EN
Language · same page NLNederlands/ai-en-automatisatie/ai-lean-canvas-strateeg-skill-voor-claude/ ENEnglish (UK)/en/ai-and-automation/ai-lean-canvas-strategy-skill-for-claude/ ESEspañolnot translated yet We do not remember your choice and never redirect you automatically.
~/skills/ai-lean-canvas-strategist[ok] loaded
INS.SKILL · FREE FOR CLAUDE, AND FOR CODEX AND CURSOR TOO

The AI Lean Canvas Strategist skill for Claude

You describe your business idea, product or pivot in your own words and you get a complete Lean Canvas back: Ash Maurya's nine blocks on one page, with a concrete first draft for each block. No forty page business plan, but a filled in canvas plus the three riskiest assumptions you need to validate first, each with a one to two week experiment attached. Whatever the skill cannot pull from your input gets an ASSUMPTION label instead of a nice story.

Download the skill View all skills NL 3.6 KB · zip with SKILL.md · MIT licence · no account needed
$ installation, line by lineFIG.00
~/.claude/skills
theseo ~ %
  inflating: ai-lean-canvas-strateeg/SKILL.md
theseo ~ %
  ---
  name: ai-lean-canvas-strateeg
  description: "Past het Lean Canvas framework van Ash Maurya toe op elk…
theseo ~ %
[ok] skill active · 1,168 words of instruction loaded

the lines above come from the zip on this page · SKILL.md is 7,309 bytes

~/skills/ai-lean-canvas-strategist/01-demonstration[run]
Section 01 · The demonstration

Idea in, canvas out

reg. L.001

This is the example that appears in the SKILL.md itself, shown here in shortened form: a founder with an AI tool for recruiters and two paying customers. A single sentence of input. Notice what happens with uncertainty: whatever the founder has not proven does not get smoothed over but labelled, and the three most dangerous assumptions each get an experiment with a one to two week timeframe.

FIG.01: From one sentence to nine blocks[#----] sheet 1/5
~/canvas · claude + ai-lean-canvas-strategist
you > make a lean canvas for my idea
input.txtthe example from the SKILL.md I am building an AI tool that writes LinkedIn messages for recruiters. I have 2 paying customers and want to scale.
claude · filling in nine blocks in the fixed order...
[1/9]customer segments · recruiters at SME agencies of 5 to 50 fte, early adopter: the solo recruiter who sends 50+ DMs a week
[2/9]problem · three problems in the customer's own words, with the existing alternatives alongside them: Phantombuster gives raw data, no finished message
[3/9]uvp · send 50 LinkedIn DMs in 2 minutes with a personal hook, with no template feel · tested against the 5 second rule
[4/9]solution · three features, each linked to a problem number, deliberately kept minimal
[5/9]channels and revenue · concrete channel plus the assumption behind it, revenue model with a price indication
[6/9]costs and key metrics · fixed and variable costs, one north star metric plus three leading indicators
[7/9]unfair advantage · honest answer: not yet present, so ASSUMPTION
assumptions.mdshortened, the full example is in the skill 1 · problem: solo recruiters are willing to pay €99 a month. Experiment: price A/B test on the landing page, 100 visitors per variant. 2 · solution: personal hooks get 3x higher response than templates. Experiment: pilot with 5 paying customers with response tracking. 3 · growth: LinkedIn outbound scales without getting banned. Experiment: 2 week volume test on tiered accounts.
[#########] 9/9 done · one page, assumptions visible instead of hidden
9L.01 · blocks in the canvas
3L.02 · riskiest assumptions, always with a test
5L.03 · input questions up front
0L.04 · euros, MIT licence, no account
L.01 to L.04 · properties of the skill file, not results or usage figures.
$ cat 01-wat-de-skill-is.md
DOC.01

What the AI Lean Canvas Strategist is

The AI Lean Canvas Strategist is a free skill from the library of 100 skills we make available on this site. A skill is an instruction file, SKILL.md, that gives an AI assistant a fixed way of working for one task: what is inside such a file NL and why it works is covered in its own explanation. This one runs to 1,114 words and turns Claude into a strategic sparring partner that applies Ash Maurya's Lean Canvas: every business idea, every product line and every pivot worked out into nine fixed blocks on one page, plus the three riskiest assumptions you need to validate first.

