Competitive Positioning logo

Competitive Positioning

Community
Productfculty-aipm
competitive-positioning

Use this skill when the user asks for "competitive analysis", "who are our competitors", "competitive landscape", "how do we compare to X", "competitive positioning", "how do we differentiate", "what's our competitive advantage", "are we differentiated", or wants to understand the competitive context and define how to win against alternatives. Also use this skill when preparing for a board meeting or investor conversation that includes competitive positioning.

Overview

PublisherProductfculty-aipm
RepositoryPM-Copilot-by-Product-Faculty
Skill namecompetitive-positioning
Stars
80
Forks
34
Bundled files
Instructions only
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 Productfculty-aipm on GitHub. Read the source before you install it.

Installation

Install the Competitive 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/Productfculty-aipm/PM-Copilot-by-Product-Faculty/tree/main/skills/competitive-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/Productfculty-aipm/PM-Copilot-by-Product-Faculty.git /tmp/PM-Copilot-by-Product-Faculty
mkdir -p .claude/skills
cp -r /tmp/PM-Copilot-by-Product-Faculty/skills/competitive-positioning .claude/skills/competitive-positioning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitive 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 Competitive 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 Competitive 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.

Competitive Positioning

You are helping the user understand the competitive landscape and define a defensible position — one that makes winning sustainable, not just situational.

Frameworks: Hamilton Helmer (7 Powers), April Dunford (Obviously Awesome — 5-component positioning), Lenny Rachitsky (differentiation guide, citing Michael Porter).

Key principle from Lenny/Porter: "Competing to be unique is ultimately more sustainable than competing to be the best." — Lenny Rachitsky, Differentiating Your Product (2022)

Step 1 — Load Context

Read memory/user-profile.md for product stage and current bets. Read context/company/competitors.md if it exists. If not, proceed to research.

Step 2 — Map the Competitive Landscape

Identify competitors across three types:

Direct competitors: Products that solve the same problem for the same user segment with a similar approach

Indirect competitors: Products that solve the same problem differently, or a different problem that our users also have

Status quo: What users do today if they don't use any of the above — could be spreadsheets, manual processes, hiring someone, or doing without

The competitive set should be the user's competitive set, not the investor's. Ask: "What would a user try if they decided not to use our product?" That's the true competitive landscape.

If WebSearch access is available, run parallel research:

  • Search "[product category] competitors [year]" — find who else is in this space
  • Search "[top competitor] reviews" — find what users love and hate about alternatives
  • Search "[product category] market" — find recent funding, launches, or announcements

Step 3 — Competitive Comparison Matrix

For each competitor, capture:

  • Primary strength (what they do best)
  • Primary weakness (what users complain about)
  • Target user segment (is it the same as ours or different?)
  • Pricing model
  • Key differentiator

Build a comparison table. Identify: where is there white space? Where does every competitor have the same weakness?

Step 4 — 7 Powers Analysis (Hamilton Helmer)

Evaluate which of Helmer's 7 durable competitive moats apply to the current product:

  1. Scale economies: Does our cost per unit decrease as we grow? (Applies mainly to infrastructure-heavy products)
  2. Network effects: Does the product get better as more users join? (Direct: each user adds value for all others; Indirect: more supply attracts more demand)
  3. Switching costs: Is it painful for users to leave once they've invested in the product? (Data, integrations, workflow embedment, team training)
  4. Branding: Do we command trust and a price premium that competitors can't easily replicate?
  5. Cornered resource: Do we have exclusive access to a talent, data, or partnership that competitors can't get?
  6. Counter-positioning: Do we have a business model that established competitors can't adopt without hurting themselves?
  7. Process power: Do we have accumulated know-how and processes that create compounding advantages over time?

Rate each power: Strong / Emerging / Absent / Opportunity to build.

Step 5 — Dunford Positioning (5 Components)

Apply April Dunford's 5-component positioning framework:

  1. Competitive alternatives: What does the user do if they don't choose us?
  2. Unique attributes: What do we do that no alternative does?
  3. Value those attributes enable: What can users accomplish because of those unique attributes?
  4. Who cares most: Which user segment gets the most value from those attributes?
  5. Market category: What is the simplest frame for the category we operate in that makes our value obvious?

Use this to produce a positioning statement: "For [target segment] who [struggle], [product name] is the [market category] that [unique value]. Unlike [alternatives], we [unique differentiator]."

Step 6 — Output

Produce:

  • Competitive landscape overview (who the real competitors are and why)
  • Comparison matrix (strengths/weaknesses per competitor)
  • 7 Powers assessment (which moats are strong, emerging, absent)
  • Dunford positioning statement
  • Top 3 recommendations: what to emphasize in positioning, what to build to strengthen moats, what competitive threats to monitor

Offer to save the competitive landscape to context/company/competitors.md.

Frequently asked questions

What does the Competitive Positioning AI skill do?

Use this skill when the user asks for "competitive analysis", "who are our competitors", "competitive landscape", "how do we compare to X", "competitive positioning", "how do we differentiate", "what's our competitive advantage", "are we differentiated", or wants to understand the competitive context and define how to win against alternatives. Also use this skill when preparing for a board meeting or investor conversation that includes competitive positioning.

Why use Competitive Positioning on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Productfculty-aipm/PM-Copilot-by-Product-Faculty/tree/main/skills/competitive-positioning. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Competitive 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 Competitive Positioning?

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

Is the Competitive Positioning AI skill free?

It is published on GitHub by Productfculty-aipm. Check the repository for licensing terms. 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 👇