Product Positioning logo

Product Positioning

Community
assimovt
product-positioning

Position a product using April Dunford's Obviously Awesome framework. Use when asked to define positioning, articulate differentiation, write a value proposition, or figure out how to position a product in the market. Follows the five-step competitive alternatives approach.

Overview

Publisherassimovt
Repositoryproductskills
Skill nameproduct-positioning
Stars
71
Forks
6
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 assimovt on GitHub. Read the source before you install it.

Installation

Install the Product Positioning 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/assimovt/productskills/tree/main/skills/product-positioning
  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/assimovt/productskills.git /tmp/productskills
mkdir -p .claude/skills
cp -r /tmp/productskills/skills/product-positioning .claude/skills/product-positioning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Product Positioning 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 Product Positioning 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 Product Positioning 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.

Position products by starting from what customers would do without you — not from your features or aspirations. April Dunford's Obviously Awesome framework works because it's grounded in reality: what alternatives exist, what you do differently, and who cares most about that difference.

The Five Steps (In Order)

These steps are sequential. Do NOT skip ahead or rearrange.

1. Competitive Alternatives

What would your best customers do if you didn't exist? List real alternatives:

  • Direct competitors
  • Indirect solutions (spreadsheets, hiring someone, different tools)
  • Do nothing

Be honest. If "do nothing" is the primary alternative, that tells you a lot about urgency.

2. Unique Attributes

What do you have that the alternatives don't? List concrete, verifiable capabilities — not marketing spin.

  • "Real-time collaboration on specs" (verifiable)
  • NOT "best-in-class experience" (unverifiable)

3. Value

What do those unique attributes ENABLE for the customer? Translate features into outcomes.

  • Attribute: "Real-time cursors and inline comments on any document"
  • Value: "Get feedback from your team in minutes instead of waiting for a meeting"

4. Best-Fit Customers

Who cares MOST about the value you deliver? Define them tightly:

  • "Remote teams of 5-15 who collaborate daily but drown in Slack threads and lost Google Docs"
  • NOT "product managers" (too broad)

Best-fit customers have: the problem acutely, tried alternatives, have budget/authority, and get the most value from your unique attributes.

5. Market Category

What market do you position in so that your value is obvious? This is the LAST decision, not the first.

Options:

  • Existing category: "We're a [known category] that [key differentiator]." Works when the category is well-understood and your differentiator is strong.
  • Subcategory: "We're [modifier] + [existing category]." Works when you serve a specific segment better. E.g., "async-first collaboration tool."
  • New category: Create a new name. Only works if you have the budget and patience to educate the market. Almost always the wrong choice for startups.

Guidelines

  • CRITICAL: NEVER position in a vacuum. Always start from competitive alternatives.
  • NEVER lead with the market category. It's the output of positioning, not the input.
  • ALWAYS position for your best-fit customers, not for everyone. Trying to appeal to everyone means resonating with no one.
  • NEVER confuse features with value. Features are what you built. Value is what the customer gets.
  • ALWAYS pressure-test by asking: "If I told my best-fit customer this positioning in one sentence, would they immediately get why they should care?"
  • NEVER use superlatives you can't prove ("best," "most powerful," "leading"). Use specifics.

Built on Obviously Awesome by April Dunford. Skills from productskills.

Frequently asked questions

What does the Product Positioning AI skill do?

Position a product using April Dunford's Obviously Awesome framework. Use when asked to define positioning, articulate differentiation, write a value proposition, or figure out how to position a product in the market. Follows the five-step competitive alternatives approach.

Why use Product Positioning on TypingMind?

Because you install it once and use it with any model. Product Positioning 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 Product Positioning in TypingMind?

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

Which AI models can use Product Positioning?

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 Product Positioning?

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

Is the Product Positioning AI skill free?

Yes. It is published on GitHub by assimovt 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