Positioning Map logo

Positioning Map

Organization
pmalliance
positioning-map

Read all of your competitors' public messaging alongside your own in one pass and map how each player frames itself - the category they claim, who they target, the value they lead with, and their proof. Shows where everyone is crowding onto the same claims and which angles are sitting unclaimed. Use when planning positioning or a launch, when a competitor makes a move, or when you need to see the whole competitive field at once rather than one rival at a time. Triggers: "map the competitive landscape," "how do competitors position," "where can we differentiate," "everyone sounds the same," "competitive positioning."

Overview

Publisherpmalliance
Repositoryproduct-marketing-skills
Skill namepositioning-map
Stars
77
Forks
12
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 pmalliance on GitHub. Read the source before you install it.

Installation

Install the Positioning Map 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/pmalliance/product-marketing-skills/tree/main/pmm-signal-pack/skills/positioning-map
  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/pmalliance/product-marketing-skills.git /tmp/product-marketing-skills
mkdir -p .claude/skills
cp -r /tmp/product-marketing-skills/pmm-signal-pack/skills/positioning-map .claude/skills/positioning-map
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Positioning Map 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 Positioning Map 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 Positioning Map 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.

Positioning Map

What this does

Reads the public positioning of your competitors and your own, and lays the whole field out side by side. For each player it captures the category they claim, the audience they target, the value they lead with, and the proof they lean on. Then it shows two things: where the field is crowded (claims many players are making, where you will not stand out) and which credible angles no one is currently making.

Looking at one competitor at a time hides the pattern. Seeing them together is what tells you where the room is.

Why this is a Fable-recommended job

An honest read of the field means holding many competitors' full messaging in view at once and comparing across all of it. Claude Fable 5 can take the whole set - every rival's homepage, product pages, and category language plus your own

  • in a single run and compare across it, which is what surfaces both the crowding and the openings.

If Fable is not available or the budget is spent: capture each competitor's positioning into a short standard profile one at a time, then load the profiles together for the comparison pass. The profiles are smaller than the raw pages, so the final comparison fits a smaller model.

Evidence to gather first

  • Each competitor's homepage, product pages, and category or "why us" pages
  • Their pricing pages, if public
  • Their recent launch or announcement copy
  • Analyst or review-site category language (G2, Gartner summaries)
  • Your own equivalent pages

Read .agents/product-marketing-context.md first if it exists, for your current positioning and the competitor set that matters.

Process

  1. Confirm the competitor set and that you want your own positioning included (you usually do - it shows where you overlap with the field).
  2. For each player, build a positioning profile: claimed category, target audience, primary value, top three claims, proof used, and tone.
  3. Lay the profiles side by side. Identify the claims and angles multiple players share (the crowded ground).
  4. Identify credible angles no player is making, and note for each whether you could actually support it with your product and evidence - an unclaimed angle you cannot back is not an opportunity.
  5. Produce the map.

Output format

  • Summary - players analyzed, the crowded claims, the most promising unclaimed angles.
  • Positioning profiles - one compact profile per competitor and for you.
  • Crowded ground - the claims and angles multiple players share, with who is making each.
  • Unclaimed angles - credible positions no one is taking, each with a note on whether your product and proof can support it.
  • So-what for us - where you currently sit, and the two or three directions the map suggests are worth testing.

The evidence standard

Every profile and every claim about a competitor must cite the page or source it came from, and quote their actual language where it matters. Do not characterize a competitor's positioning from memory or assumption - only from what is on their pages. Mark an unclaimed angle as an opportunity only after checking whether you can support it; otherwise label it "open but unsupported."

Frequently asked questions

What does the Positioning Map AI skill do?

Read all of your competitors' public messaging alongside your own in one pass and map how each player frames itself - the category they claim, who they target, the value they lead with, and their proof. Shows where everyone is crowding onto the same claims and which angles are sitting unclaimed. Use when planning positioning or a launch, when a competitor makes a move, or when you need to see the whole competitive field at once rather than one rival at a time. Triggers: "map the competitive landscape," "how do competitors position," "where can we differentiate," "everyone sounds the same,"...

Why use Positioning Map on TypingMind?

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

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

Which AI models can use Positioning Map?

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 Positioning Map?

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

Is the Positioning Map AI skill free?

Yes. It is published on GitHub by pmalliance 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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