You download the zip at the top of this page, put it in your Claude environment, and from that moment Claude builds canvases using this logic.

The problem the skill solves is old and stubborn. Anyone with an idea wants to build, and anyone who has to plan writes a business plan nobody reads. Both routes hide the same question: which assumption breaks this idea if it turns out to be wrong? That is exactly what the Lean Canvas was made for. It forces you to put problem, customer, proposition and revenue model side by side on one page, so the weak spots become visible before you put months of work into it. Our strategist adds the discipline that the canvas often misses in practice: assumptions are explicitly labelled with an ASSUMPTION prefix, and the three most dangerous ones each get a concrete experiment.

This skill is written for entrepreneurs who have just had an idea, want to pivot, are launching a new product line or preparing an investor pitch, and for anyone who feels their business model is not quite right yet. For that pitch, incidentally, the canvas stops at the content: if the nine blocks hold up, you have your story, and the Pitch Deck Builder NL turns that story into eight slides, each with a core line and the counter question next to it. It is part of the skill library NL we offer for free through the AI and automation service, with no account and no sales email afterwards.

One thing you should know beforehand: the tone is deliberately not nice. The style rules in the file dictate that the skill is bluntly honest about weak blocks, not diplomatic. An unfair advantage you do not have does not get dressed up, it gets written down as what it is: an assumption you still have to prove.

$ cat 02-waarom-geen-businessplan.md
DOC.02

Why one page says more than forty

The reason the Lean Canvas exists is that the classic business plan can become a form of procrastination. Forty pages of market analysis feel like work, but rarely answer the question the idea actually stands or falls on. The closing lines of the file put it bluntly: no full business plan, no forty page deck. It is one page, by definition, structured, and meant to expose assumptions instead of hiding them behind nice language.

Assumptions hide in prose. In a flowing story, the sentence that recruiters are happy to pay €99 a month reads like a fact. On a canvas, in a block with an ASSUMPTION label in front of it, it suddenly becomes what it actually is: a guess you can test for a hundred euros of ad budget before you spend a year building. The form does the work here. What sits short and side by side, you can question; what is written out, you believe.

The order does the rest. It fills in the canvas in a fixed order, and that does not start with your solution but with the segment and the problem. Anyone who first has to write down three problems in the customer's own words, alongside the existing alternatives, sometimes discovers that the real alternative is doing nothing, and that is a different conversation from a competitor comparison. Only after that is the solution allowed onto the canvas, with each feature referencing the problem number it addresses. A feature with no problem number is a hobby.

In diff form: how the same information changes as it moves from business plan prose to canvas discipline.

That is the whole philosophy of the method in three red lines and three green lines: the same business, but you can test the second version while you can only believe the first.

~/skills/ai-lean-canvas-strategist/02-anatomy[ok]
Section 02 · The anatomy

Nine blocks, fixed order

reg. L.002

This is what the canvas looks like as it fills it in, in filling order (the numbers in the corners). Four blocks carry a marker: those are the blocks Maurya used to remodel the Business Model Canvas in 2010. He replaced Key Partners, Key Activities, Customer Relationships and Key Resources with Problem, Solution, Key Metrics and Unfair Advantage, because those are more relevant for a startup working under uncertainty.

