lean-canvas

Structure a product or business-model hypothesis across Lean Canvas problem, solution, unique value proposition, unfair advantage, customer segments…

Skill by ThorStarlord

IndexedMIT

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Structure a product or business-model hypothesis across Lean Canvas problem, solution, unique value proposition, unfair advantage, customer segments, channels, revenue, costs, and key metrics while preserving evidence status and critical assumptions. Use for product_strategy responsibility and produce business_canvas. Do not invent TAM, willingness to pay, unit economics, acquisition costs, moats, or validation evidence.

Use cases: design

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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codeload.github.com · found in install command

Files it touches

~/.claude/skills/lean-canvas

What's inside

Skill name: lean-canvas
Description: Structure a product or business-model hypothesis across Lean Canvas problem, solution, unique value proposition, unfair advantage, customer segments, channels, revenue, costs, and key metrics while preserving evidence status and critical assumptions. Use for product_strategy responsibility and produce business_canvas. Do not invent TAM, willingness to pay, unit economics, acquisition costs, moats, or validation evidence.
License: MIT
Instructions: 32 lines in SKILL.md · view on GitHub

Files (2)

SKILL.md
contract.md · references/

SKILL.md (first lines)

# Lean Canvas

Satisfy a `product_strategy` responsibility by producing `business_canvas`.

## Inputs

Require a product idea/direction, target audience, and problem. Prefer discovery, market, pricing, and operational evidence when available.

## Procedure

1. Read [references/contract.md](references/contract.md).
2. Fill the nine Lean Canvas blocks with concise hypotheses/evidence.
3. Preserve existing alternatives and early-adopter assumptions explicitly.
4. Treat UVP, unfair advantage, channels, revenue, costs, TAM/SAM/SOM, and unit economics according to their actual evidence strength.
5. Identify the smallest set of critical assumptions whose failure would invalidate the model.
6. Propose the lowest-cost sufficient evidence source for each critical assumption. When empirical work is material, apply `../using-sensemaking/references/experiment-economy-v1.md` before recommending an experiment.
7. Return `business_canvas` and control.

## Boundary

```text
critical assumption != experiment requirement
validation method != experiment warrant
canvas block != validated fact
unfair advantage hypothesis != moat
pricing hypothesis != willingness-to-pay evidence
TAM estimate != observed market capture
```

Lean Canvas owns assumption mapping, not experimentation responsibility.

From ThorStarlord/sensemaking-skills, MIT.

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Stars: 0
Forks: 0
Open issues: 7
Last commit (this folder): Sep 21, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/ThorStarlord/sensemaking-skills
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql

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Cite this page

lean-canvas skill. Agent Mart. https://agentmart.dev/skills/thorstarlord-lean-canvas (last updated 2026-10-24)