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Defining Product Strategy

OrganizationPopular
RefoundAI
defining-product-strategy

Help users move beyond ambitious goal-setting to create a rigorous diagnosis of challenges and a clear, actionable plan for winning in their specific market.

Overview

PublisherRefoundAI
Repositorylenny-skills
Skill namedefining-product-strategy
Stars
1.3K
Forks
170
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Defining Product Strategy 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.
  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/RefoundAI/lenny-skills.git /tmp/lenny-skills
mkdir -p .claude/skills
cp -r /tmp/lenny-skills/skills/defining-product-strategy .claude/skills/defining-product-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Defining Product Strategy 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 Defining Product Strategy 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 Defining Product Strategy 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.

Defining Product Strategy

Transform vision into a concrete plan of action by making hard choices that drive customer behavior.

Help the user with defining product strategy using insights from 27 guests and posts across Lenny's Podcast and Newsletter.

How to Help

  1. Diagnose the crux - Help the user identify the primary obstacle or high-stakes challenge that is currently holding the product back.
  2. Guide the choice cascade - Walk the user through defining where they will compete and how they will uniquely win in that space.
  3. Structure the narrative - Assist in distilling complex directions into a simple 'why' and a set of memorable strategic pillars.
  4. Stress-test the plan - Use AI or external critiques to identify blind spots, common consensus thinking, or lack of defensibility.

Core Principles

Distill to a simple 'why'

Anneka Gupta: "When people say, 'I want someone that's strategic,' what they're really saying is, 'I want someone that can come up with and articulate a compelling and simple why behind the decisions and the direction of the company and product.' So that's number one. And the second piece is, 'I want someone that's going to champion and be a change agent to do things that may be hard but actually best for the long-term interest of the product or company, even though those things are not going to be easy to execute on.'"

True leadership requires the ability to take complex company directions and compress them into a single, compelling narrative that provides clear purpose for the team.

Strategy as an integrated set of choices

Annie Pearl: "Strategy is really just an integrated set of choices that outline how you're going to win in whatever marketplace you choose. And so, a good product strategy is going to answer questions like what's your winning aspiration? But maybe more importantly, where are you going to play?"

Avoid lists of goals by defining exactly where the company will compete and the specific mechanisms it will use to win in that marketplace.

Challenge conventional wisdom

Dharmesh Shah: "Some of the best startup advice I've heard is startups should focus on one thing and be really, really exceptionally world-class at that one thing. And one of our early zigs is we are going to do exactly the opposite of that."

Significant success often comes from making high-conviction bets that intentionally diverge from standard industry advice regarding product scope.

Prioritize clarity over perfection

Jag Duggal: "We may not be right, but at least we are clear. Even if your strategy isn't right, you have a very clear idea of what was supposed to be happening."

Being clear about the intended path is more valuable than being certain of the outcome because it allows for faster learning when expectations and reality diverge.

Diagnosis, policy, and action

Richard Rumelt: "Well, a strategy is a design for overcoming a high-stakes challenge. It's a mixture of policy and action designed to deal with a challenge."

A legitimate strategy defines the high-stakes challenge through a diagnosis, sets a guiding policy for dealing with it, and outlines coherent actions to take.

Questions to Help Users

  • "What is the specific, high-stakes challenge or obstacle that is holding your product back from its next level of growth?"
  • "Which customer segments or market opportunities are you intentionally choosing to ignore to maintain focus?"
  • "How will your product be 10x better or uniquely defensible compared to the nearest competitor?"
  • "Can you summarize your strategy in a single, simple sentence that a new hire could use to make an independent trade-off?"
  • "What are the foundational megatrends or shifts in technology that make this specific strategy viable right now?"
  • "If you had to pick just one 'crux' problem to solve this quarter, what would it be?"

Common Mistakes to Flag

  • Mistaking goals for strategy - Listing ambitious performance targets without identifying the actual obstacles or explaining how to overcome them creates planning theater.
  • Relying on speed as power - Operational excellence and 'moving fast' are necessary for survival but do not provide the structural barriers required for a durable strategy.
  • Solving for everyone at once - Horizontal products often fail by trying to solve one problem for everyone rather than deeply capturing the workflow of a specific audience.
  • Lack of high-stakes diagnosis - Teams often skip the hard work of diagnosing the reality of their situation, leading to strategies that address symptoms rather than root causes.

Deep Dive

For all 50 sourced insights from 27 guests, see references/guest-insights.md

Related Skills

  • Product Vision
  • Positioning
  • Pricing Strategy
  • North Star Metrics

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Defining Product Strategy AI skill do?

Help users move beyond ambitious goal-setting to create a rigorous diagnosis of challenges and a clear, actionable plan for winning in their specific market.

Why use Defining Product Strategy on TypingMind?

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

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

Which AI models can use Defining Product Strategy?

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 Defining Product Strategy?

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

Is the Defining Product Strategy AI skill free?

Yes. It is published on GitHub by RefoundAI 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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