FIG.02: The canvas, with the four replaced blocks marked[##---] sheet 2/5
02NEW COMPARED TO BMCProblemTop 3 problems of the segment, plus the existing alternatives: competitor, Excel or doing nothing. In the customer's own words, no jargon.
04NEW COMPARED TO BMCSolutionTop 3 features that directly address the problem, each linked to a problem number. Kept minimal: this is not a feature list.
03Unique Value PropositionOne sentence: for whom, which pain point, which result. Plus a high concept as a hook, tested against the 5 second rule.
09NEW COMPARED TO BMCUnfair AdvantageSomething that cannot be bought or copied: insider knowledge, authority, exclusive data, community. Often you do not have it yet: then ASSUMPTION.
01Customer SegmentsWho has the problem the worst. Split into early adopters, the painful 10 per cent, and mainstream. With a persona in two sentences.
08NEW COMPARED TO BMCKey MetricsOne north star metric and three leading indicators, for example from AARRR: acquisition, activation, retention, referral, revenue.
05ChannelsInbound versus outbound, matched to your stage. Concrete: not social media, but LinkedIn DMs to HR managers in construction. Which channel first, with which assumption.
06RevenueRevenue model: one off, subscription, transaction, freemium or hybrid. With an indication of price, volume and lifetime value.
07Cost StructureFixed costs such as hosting, salaries and tools, variable costs per customer or transaction, and an honest guess at the customer acquisition cost.
after 09The three riskiest assumptionsNot a block of the canvas but the skill's mandatory closing section: the biggest assumption about problem, solution and growth, each with a one to two week experiment.
filling order 01 segment → 02 problem → 03 uvp → 04 solution → 05 channels → 06 revenue → 07 costs → 08 metrics → 09 unfair advantage · marked = the four blocks Maurya used to replace the Business Model Canvas
$ less ai-lean-canvas-strateeg/SKILL.md # 1,114 words of instruction
DOC.03

What is really in the SKILL.md

A skill is only as good as its instructions, so here we simply describe them. The file opens with a frontmatter that decides when Claude picks up the skill: for direct requests such as make a Lean Canvas, business model on 1 page, what is my UVP, unfair advantage or which assumptions should I test, but also for broader situations: entrepreneurs who have just had an idea, want to pivot, are launching a new product line or preparing an investor pitch. Anyone who mentions Ash Maurya or Running Lean also gets the skill automatically.

Next comes the method. First five input questions: the idea in one paragraph, the problem and for whom, the stage you are in (idea, first customers, scaling or pivot), what you have already tested or learned, and the intended revenue model, even if you are not sure of it yet. Whatever you do not know gets that block filled with an ASSUMPTION label and marked as needing validation.

Then the nine blocks in the fixed order from the figure above, each with its own notes: the segment split into early adopters and mainstream, the problem with existing alternatives alongside it, the UVP tested against the 5 second rule, the solution linked to problem numbers, channels made concrete instead of vague, revenue and costs with a lifetime value indication and a guess at acquisition costs, key metrics with one north star, and an honest unfair advantage.

After the canvas comes the part that gives the skill its name: always a short list of the three riskiest assumptions, one about the problem (does this segment really feel it this badly), one about the solution (does this actually solve the problem) and one about growth (can this channel and revenue model scale). Each assumption comes with a concrete one to two week experiment: a round of interviews, a smoke test, a prototype or a fake door test.

The style rules are short but directive: write in the second person, a maximum of one page per canvas, bullets instead of long paragraphs, bluntly honest about weak blocks instead of diplomatic, and assumptions always with an explicit ASSUMPTION prefix. The file closes with a source list of four titles: Running Lean by Ash Maurya, Business Model Generation by Alexander Osterwalder, The Lean Startup by Eric Ries and The Four Steps to the Epiphany by Steve Blank. More on that below.

~/skills/ai-lean-canvas-strategist/03-experiments[ok]
Section 03 · The experiments

Three assumptions, three tests

reg. L.003

The canvas is the photo, the assumptions are the film. After every canvas the skill delivers the same fixed closing section: the biggest assumption about the problem, about the solution and about growth, each with a one to two week experiment. The three from the example in the SKILL.md, from the recruiter tool with two paying customers.

FIG.03: The experiment queue from the example[###--] sheet 3/5
experiments.queueduration per experiment: 1 to 2 weeks
ASSUMPTION 1 · THE PROBLEM Does this segment really feel it this badly? ASSUMPTION: solo recruiters are willing to pay €99 a month. Experiment: price A/B test on the landing page, 100 visitors per variant. Measure who clicks through at which amount.
ASSUMPTION 2 · THE SOLUTION Does this actually solve the problem? ASSUMPTION: personal hooks get 3x higher response than templates. Experiment: pilot with 5 paying customers with response tracking. The number decides, not the feeling.
ASSUMPTION 3 · THE GROWTH Can this channel and revenue model scale? ASSUMPTION: LinkedIn outbound scales without getting banned. Experiment: 2 week volume test on tiered accounts. Better to find out now than after the investment.
example values from the example in the SKILL.md · for your own idea, your own assumptions go here
$ cat 04-bronnen-en-theorie.md # Maurya, Osterwalder, Ries, Blank
DOC.04

