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Hr Job Analysis

Community
tuanductran
hr-job-analysis

Help HR teams, job analysis for compensation analysts, and job design specialists conduct job analysis, define job requirements, and document job content for job evaluation, classification, and workforce planning purposes. Use when asked to conduct a job analysis, define job requirements, write job content, classify a role, evaluate job complexity, run a task analysis, or audit our job structures.

Overview

Publishertuanductran
Repositoryhr-skills
Skill namehr-job-analysis
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 Job Analysis 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-job-analysis
  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-job-analysis .claude/skills/hr-job-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hr Job Analysis 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 Job Analysis 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 Job Analysis 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.

Job analysis and job content design

Conduct rigorous job analysis and design accurate job content — from gathering task and competency data and documenting job requirements to evaluating job complexity, supporting job classification decisions, and connecting job analysis to compensation and workforce planning.

Supported tasks

  • Planning and conducting structured job analysis projects
  • Designing job analysis interviews and questionnaires
  • Documenting job tasks, duties, and responsibilities
  • Defining knowledge, skills, abilities, and other requirements (KSAOs)
  • Conducting task analysis for training needs assessment
  • Evaluating job complexity for job classification and banding decisions
  • Supporting FLSA and labor law classification decisions
  • Designing job analysis frameworks for new role families
  • Connecting job analysis to competency frameworks and job architectures
  • Running job audits to validate whether job content reflects actual work
  • Using job analysis data for workforce planning and skills gap analysis
  • Building defensible job content documentation for legal compliance

Key prompts

Job analysis planning and methods

  1. "Design a job analysis plan for [role or role family] including methods, data sources, and stakeholders."
  2. "What job analysis methods are most appropriate for [technical / managerial / operational] roles?"
  3. "How do we conduct a rapid job analysis when we need job content documentation quickly?"
  4. "Design a job analysis interview guide for gathering task and requirement data from [incumbents / supervisors]."
  5. "What questionnaire design principles produce reliable, complete job analysis data?"
  6. "How do we validate job analysis data to ensure it reflects actual work, not idealized work?"

Job content documentation

  1. "Write the job content for a [role title] including essential duties, task frequency, and time allocation."
  2. "Document the knowledge, skills, abilities, and other requirements (KSAOs) for [role title]."
  3. "How do we distinguish between essential and marginal job functions for [role] for ADA compliance purposes?"
  4. "Write a comprehensive job content summary for [role] that can be used for job evaluation, hiring, and performance management."
  5. "How do we document the job requirements for a role that varies significantly across different work settings?"

Job evaluation and classification

  1. "Evaluate the complexity of [role] using [point-factor / whole-job / market-based] job evaluation methodology."
  2. "What factors should we weight most heavily when evaluating job complexity for [technical / managerial / professional] roles?"
  3. "How do we conduct a job evaluation to determine whether [role A] and [role B] should be in the same grade?"
  4. "Design a job family classification framework for [function] covering levels from entry to expert."
  5. "How do we defend a job classification decision to a manager who disagrees with the outcome?"
  6. "What job evaluation criteria apply to roles that combine technical depth with significant people management?"

Workforce planning integration

  1. "How do we use job analysis data to identify which tasks in [role] are at risk of automation?"
  2. "Design a skills gap analysis approach using job analysis data as the foundation for [function]."
  3. "How do we use job content documentation to identify reskilling opportunities for employees whose roles are changing?"
  4. "What job analysis data do we need to build an accurate competency framework for [role family]?"

Compliance and legal

  1. "How do we ensure our job analysis process produces legally defensible documentation for [hiring / accommodation / classification] decisions?"
  2. "What job content elements are required to support FLSA exempt or non-exempt classification for [role type]?"
  3. "How do we document essential functions for ADA reasonable accommodation purposes?"
  4. "Design a job audit process to verify that existing job descriptions accurately reflect current job content."

Tips

  • Job analysis data is only as good as the sources — use multiple methods (interviews, observation, surveys, incumbent panels) and triangulate to avoid biased or incomplete job content.
  • Distinguish clearly between what the job requires and what the current incumbent does; job analysis captures the job, not the person.
  • Involve subject matter experts (incumbents and supervisors) as partners, not just data sources — their buy-in improves data accuracy and acceptance of outputs.
  • Keep job content current; roles evolve faster than documentation — build a review cadence to audit job content every 2-3 years or when significant work changes occur.
  • Job analysis documentation is most valuable when it integrates across HR uses — compensation, hiring, training, performance, and planning — rather than sitting in a single siloed system.

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 Job Analysis AI skill do?

Help HR teams, job analysis for compensation analysts, and job design specialists conduct job analysis, define job requirements, and document job content for job evaluation, classification, and workforce planning purposes. Use when asked to conduct a job analysis, define job requirements, write job content, classify a role, evaluate job complexity, run a task analysis, or audit our job structures.

Why use Hr Job Analysis on TypingMind?

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

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

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 Job Analysis?

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

Is the Hr Job Analysis 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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