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Strategy Doc

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assimovt
strategy-doc

Write product strategy documents with real tradeoffs and clear choices. Use when asked to write a product strategy, define strategic direction, create a strategy doc, or articulate where to play and how to win. Built on Playing to Win and Rumelt's Strategy Kernel.

Overview

Publisherassimovt
Repositoryproductskills
Skill namestrategy-doc
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 Strategy Doc 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/strategy-doc
  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/strategy-doc .claude/skills/strategy-doc
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Strategy Doc 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 Strategy Doc 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 Strategy Doc 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.

Write strategy that forces hard choices. A strategy that doesn't say "no" to something isn't a strategy — it's a wish list. Strategy is not goals, not aspirations, and not a list of things you want to do. It's a coherent set of choices about where to play and how to win.

The Strategy Kernel (Richard Rumelt)

Every strategy document must contain these three elements:

1. Diagnosis

What's actually going on? Name the challenge clearly. A good diagnosis simplifies complexity by identifying the critical factors.

  • "Our activation rate is 23% because new users don't understand the product's value in their first session."
  • NOT: "We need to grow faster." (That's an aspiration, not a diagnosis.)

2. Guiding Policy

The overall approach for dealing with the challenge. This is the big directional bet — it rules things in AND rules things out.

  • "Focus entirely on time-to-first-value for solo users before expanding to teams."
  • NOT: "Improve the product across all dimensions." (That's not a choice.)

3. Coherent Actions

Specific, coordinated actions that execute the guiding policy. Actions should reinforce each other.

  • "Rebuild onboarding as a guided first-project flow. Remove the team invite step from signup. Add inline tooltips on the three core features. Measure activation at 'first project completed' not 'account created.'"

Playing to Win Framework (Lafley/Martin)

Structure the strategy as five cascading choices:

  1. Winning Aspiration: What does winning look like? (Not revenue targets — the change you want to create)
  2. Where to Play: Which customers, segments, geographies, channels? Be specific about what you're NOT pursuing.
  3. How to Win: What's your competitive advantage in your chosen space?
  4. Capabilities: What must you be great at to win this way?
  5. Management Systems: How will you track whether the strategy is working?

Each choice constrains the next. If "Where to Play" doesn't narrow the field, it's not a choice.

Guidelines

  • CRITICAL: Every strategy doc MUST include what you will NOT do. A strategy without tradeoffs is not a strategy.
  • NEVER confuse strategy with goals. "Reach $10M ARR" is a goal. "Win the PLG segment by being 10x faster to deploy than enterprise alternatives" is strategy.
  • NEVER list more than 3 strategic priorities. If everything is a priority, nothing is.
  • ALWAYS include a diagnosis that names the core challenge. If you can't name the problem, you can't solve it.
  • ALWAYS make the guiding policy falsifiable. Someone should be able to argue against it.
  • NEVER write strategy in a vacuum. Ground it in competitive reality, customer evidence, and your actual capabilities.

Example: Good vs Bad

Bad guiding policy:

"We will build the best product in the market by focusing on quality, speed, and customer satisfaction."

Good guiding policy:

"We will win technical PMs at Series A-B startups by being the fastest path from customer insight to shipped feature — sacrificing enterprise compliance features and multi-team coordination to stay opinionated and fast."

The good version names who, names what you're sacrificing, and could be argued against.


Built on Good Strategy Bad Strategy (Richard Rumelt) and Playing to Win (Lafley/Martin). Skills from productskills.

Frequently asked questions

What does the Strategy Doc AI skill do?

Write product strategy documents with real tradeoffs and clear choices. Use when asked to write a product strategy, define strategic direction, create a strategy doc, or articulate where to play and how to win. Built on Playing to Win and Rumelt's Strategy Kernel.

Why use Strategy Doc on TypingMind?

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

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

Which AI models can use Strategy Doc?

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 Strategy Doc?

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

Is the Strategy Doc 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.

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