The theory the skill rests on

In 2010 Ash Maurya developed the Lean Canvas and described it in Running Lean, which saw printings in 2010, 2012 and 2022. It is an adaptation of Alexander Osterwalder's Business Model Canvas from Business Model Generation, 2010. Maurya kept the one page form, but replaced four blocks that make sense for an established business and come too early for a startup: Key Partners, Key Activities, Customer Relationships and Key Resources made way for Problem, Solution, Key Metrics and Unfair Advantage. Anyone who wants to use the original, for an existing business with proven revenue for example, can turn to the Business Model Canvas Coach skill.

The engine underneath it comes from Eric Ries. The method is strongly inspired by The Lean Startup, from 2011, with the core idea that you test assumptions before you make large investments. In that way of thinking, the canvas is not a plan but a collection of hypotheses, and the build measure learn loop decides which hypothesis goes first. That is why the skill never stops at a filled in canvas: the three riskiest assumptions with their experiments are the bridge from paper to practice.

The customer conversation comes from Blank. Steve Blank described the customer development process in The Four Steps to the Epiphany, from 2005: get out of the building, talk to real customers, and only believe what gets confirmed outside the door. The experiments the skill proposes, from rounds of interviews to fake door tests, stand in that tradition. And because customer interviews have their own trap, people are polite and say what you want to hear, there is a separate Mom Test Coach skill for those conversations.

And two blocks deserve their own magnifying glass. The Unique Value Proposition is one line on the canvas, but a whole model sits behind it: anyone who wants to work out the proposition seriously, with a customer profile, value map and fit analysis, uses the Value Proposition Canvas skill NL. And the Key Metrics block refers to the AARRR framework; anyone who wants to measure their funnel from acquisition to revenue finds it worked out in the AARRR Pirate Metrics Coach skill.

Even without installing the skill you can improve your plan with these principles: put your idea on one page, write down for each block whether it is knowledge or hope, and think up a test for your biggest guess that costs less than a week of building.

~/skills/ai-lean-canvas-strategist/04-limits[ok]
Section 04 · The limits

What the skill refuses

reg. L.004

The SKILL.md sets itself limits, and those matter at least as much as what it does do. The form here is the discipline: one page, assumptions visible, no nice language over the top. In conversation those rules play out like this: each rule is a request you might make, with the response the skill gives according to its own instructions.

FIG.04: limits.log[####-] sheet 4/5
limits.logfixed rules from the SKILL.md
just work this up into a full business planREFUSEDNo full business plan. It says so literally in the file. The Lean Canvas is one page by definition, and it is exactly that constraint that makes visible the weak spots that disappear into forty pages.
turn this into a nice forty page deck for the investorREFUSEDNo forty page deck. The canvas is the content foundation for your pitch though: if the nine blocks hold up, you have your story. The design is a different craft.
leave out that ASSUMPTION label, it looks so uncertainREFUSEDAssumptions get marked, always. The style rules explicitly prescribe the ASSUMPTION prefix. The canvas is meant to expose assumptions, not hide them behind nice language.
be a bit more diplomatic about my unfair advantageREFUSEDBluntly honest about weak blocks, not diplomatic. That is what the style rules say. And the file is honest about the fact that this block is often empty: if you do not have it yet, you write ASSUMPTION and go and build it.
the canvas is done, so my business model is correctCORRECTEDA filled in canvas is not proof. It is a collection of hypotheses. That is why every session ends with the three riskiest assumptions and their experiments: the proof comes from the market, not from filling it in.
write it in long paragraphs, that reads more professionallyREFUSEDBullets, no long paragraphs. That too is a style rule from the file. You need to be able to scan a canvas in one glance, otherwise it is a business plan in disguise.
$ unzip ai-lean-canvas-strateeg-skill-voor-claude.zip -d ~/.claude/skills/
DOC.05

Installing in Claude Code, Claude.ai or Codex

The zip contains one folder with the SKILL.md inside it. Installing is a matter of putting the file in the right place, and that place differs per environment. SKILL.md has been an open standard since December 2025, so the same skill also works in Codex, Cursor and Gemini CLI. So you are not downloading a Claude file but a working instruction that any modern AI assistant can read. The full guide per environment is in installing Claude skills NL.

