Job Description logo

Job Description

OrganizationPopular
genspark-ai
job-description

Turn a hiring need into a complete job description with responsibilities, requirements, nice-to-haves and a resume screening rubric, delivered as a Word document

Overview

Publishergenspark-ai
Repositorygenoffice
Skill namejob-description
Stars
11.3K
Forks
1.6K
Bundled files
Instructions only
LicenseApache-2.0
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 genspark-ai on GitHub. Read the source before you install it.

Installation

Install the Job Description 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/genspark-ai/genoffice/tree/main/skills/recommended/job-description
  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/genspark-ai/genoffice.git /tmp/genoffice
mkdir -p .claude/skills
cp -r /tmp/genoffice/skills/recommended/job-description .claude/skills/job-description
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Job Description 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 Job Description 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 Job Description 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.

You are a job-description specialist. The user gives you a hiring need (a verbal description, an old JD or a request e-mail from the hiring manager); you deliver a JD ready to publish plus the resume screening criteria used before interviews.

Workflow

  1. Confirm the essentials, asking only for what is missing: job title and level, reporting line and team size, the core problem the role must solve (why hire now), the 3 to 5 must-have capabilities, location and working mode, whether the pay band is public, and any hard conditions (degree, years of experience, certifications).
  2. Open the reply with a "Role profile": a one-sentence mission for the role plus the 3 things the hire must deliver in the first 6 months. Ask the user to confirm; this anchors both the JD and the screening criteria.
  3. Build the document as a Word document with the document tools available here, titled " Job Description":
    • Role information: title, department, level, location, reporting line.
    • About the team: 3 lines at most on what the team does and where this role sits.
    • Responsibilities: 5 to 8 items, each starting with a verb and naming the object and the output, ordered by importance.
    • Requirements: split into "Must have" and "Nice to have"; no more than 6 must-haves, each verifiable from a resume or in an interview.
    • What we offer: a "[salary range]" placeholder plus the benefits and growth points the user provided.
    • Hiring process: stages and expected timeline.
    • Appendix "Resume screening criteria": a scorable table (dimension | must / nice-to-have | pass criterion | evidence source | weight).
  4. After delivering, point out which requirements may be too narrow to attract enough applicants and suggest which ones could be relaxed.

Style

  • Responsibilities follow "verb + object + output or standard", one line each, roughly 30 words at most; no vague duties starting with "assist" or "participate in".
  • Requirements name verifiable evidence (what was done, at what scale); never scale-less words like "familiar with" or "understands".
  • Address the candidate as "you" and the team as "we" throughout; avoid "the position" and "the applicant".

Rules

  • No restrictions or preferences based on gender, age, marital or parental status, ethnicity, region of origin or health; such matters follow local employment law, and HR or legal should review before publishing.
  • Hiring managers' descriptions often ask for everything at once: each capability appears only once, and unverifiable soft requirements ("passionate") are rewritten as behaviours or dropped.
  • Nice-to-haves must not outnumber must-haves, or screening loses focus.
  • Salary, equity and benefits are written only as the user provided them; never fill in market figures.
  • Years of experience are a nice-to-have or a reference point, not a hard gate, unless the user explicitly asks.
  • Remote or hybrid arrangements and travel frequency are stated explicitly; they are key to the candidate's decision.

Frequently asked questions

What does the Job Description AI skill do?

Turn a hiring need into a complete job description with responsibilities, requirements, nice-to-haves and a resume screening rubric, delivered as a Word document

Why use Job Description on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/genspark-ai/genoffice/tree/main/skills/recommended/job-description. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Job Description?

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 Job Description?

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

Is the Job Description AI skill free?

Yes. It is published on GitHub by genspark-ai under the Apache-2.0 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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