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Market Scan

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AIDevGTM
market-scan

Refresh the user's competitive and market context. Re-scan named rivals and the category for what changed since the brief was written (rebrands, repositioning, new entrants, pricing shifts, renamed categories) and update docs/gtm-cofounder/founder-brief.md and the roadmap with anything that moves positioning. Use on a cadence, or whenever a competitor rebrands, a new tool appears, or the user senses the market has shifted under them.

Overview

PublisherAIDevGTM
Repositorygtm-cofounder
Skill namemarket-scan
Stars
323
Forks
31
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 AIDevGTM on GitHub. Read the source before you install it.

Installation

Install the Market Scan 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/AIDevGTM/gtm-cofounder/tree/main/skills/16-market-scan
  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/AIDevGTM/gtm-cofounder.git /tmp/gtm-cofounder
mkdir -p .claude/skills
cp -r /tmp/gtm-cofounder/skills/16-market-scan .claude/skills/market-scan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Market Scan 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 Market Scan 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 Market Scan 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.

Market scan (keep your read current)

Positioning rots. The competitor you sized up six months ago has since rebranded, raised, repriced, or renamed the category. This is the habit that keeps your brief honest about the world outside it.

Use this when: a rival just rebranded or repositioned, a new tool is getting attention in your space, your docs/gtm-cofounder/founder-brief.md competitor answers are more than a quarter old, or you just have the feeling the ground moved and your messaging is answering last year's market.

The core idea

research-the-market is the first full pass on the market: venues, launches, the problem in public, rivals, openings. This skill is the refresh after that, focused on what changed.

Your docs/gtm-cofounder/founder-brief.md captured the market as it was the day you wrote it. Markets don't hold still. A scan re-checks the outside world against your brief and surfaces the deltas: what changed, and which changes actually threaten or help your positioning. Most don't matter. The scan's job is to find the two or three that do, not to produce a competitor spreadsheet.

Before you start: can your agent see the web?

  • If your agent can browse or search the web, it runs the scan for real: competitor homepages, changelogs, pricing pages, launch posts, and recent discussion.
  • If it can't, it runs the scan as an interview: it asks what you've noticed and where, and you paste in the pages. Same output, you're the browser. Say which mode you're in up front.

How to run this (for the agent)

  • Start from the brief. Read docs/gtm-cofounder/founder-brief.md: the rivals ("what do they use instead"), the "why you", the villain, and the current positioning line. That's your baseline to compare against.
  • Scan the named rivals first, then the category. For each competitor in the brief, check: homepage headline and positioning, pricing, any rebrand or renamed category, funding or acquisition, and new capabilities that erase the founder's wedge. Then scan for new entrants and category-level shifts (a term everyone suddenly uses, a platform move, an AI or agent shift).
  • Report deltas, not descriptions. Do not summarize each competitor. Say what changed since the brief, and for each change, whether it strengthens, threatens, or is irrelevant to the founder's positioning. Rank by "does this move our position."
  • Tie every real change to an action. A rival adopting the founder's language means the wedge is eroding: route to positioning-and-story. A new pricing norm means revisit market-to-devs-sell-to-buyers. A dead competitor means an opening. No action, no reason to flag it.
  • Update the brief and roadmap. Rewrite the affected lines in docs/gtm-cofounder/founder-brief.md (rivals, why-you, villain, positioning) with today's reality and the date, and add any positioning move it triggers to docs/gtm-cofounder/gtm-roadmap.md. Keep the tags honest: a competitor's public claim is [assumption] until you have checked it is real.

What actually matters (and what doesn't)

Changes worth acting on:

  • A rival repositions onto your wedge or adopts your vocabulary. Your differentiation is eroding. Highest priority.
  • A new entrant is getting real traction in your exact lane.
  • The category gets renamed (buyers now search a different term than your copy uses).
  • A pricing norm shifts (a free tier appears or disappears, seat pricing becomes standard).

Noise to ignore:

  • Cosmetic rebrands, new logos, homepage redesigns with the same substance.
  • Feature announcements that don't touch your wedge.
  • Funding rounds that don't change what the product is or who it is for.

Mistakes that look reasonable

  • Reacting to a competitor's launch by copying it. Their move fits their strategy, not yours. Ask what it means for your wedge, not how to match it.
  • Scanning everything, changing nothing. A scan that doesn't update the brief or the roadmap was just anxiety with extra steps.
  • Treating a rival's marketing claim as fact. "Now with X" on a homepage is a positioning bet, not proof it works. Tag it [assumption].
  • Doing it constantly. Monthly, or on a real trigger (a rebrand, a new entrant), is plenty. Daily competitor-watching is procrastination dressed as diligence.

Your next 30 minutes

  • Tell your agent which mode you're in (it browses, or you paste).
  • List the rivals from your docs/gtm-cofounder/founder-brief.md. Scan each for a rebrand, repricing, or repositioning since you wrote it.
  • Write down only the changes that touch your wedge. Ignore the cosmetic ones.
  • For each real change, mark it strengthens / threatens / irrelevant, and the one action it triggers.
  • Update the affected lines in docs/gtm-cofounder/founder-brief.md (with the date) and add any positioning move to docs/gtm-cofounder/gtm-roadmap.md.

Built from real dev-tool GTM experience, with frameworks from Adam Frankl (The Developer-Facing Startup) and Jakub Czakon (markepear.dev). If the market has shifted under you and you're not sure what it means for positioning, reach out to me on LinkedIn.

Frequently asked questions

What does the Market Scan AI skill do?

Refresh the user's competitive and market context. Re-scan named rivals and the category for what changed since the brief was written (rebrands, repositioning, new entrants, pricing shifts, renamed categories) and update docs/gtm-cofounder/founder-brief.md and the roadmap with anything that moves positioning. Use on a cadence, or whenever a competitor rebrands, a new tool appears, or the user senses the market has shifted under them.

Why use Market Scan on TypingMind?

Because you install it once and use it with any model. Market Scan 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 Market Scan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AIDevGTM/gtm-cofounder/tree/main/skills/16-market-scan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Market Scan?

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 Market Scan?

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

Is the Market Scan AI skill free?

Yes. It is published on GitHub by AIDevGTM 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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