CLAUDE CODE
  1. Unzip it into ~/.claude/skills/ (or .claude/skills/ in your project).
  2. Claude then recognises the skill automatically as soon as you start talking about your business model or a new idea.
  3. Direct calling also works, with /ai-lean-canvas-strateeg.
CLAUDE.AI
  1. Go to Customize and then Skills.
  2. Upload the zip there as a skill.
  3. Or paste the contents of SKILL.md into the project instructions of a Project.
CODEX
  1. Open AGENTS.md in your repo.
  2. Paste the contents of SKILL.md into it, or put SKILL.md next to it as a separate file and refer to it from AGENTS.md.
  3. Codex reads that along at every session.

After that, using it is simple: describe your idea and ask for a canvas. First it asks its five input questions, and then it fills in the nine blocks in the fixed order. If you want to learn to write this kind of instruction file yourself for your own work, the structure of a good skill is explained in writing SKILL.md NL, and the wider foundation on working with AI is in the knowledge base.

$ cat 06-wanneer-wel-en-niet.md
DOC.06

When you do and do not use it

It works in every stage it names in its input questions: idea, first customers, scaling or pivot, and it adjusts its advice accordingly. With a bare idea, almost everything is an assumption and the emphasis lies on the problem block and the first interviews. With first customers, as in the example with two of them, the weight shifts towards channels, metrics and the question of whether the revenue model scales. With a pivot you revise the canvas instead of starting it over: you then see exactly which blocks still hold up and which assumptions are open again. And for an investor pitch the canvas is the content backbone: nine blocks that hold up are worth more than thirty slides that look nice.

There are also situations where a different tool makes more sense. For an established business with proven revenue and partners, the original Business Model Canvas is often a better fit, because the four replaced blocks are relevant there. If your question is not about the whole model but only about the proposition, why does a customer choose me, then you are better off with the Value Proposition Canvas, which zooms in on exactly that part. And do not expect market figures from the skill: it structures what you know and labels what you do not know, but researching the market remains your work. The experiments tell you how.

The most important limit is the same as with every canvas: filling it in is the start, not the result. A Lean Canvas that disappears into a drawer after being filled in has become a one page business plan. The three experiments are there to be carried out, and the canvas should then be updated with what you learned. Hence the name of the method too: iterating from plan A to a plan that works.

~/skills/ai-lean-canvas-strategist/05-upgrade-path[ok]
Section 05 · From skill to employee

Run it yourself, or have it run for you

reg. L.005

This skill is the free do it yourself version of thinking work we also deliver as a service. It stays complete and with no catches, but realise what a skill is: it teaches your AI how to do something, while every new session starts empty. What you get is not the engine and not the memory. You prompt, you supply your stage, your experiments and your lessons learned again every time, you check the result. Anyone who wants it differently has two follow up steps: hand over the engine, or arrange the memory.

