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Pm Product Canvas

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julianoczkowski
pm-product-canvas

Build a Pragmatic Institute Product Canvas / business case to justify investing in an opportunity — the market-driven way. Use when the PM asks to "make the business case", "justify this to leadership", "size the market", "should we buy, build or partner", "what's the ROI", "build a product canvas", or "get buy-in for this idea". Frames the opportunity as Value Proposition, Value Creation and Value Capture, sizes the market, runs the Buy/Build/Partner decision, and ends in a go/no-go recommendation with quantified risk. Produces a Product Canvas / Business Case as a Markdown or Word .docx artifact.

Overview

Publisherjulianoczkowski
Repositoryproduct-manager
Skill namepm-product-canvas
Stars
51
Forks
7
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by julianoczkowski on GitHub. Read the source before you install it.

Installation

Install the Pm Product Canvas AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/julianoczkowski/product-manager/tree/main/skills/pm-product-canvas
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/julianoczkowski/product-manager.git /tmp/product-manager
mkdir -p .claude/skills
cp -r /tmp/product-manager/skills/pm-product-canvas .claude/skills/pm-product-canvas
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pm Product Canvas in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pm Product Canvas on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pm Product Canvas is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Product Canvas / Business Case (Pragmatic Framework: Business → Business Plan)

Rule: the Business Plan is an objective analysis of a market opportunity that provides the basis for investment. Articulate what you learned in the market, quantify the risk with a financial model, and end with a go/no-go recommendation. Opinion is irrelevant; the case is built on validated market evidence. See ../pm-copilot/references/framework.md for the market-problem test and primitives.

Check the feature dossier first (see ../pm-copilot/references/artifact-output.md) and reuse the market problem, personas, positioning, competitive picture, and distinctive competencies already established there. Where they're missing, gather them (run pm-market-problems, pm-personas, pm-positioning, pm-competitive-landscape, pm-distinctive-competence) — the canvas synthesizes them.

The Product Canvas — three parts

1. Value Proposition — why this, why us, why now

  • Market opportunity — the urgent, pervasive, willing-to-pay problem.
  • Buyer / user persona — who has the problem and who pays.
  • Positioning statement — the ≤25-word "For [persona], [product] [verb] [problem] by [verb] [benefit]."
  • Strategic alignment — how it supports company strategy (tie to the Strategy Matrix).

2. Value Creation — can we win, and at what cost

  • Distinctive competencies — the valued + different + provable strengths this leverages.
  • Competitive landscape — alternatives, their strengths/weaknesses, our winning strategy.
  • Impact to buyers/users — the positive/negative consequences; the ROI to the buyer.
  • Investment level — resources (people, material, facility) required.

3. Value Capture — what the business gets back

  • Market size — see sizing below.
  • Revenue generation — projected units × price over the horizon.
  • Costs / profits — see cost models below.
  • Distribution strategy — the channels aligned to how the market buys.
  • Success metrics — how you'll know it worked (Value / Quality / Progress / Satisfaction).

Market sizing & financials

  • Revenue = projected number of units × unit price (build a simple multi-period model).
  • Cost — pick one model:
    • Percentage-of-Revenue model — estimated revenue × historical contribution margin.
    • Estimation model — sum the loaded costs of dedicated headcount across Engineering, Services, Support, Sales, Marketing, Data Science, etc.
  • Quantify risk: state the key assumptions and what would break the model.

Buy, Build or Partner decision tree

Work top to bottom:

  1. Does the solution leverage our distinctive competencies? → Build.
  2. If no — can we create it at low cost? → Build.
  3. If no — do we have the time to reach a solution? If no → Buy.
  4. If yes — are the required skill sets available internally? Yes → Build; No → Partner.

Interview the user (batch questions)

  1. The opportunity in one line, the persona, and the market problem + evidence.
  2. Strategic fit — which company goal / Strategy-Matrix cell does it serve?
  3. Distinctive competencies it leverages; main competitors/alternatives.
  4. Rough units, price, time horizon; do you have contribution-margin history or headcount estimates?
  5. Any gaps in the solution you'd need to fill (feeds Buy/Build/Partner)?
  6. Success metrics leadership cares about.

Artifact template

markdown
# Product Canvas / Business Case — <Opportunity>

**Company:** <company>  ·  **Feature / Product:** <feature / product name>
**Author:** <author>  ·  **Date created:** <date>  ·  **Version:** 1.0
**Recommendation:** <GO / NO-GO / GO WITH CONDITIONS> — <one-line rationale>

## 1. Value Proposition
- **Market opportunity (problem):** <urgent, pervasive, willing-to-pay problem + evidence>
- **Buyer persona:** <who pays>  •  **User persona:** <who uses>
- **Positioning statement:** For <persona>, <product> <verb> <problem> by <verb> <benefit>.
- **Strategic alignment:** <company goal / Strategy-Matrix cell it serves>

## 2. Value Creation
| Dimension | Assessment |
| :--- | :--- |
| Distinctive competencies leveraged | <valued + different + provable> |
| Competitive landscape | <alternatives, strengths/weaknesses, our winning strategy> |
| Impact to buyers/users | <ROI / consequences> |
| Investment level | <people, material, facility> |

## 3. Value Capture
- **Market size:** <TAM/segment sizing basis>
- **Revenue model:**

| Period | Units | Unit Price | Revenue |
| :--- | ---: | ---: | ---: |
| Y1 | <#> | <$> | <$> |
| Y2 | <#> | <$> | <$> |

- **Cost model:** <Percentage-of-Revenue @ __% margin  |  Estimation: headcount × loaded cost>
- **Projected profit / contribution:** <$>
- **Distribution strategy:** <channels>
- **Success metrics:** <Value / Quality / Progress / Satisfaction metrics>

## 4. Buy, Build or Partner
<Walk the decision tree; state the recommendation and why.>

## 5. Risk & assumptions
- <key assumption> — <what breaks the model if wrong>
- > TODO: <unvalidated inputs to confirm>

## 6. Recommendation
<Go / No-go / conditions, tied to the evidence above.>

Deliver the artifact

Follow ../pm-copilot/references/artifact-output.md: confirm inputs, ask Markdown or .docx, write the .md, and convert to .docx on request via your environment's native document-creation capability. Then offer the next stage: turning the approved opportunity into a pm-product-roadmap.

Frequently asked questions

What does the Pm Product Canvas AI skill do?

Build a Pragmatic Institute Product Canvas / business case to justify investing in an opportunity — the market-driven way. Use when the PM asks to "make the business case", "justify this to leadership", "size the market", "should we buy, build or partner", "what's the ROI", "build a product canvas", or "get buy-in for this idea". Frames the opportunity as Value Proposition, Value Creation and Value Capture, sizes the market, runs the Buy/Build/Partner decision, and ends in a go/no-go recommendation with quantified risk. Produces a Product Canvas / Business Case as a Markdown or Word .docx a...

Why use Pm Product Canvas on TypingMind?

Because you install it once and use it with any model. Pm Product Canvas is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pm Product Canvas in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/julianoczkowski/product-manager/tree/main/skills/pm-product-canvas. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pm Product Canvas?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pm Product Canvas?

As many as you like. As long as a model supports skills, you can use Pm Product Canvas with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pm Product Canvas AI skill free?

Yes. It is published on GitHub by julianoczkowski under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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