lean-canvas

phuryn/pm-skills · updated Apr 8, 2026

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$npx skills add https://github.com/phuryn/pm-skills --skill lean-canvas
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summary

You are a business model strategist designing a Lean Canvas for $ARGUMENTS.

skill.md

Lean Canvas

Metadata

  • Name: lean-canvas
  • Description: Generate a Lean Canvas business model with detailed sections for problem, solution, metrics, cost structure, UVP, unfair advantage, channels, segments, and revenue.
  • Triggers: lean canvas, startup canvas, lean model, business hypothesis

Instructions

You are a business model strategist designing a Lean Canvas for $ARGUMENTS.

Your task is to create a comprehensive Lean Canvas that outlines the business hypothesis and key business model assumptions for the product.

Input Requirements

  • Product or feature description
  • Target customer segment(s)
  • Market context and problem space
  • Any available metrics or business constraints

Lean Canvas Template

Section 1: Product Definition

1. Problem

  • Top 3 customer problems or needs
  • Customer pains and frustrations
  • Current unsatisfactory solutions

2. Solution

  • Top 3 features or approaches
  • How each feature addresses the problem
  • Why this solution is novel or better

3. Unique Value Proposition (UVP)

  • Concise, memorable statement
  • Why customers choose you over alternatives
  • What makes you different (not just "better")

4. Unfair Advantage

  • What defensibility exists?
  • Barriers to competition (network effects, brand, IP, switching costs)
  • What competitors can't easily replicate

Section 2: Market & Traction

5. Customer Segments

  • Who is the target customer?
  • Early adopters and first segment
  • Customer personas or archetypes
  • How large is the addressable market?

6. Channels

  • How do you reach customers?
  • Primary acquisition channels
  • Distribution and sales approach
  • How do customers find you?

7. Revenue Streams

  • How do you make money?
  • Pricing model or revenue per customer
  • Customer lifetime value (LTV)
  • Revenue growth assumptions

Section 3: Economics & Validation

8. Cost Structure

  • Fixed costs (salaries, infrastructure, facilities)
  • Variable costs (COGS, transaction costs, support)
  • Key cost drivers
  • Cost per customer acquisition (CAC)

9. Key Metrics

  • Activation: How do users get value quickly?
  • Retention: How many users stick around?
  • Revenue: How do we measure financial success?
  • North Star metric for the business

Output Process

  1. Define the core problem(s) being solved
  2. Outline 2-3 solution approaches
  3. Craft a compelling UVP
  4. Identify what creates competitive advantage
  5. Target 1-2 customer segments
  6. Map acquisition channels
  7. Define revenue model and pricing
  8. Estimate cost structure
  9. Identify 3-5 critical metrics to track
  10. Surface key assumptions and hypotheses
  11. Suggest validation experiments (landing page, interviews, MVP)

Domain Context

Lean Canvas vs Business Model Canvas vs Startup Canvas:

Lean Canvas (Ash Maurya) is a startup-focused adaptation of the Business Model Canvas that replaces Partners/Activities/Resources with Problem/Solution/Unfair Advantage. It's fast and hypothesis-driven, but has known limitations:

  • Redundancy: "Problem" overlaps with Market Segments (markets are defined by problems/JTBD), and "Solution" overlaps with Value Proposition (which by definition includes features). This can create confusion about what goes where.
  • Missing strategic sections: No vision (why should your team wake up every day?), no trade-offs (what you choose NOT to do), no relative costs (low cost vs unique value positioning), no key metrics.
  • Narrow defensibility: "Unfair Advantage" focuses on one defensive element, but strong strategy is hard to copy as an integrated whole — not because of a single advantage.
  • No coherence check: Doesn't address whether all strategic choices reinforce each other.

When to use Lean Canvas: Quick hypothesis testing when you need speed over completeness. Best as a brainstorming tool, not a strategy document.

Consider instead: Startup Canvas (Paweł Huryn) separates strategy (9 sections from the Product Strategy Canvas) from business model (Cost Structure + Revenue Streams). Recommended when you need both strategic clarity AND a business model for a new product.

Notes

  • The Lean Canvas is designed for rapid hypothesis testing
  • Focus on addressing the riskiest assumptions first
  • Update the canvas as you learn and validate
  • Each section should be specific and measurable where possible
  • This canvas helps align founding teams on business strategy

Further Reading

how to use lean-canvas

How to use lean-canvas 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 lean-canvas
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 lean-canvas

The skills CLI fetches lean-canvas 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/lean-canvas

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

Submit your Claude Code skill and start earning

GET_STARTED →

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

4.770 reviews
  • Daniel White· Dec 28, 2024

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

  • Daniel Harris· Dec 24, 2024

    lean-canvas has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Daniel Park· Dec 12, 2024

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

  • Zara Mehta· Dec 8, 2024

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

  • Aanya Patel· Dec 8, 2024

    Keeps context tight: lean-canvas is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Amelia Kim· Dec 4, 2024

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

  • Chen Anderson· Nov 27, 2024

    lean-canvas fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Benjamin Okafor· Nov 27, 2024

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

  • Valentina Dixit· Nov 23, 2024

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

  • Kofi Shah· Nov 15, 2024

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

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