$ cat from-skill-to-employee.mdthree steps, same work
upgrade-path.shfree · employee · brain
STEP 1 · FREE
where you are now
The skill: you are the engine You run the Lean Canvas Strategist yourself in Claude, Codex or Cursor. It costs nothing, works today, and you keep it entirely in your own hands: no trial period, no locked features. The limit is your own time: it only happens when you prompt. $ claude --skill ai-lean-canvas-strategist · €0 · you prompt, you check
STEP 2 · SERVICE
have it prepared for you
The AI employee: it is ready without you having to prompt This same kind of work, but as a service: an AI employee that prepares the recurring thinking and writing work without you having to sit behind Claude for it. Control stays with you, because output stays a draft until a human approves it. We deliver this through Mansotti, the company TheSEO trades as, which builds three fixed employees: the Quote employee, the Sales employee (prospect research) and the Reporting employee (weekly and monthly reports). from €950 per month · a human always gives approval
STEP 3 · BRAIN
everything from one source
Jarvis: all your AIs work from the same company knowledge The skill teaches the AI, the brain is where the memory lives. Want all your AIs to work from the same company knowledge? That is Jarvis, the organisation brain. It connects ChatGPT, Claude, Codex and your people to the same projects, core knowledge and decisions, so your next AI session does not start from scratch. For this canvas in particular that matters: your stage, your running experiments and their outcomes are exactly the context you now supply again every session. What that delivers in practice, from the plans to your first week, you can read at Jarvis itself. entry plan Brain Start: €9 per month incl. VAT · pay for your brain, not per AI question
# not a sales trick: step 1 stays free and complete. The next steps are for anyone who wants to hand this work off.
~/skills/ai-lean-canvas-strategist/06-jarvis[ok]
Section 06 · The brain

What Jarvis delivers in practice

reg. L.006

Step 3 deserves more than a paragraph, because a Lean Canvas is by definition work in progress: assumptions get tested, blocks get revised, and last month's version is deliberately not today's version. That iteration process is exactly what a standalone chat session cannot remember. Jarvis is the organisation brain that keeps that knowledge, divides up the work and tracks what happened. You notice it first at the start of a new session.

FIG.05: What a session gets back from the brain[#####] sheet 5/5
jarvis · organisation brain● sync
$jarvis recall "lean canvas experiments" # schematic example
[core]canvas v3 · segment: solo recruiters · uvp: 50 DMs with a personal hook, with no template feel
[core]stage: first customers · revenue model: subscription, price point still open
[task]experiment 1 running: price A/B test on the landing page · outcome not in yet
[decision]channel choice: LinkedIn outbound first, cold email parked until after the test · human gave approval
[log]previous session: claude revised the problem block after three customer conversations, a human approved the change
[ok]context loaded · this session does not start empty
this is how every assignment runs through the brain: recordedcontext setdelegatedhuman approvalstored · the full trail is at jarvis/how-it-works NL
context.kept Your next session does not start over Today you explain your stage, your canvas and your running experiments, and tomorrow a separate chat knows none of it any more. With Jarvis every session starts with the latest canvas version and the state of the experiments, as in FIG.05: recall first, then work.
ai.connected ChatGPT, Claude and Codex, one source Every connected AI works from the same core knowledge and agreements. The UVP you settle on in Claude gets used by ChatGPT in the pitch text and by Codex in the landing page of your smoke test. No three versions of your model grow up side by side.
tasks.tracked Tasks scheduled, tracked, reported done An experiment is a task: recorded with a goal and a deadline, picked up by the right agent and reported done with the outcome attached. You can see at any moment which of your three assumptions has been tested, which is running and which is waiting.
everything.logged Everything logged and open to inspection Every step leaves a checkable trail: who asked what, which sources were used, which agent worked on it and who gave approval. With a pivot you can read back why the previous plan failed, instead of reconstructing it from separate chats.
human.approval Nothing goes out without approval AI prepares, a human decides. Output stays a draft until someone approves it, and only approved knowledge goes back into the brain. So a revised canvas never silently becomes the new truth.
brain.isolated Client brain isolated If you work on several ideas or for several clients, the knowledge stays strictly separated. The canvas from one project does not leak into another, not even by accident.
# THE HONEST PROOF · NOT A DEMO

We have been running on it ourselves for months, every day. Every agent session, every task and every decision gets logged in it and can be read back. A new session therefore does not start blank: it first retrieves the recorded decisions, the running projects and the latest changes, and carries on from where the previous one stopped. So we are not describing a promise but the way of working we ourselves work in every day.

$ cat pricing.mdpay for your brain, not per AI question
Brain Start €9 /month incl. VAT 1 organisation brain · 1 user · 1 AI employee
Brain Solo €29 /month incl. VAT 1 organisation brain · 1 user · 3 AI employees
Brain Team €99 /month incl. VAT 1 organisation brain · 5 users · 10 AI employees
Brain Business €249 /month incl. VAT 3 organisation brains · 20 users · 50 AI employees

See the four plans at jarvis/pricing NL. Through the waiting list NL you only pass on your preferred plan, without obligation. That does not create an account, an order or a duty to pay. We discuss business terms separately first.

