writing-job-descriptions

refoundai/lenny-skills · updated Apr 8, 2026

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$npx skills add https://github.com/refoundai/lenny-skills --skill writing-job-descriptions
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summary

Framework for writing job descriptions that attract the right candidates by defining business impact.

  • Start with 12-month success: define what changes in the business after the hire, not a list of daily tasks
  • Identify the spike: determine one or two areas where the candidate must excel, rather than seeking a generalist
  • Replace proxies with outcomes: frame requirements around specific capabilities and progress, not years of experience or tool lists
  • Use polarizing language intention
skill.md

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
how to use writing-job-descriptions

How to use writing-job-descriptions on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add writing-job-descriptions
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/refoundai/lenny-skills --skill writing-job-descriptions

The skills CLI fetches writing-job-descriptions from GitHub repository refoundai/lenny-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/writing-job-descriptions

Reload or restart Cursor to activate writing-job-descriptions. Access the skill through slash commands (e.g., /writing-job-descriptions) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.841 reviews
  • Shikha Mishra· Dec 28, 2024

    writing-job-descriptions reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Advait Martinez· Dec 20, 2024

    writing-job-descriptions is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Naina Thomas· Dec 16, 2024

    writing-job-descriptions has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Advait Robinson· Dec 16, 2024

    writing-job-descriptions reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Naina Anderson· Dec 12, 2024

    Solid pick for teams standardizing on skills: writing-job-descriptions is focused, and the summary matches what you get after install.

  • Yash Thakker· Nov 19, 2024

    I recommend writing-job-descriptions for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yusuf Gill· Nov 11, 2024

    writing-job-descriptions fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Meera Martinez· Nov 7, 2024

    I recommend writing-job-descriptions for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Mia Anderson· Oct 26, 2024

    Useful defaults in writing-job-descriptions — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Dhruvi Jain· Oct 10, 2024

    Useful defaults in writing-job-descriptions — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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