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Writing Job Descriptions

Community
cnfeat
writing-job-descriptions

Help users write effective job descriptions. Use when someone is creating a job posting, defining a new role, preparing to hire, or trying to attract the right candidates for an open position.

Overview

Publishercnfeat
Repositorytop-pm-skills
Skill namewriting-job-descriptions
Stars
55
Forks
6
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Writing Job Descriptions 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/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/writing-job-descriptions
  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.

Use it in TypingMind

Enable Writing Job Descriptions 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 Writing Job Descriptions 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 Writing Job Descriptions 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.

Writing Job Descriptions

Help the user write effective job descriptions using frameworks and insights from 6 product leaders.

How to Help

When the user asks for help with job descriptions:

  1. Define success first - Ask what success looks like 12 months after the hire, not what tasks they'll do
  2. Identify the spike - Determine the one or two areas where this person needs to excel (not everything)
  3. Write for progress - Frame the role around the progress to be made, not a list of arbitrary tasks
  4. Consider the signal - Discuss whether the language attracts or repels the right candidates

Core Principles

Start with 12-month success

Jonathan Lowenhar: "Start with, it's 12 months later, you hired the person, 12 months have gone by, you're clinking champagne because of how great it's been. What's changed about the business?" Define success by business impact after one year, not a list of responsibilities.

Job descriptions are made up

Bob Moesta: "Job descriptions are made up. They're literally just made up - a list of stuff the manager wants plus stuff they don't want to do." Focus on the 'progress' the role enables rather than arbitrary feature requirements.

Identify where they should spike

Lauren Ipsen: "Trying to determine where this person should major and minor, where they should spike. Is this someone that's going to lean into design efforts or operate like a very senior PM?" Define specific competencies required rather than seeking a generalist who does everything.

Frame requirements as outcomes

Bob Moesta: "Don't tell me I need Excel, PowerPoint, and Word skills. Tell me what I'm going to do with those. Tell me you're going to need to build PowerPoints for executive alignment." Replace 'X years of experience' with specific capabilities that time is supposed to represent.

Iterate based on candidates

Jason Shah: "Taking a product mindset where I meet people and don't know exactly what role they're going to fill. A product mindset on hiring and iterating on it based on the candidates you're meeting." Treat job descriptions as iterative documents that evolve with market reality.

Use polarizing language intentionally

Anton Osika: "Long hours, high pace, candidates must thrive under high urgency. Those seeking comfortable work need not apply." High-signal, polarizing language filters for candidates who thrive in specific environments.

Codify emerging roles

Peter Deng: "I asked her to write up a job description of what this thing is. There's something magical here. The role was model designer." Ask high-performing individuals to write their own ideal job description to identify new functional needs.

Questions to Help Users

  • "If this hire is wildly successful, what will be different about the business in 12 months?"
  • "What is the one thing this person absolutely must be great at?"
  • "What are you describing as requirements that are actually just proxies for something else?"
  • "Who do you want to attract with this language, and who do you want to filter out?"
  • "Is this role solving a specific problem, or is it a collection of tasks no one wants?"
  • "What would 'making progress' look like for this person in their first 6 months?"

Common Mistakes to Flag

  • Lists of tasks instead of outcomes - Focus on what will be different because of this hire, not what they'll do daily
  • Requiring generalists - Identify specific spikes; trying to find someone good at everything finds no one
  • 'Years of experience' as a proxy - This tells candidates nothing about what they'll actually need to do
  • Static descriptions - Iterate on the role definition after meeting candidates and understanding the market
  • Bland language - Generic job postings attract generic candidates; be specific and even polarizing

Deep Dive

For all 9 insights from 6 guests, see references/guest-insights.md

Related Skills

  • Conducting Interviews
  • Evaluating Candidates
  • Onboarding New Hires
  • Building Team Culture

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 Writing Job Descriptions AI skill do?

Help users write effective job descriptions. Use when someone is creating a job posting, defining a new role, preparing to hire, or trying to attract the right candidates for an open position.

Why use Writing Job Descriptions on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cnfeat/top-pm-skills/tree/main/参考skill/lenny-skills-main%20(2)/lenny-skills-main/skills/writing-job-descriptions. 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 Writing Job Descriptions?

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 Writing Job Descriptions?

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

Is the Writing Job Descriptions AI skill free?

Yes. It is published on GitHub by cnfeat 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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