~/skills/ai-lean-canvas-strategist/07-canvas-chain[ok]
Section 07 · The canvas chain

The skills around it

reg. L.007

A canvas never stands on its own: customer conversations come before it and measurements come after it. These skills from the same library of 100 each tackle a different piece of that chain.

Before the canvas

the validation

You test the assumptions from blocks one and two in conversations. This skill makes sure those conversations are worth something.

Mom Test CoachRunning customer interviews without leading answers, exactly what the experiment queue asks of you.SKILL Jobs to be Done AnalystDigs out which job your customer is really trying to get done: the fuel for your problem block.SKILL
$ claude --interactief # seven questions, seven answers
DOC.07 · FAQ

Frequently asked questions

What does the Lean Canvas Strategist skill cost?

Nothing. The skill is free, falls under the MIT licence, and you do not need to create an account or leave an email address. You download a 3.6 KB zip containing one folder and a single file, SKILL.md, and that is the complete skill. There is no paid version and no sales email follows.

Does this skill also work in Codex, Cursor or Gemini CLI?

Yes. SKILL.md has been an open standard since December 2025, so the same file also works in Codex, Cursor, Gemini CLI and other tools that follow the standard. In Codex you unzip it into .agents/skills/ in your project, or into ~/.agents/skills/ for all your projects; Codex has supported SKILL.md directly since the open standard of December 2025. Putting the contents of SKILL.md into your AGENTS.md still works too. The instructions are readable text, so any AI assistant that accepts instruction files can handle it.

What is the difference between the Lean Canvas and the Business Model Canvas?

The Lean Canvas was developed by Ash Maurya in 2010 as an adaptation of Alexander Osterwalder's Business Model Canvas. Maurya replaced four blocks, namely Key Partners, Key Activities, Customer Relationships and Key Resources, with four blocks that are more relevant for startups under uncertainty: Problem, Solution, Key Metrics and Unfair Advantage. The method is strongly inspired by Eric Ries's Lean Startup approach and revolves around testing assumptions before you make large investments.

What information do I need to provide?

Five things: your idea, product or service in one paragraph, which problem you solve and for whom, which stage you are in (idea, first customers, scaling or pivot), what you have already tested or learned, and your intended revenue model, even if you are not sure of it yet. Whatever you do not know, the skill fills that block with an ASSUMPTION label and marks it as needing validation.

Does the skill also produce a business plan or pitch deck?

No, and that is stated literally in the file: no full business plan and no forty page deck. The Lean Canvas is one page by definition, structured, and meant to expose assumptions instead of hiding them behind nice language. If you want to prepare an investor pitch, the canvas is the content foundation such a story rests on though.

What are the three riskiest assumptions?

After every canvas the skill always delivers the same short list: the biggest assumption about the problem (does this segment really feel it this badly), the biggest assumption about the solution (does this actually solve the problem) and the biggest assumption about growth (can this channel and revenue model scale). For each assumption you get a concrete one to two week experiment to validate it, such as a round of interviews, a smoke test, a prototype or a fake door test.

Is a filled in canvas proof that my idea works?

No. The canvas is a structured collection of hypotheses, not proof. The skill is actually built to make that difference visible: everything you have not tested gets an ASSUMPTION label, and the three riskiest assumptions each get an experiment. The proof comes from those experiments and from conversations with real customers, not from filling it in.

$ cat 08-en-nu.md
DOC.08

From canvas to customers

A sharp canvas tells you which channel to test first, but as soon as that channel is your website, a different craft begins: getting found by the people with exactly your problem block. The free SEO scan shows in a few seconds where your site stands. In the guide which strategy model when NL you can see how this model relates to the others. And if you want to talk further about what AI can do for your business beyond that, from separate skills to full automation, we simply do that in a conversation.

Section 08 · Next stepreachable 24/7
Book a call NL
$ whoami
Gianluca, founder
Written by GianlucaFounder. Has been building visibility for Dutch businesses since 2017, in Google and in AI answers. More about the institute.