job-stories

phuryn/pm-skills · updated Apr 8, 2026

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$npx skills add https://github.com/phuryn/pm-skills --skill job-stories
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summary

Create job stories using the 'When [situation], I want to [motivation], so I can [outcome]' format. Generates stories with detailed acceptance criteria focused on user situations and outcomes.

skill.md

Job Stories

Create job stories using the 'When [situation], I want to [motivation], so I can [outcome]' format. Generates stories with detailed acceptance criteria focused on user situations and outcomes.

Use when: Writing job stories, expressing user situations and motivations, creating JTBD-style backlog items, or focusing on user context rather than roles.

Arguments:

  • $PRODUCT: The product or system name
  • $FEATURE: The new feature to break into job stories
  • $DESIGN: Link to design files (Figma, Miro, etc.)
  • $CONTEXT: User situations or job scenarios

Step-by-Step Process

  1. Identify user situations that trigger the need
  2. Define motivations underlying the user's behavior
  3. Clarify outcomes the user wants to achieve
  4. Apply JTBD framework: Focus on the job, not the role
  5. Create acceptance criteria that validate the outcome is achieved
  6. Use observable, measurable language
  7. Link to design mockups or prototypes
  8. Output job stories with detailed acceptance criteria

Story Template

Title: [Job outcome or result]

Description: When [situation], I want to [motivation], so I can [outcome].

Design: [Link to design files]

Acceptance Criteria:

  1. [Situation is properly recognized]
  2. [System enables the desired motivation]
  3. [Progress or feedback is visible]
  4. [Outcome is achieved efficiently]
  5. [Edge cases are handled gracefully]
  6. [Integration and notifications work]

Example Job Story

Title: Track Weekly Snack Spending

Description: When I'm preparing my weekly allowance for snacks (situation), I want to quickly see how much I've spent so far (motivation), so I can make sure I don't run out of money before the weekend (outcome).

Design: [Figma link]

Acceptance Criteria:

  1. Display Spending Summary with 'Weekly Spending Overview' section
  2. Real-Time Update when expense logged
  3. Progress Indicator (progress bar showing 0-100% of weekly budget)
  4. Remaining Budget Highlight in prominent color
  5. Detailed Spending Log with breakdown by category
  6. Notifications at 80% budget threshold
  7. Weekend-Specific Reminder at 90% by Thursday evening
  8. Easy Access and Navigation to detailed breakdown

Output Deliverables

  • Complete set of job stories for the feature
  • Each story follows the 'When...I want...so I can' format
  • 6-8 acceptance criteria focused on outcomes
  • Stories emphasize user situations and motivations
  • Clear links to design and prototypes

Further Reading

how to use job-stories

How to use job-stories 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 job-stories
2

Execute installation command

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

$npx skills add https://github.com/phuryn/pm-skills --skill job-stories

The skills CLI fetches job-stories from GitHub repository phuryn/pm-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/job-stories

Reload or restart Cursor to activate job-stories. Access the skill through slash commands (e.g., /job-stories) 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

4.541 reviews
  • Ganesh Mohane· Dec 28, 2024

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

  • Soo Okafor· Dec 20, 2024

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

  • Aditi Taylor· Dec 16, 2024

    Registry listing for job-stories matched our evaluation — installs cleanly and behaves as described in the markdown.

  • William Anderson· Dec 8, 2024

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

  • Kaira Reddy· Nov 27, 2024

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

  • Sakshi Patil· Nov 19, 2024

    We added job-stories from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Yash Thakker· Nov 15, 2024

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

  • Kaira Rao· Nov 7, 2024

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

  • Ama Bansal· Oct 26, 2024

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

  • Sophia Khan· Oct 18, 2024

    Registry listing for job-stories matched our evaluation — installs cleanly and behaves as described in the markdown.

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