Lean Canvas
Generates a full Lean Canvas with all nine sections: problem, solution, UVP, unfair advantage, customer segments, channels, revenue streams, cost structure, and key metrics. Built for quick hypothesis testing when you're modeling a new venture or validating a product idea. The skill itself acknowledges Lean Canvas has known limitations like redundant sections and missing strategic elements, and suggests considering Startup Canvas when you need both strategy and business model clarity. Best used as a brainstorming tool to align teams and surface risky assumptions fast, not as your complete strategic playbook.
- skills.sh installs
- 3K
- GitHub stars
- 27.8K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add phuryn/pm-skills --skill lean-canvas --agent claude-codeInstalls into .claude/skills of the current project.
Files
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")
Sponsors
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- Repository
- github.com/phuryn/pm-skills
- Categories
- Testing & QA, Data Science & ML, Sales & Marketing
- First seen
- May 16, 2026
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