repository consistency."

Tips

  • Always include a SKILL.md in every skill package.
  • Keep SKILL.md concise and focused on activation, tasks, prompts, and guidance.
  • Store conceptual documentation in content/.
  • Store reusable prompt collections in prompts/.
  • Store realistic business workflows in examples/.
  • Avoid duplicating information across supporting documents.
  • Name directories and files using kebab-case.
  • Files inside content/ should omit the hr- prefix (for example, skills/hr-kpi/content/kpi.md).
  • Organize prompt libraries around a single HR topic.
  • Validate Markdown formatting, naming conventions, and internal links before committing.

Best practices

  • Keep each document focused on a single responsibility.
  • Prefer reusable HR knowledge over organization-specific content.
  • Use descriptive headings instead of long paragraphs.
  • Cross-reference related documents rather than duplicating information.
  • Keep prompt libraries easy to browse and maintain.
  • Use realistic HR scenarios in workflow examples.
  • Keep repository documentation synchronized whenever a skill changes.

Common mistakes

  • Putting long conceptual documentation inside SKILL.md.
  • Duplicating prompts between SKILL.md and prompts/.
  • Mixing multiple unrelated topics in one prompt library.
  • Using inconsistent skill or directory names.
  • Naming content/ files with the hr- prefix.
  • Forgetting to update internal links after renaming files.
  • Creating examples without realistic business context.
  • Allowing supporting documents to become inconsistent with SKILL.md.

Naming conventions

ItemConvention
Skill directoryskills/hr-kebab-case/
name fieldMatches the directory name
Content fileSkill name without the hr- prefix
Prompt fileDescriptive kebab-case topic
Example fileScenario-based kebab-case filename
Markdown headingsFollow sequential heading levels
Internal linksAlways use relative paths

Frequently asked questions

What does the Hr Skills Maintaining AI skill do?

Repository-level skill describing metadata, directory structure, workflows, and conventions for the hr-skills monorepo. Use this skill when validating, creating, editing, or maintaining HR skill packages, including SKILL.md, content/, prompts/, and examples/.

Why use Hr Skills Maintaining on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tuanductran/hr-skills/tree/main/.agents/skills/hr-skills-maintaining. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hr Skills Maintaining?

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 Skills Maintaining?

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

Is the Hr Skills Maintaining 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