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Gtm Strategy

CommunityPopular
phuryn
gtm-strategy

Create a go-to-market strategy covering marketing channels, messaging, success metrics, and launch timeline. Use when planning a product launch, creating a GTM plan from scratch, or defining a launch strategy for a new market.

Overview

Publisherphuryn
Repositorypm-skills
Skill namegtm-strategy
Stars
26.4K
Forks
2.8K
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 phuryn on GitHub. Read the source before you install it.

Installation

Install the Gtm 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/phuryn/pm-skills.git /tmp/pm-skills
mkdir -p .claude/skills
cp -r /tmp/pm-skills/pm-go-to-market/skills/gtm-strategy .claude/skills/gtm-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gtm 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 Gtm 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 Gtm 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.

GTM Strategy

Overview

Create a comprehensive go-to-market strategy for a product launch. This skill covers marketing channels, messaging development, success metrics definition, and launch planning.

When to Use

  • Planning a product launch
  • Creating a GTM plan from scratch
  • Defining a launch strategy for a new market
  • Developing product-to-market fit strategy
  • Preparing a product go-live roadmap

How It Works

Step 1: Gather Research Data

The system will help you load and analyze early research about your product and target market. Provide:

  • Product description and key features
  • Target market segment details
  • Market research or validation data
  • Competitive landscape information
  • Any available customer interviews or survey data

Step 2: Define Marketing Channels

Evaluate which channels best reach your target audience:

  • Digital marketing channels (paid search, social media, display)
  • Content and inbound channels (blog, SEO, thought leadership)
  • Sales and outbound channels (direct outreach, partnerships)
  • Community and grassroots channels
  • Product-led and viral channels

Step 3: Develop Messaging

Create audience-specific messaging that resonates:

  • Core value proposition for target segment
  • Key differentiators and competitive advantages
  • Pain point validation and solution mapping
  • Proof points and social proof strategies
  • Channel-specific messaging variations

Step 4: Define Success Metrics

Establish measurable KPIs to track launch success:

  • Awareness metrics (impressions, reach, brand recall)
  • Engagement metrics (CTR, cost per engagement, time on site)
  • Conversion metrics (signups, demos requested, trials started)
  • Revenue metrics (MRR, customer acquisition cost, lifetime value)
  • Market metrics (market share, segment penetration)

Step 5: Create Launch Plan

Build a phased launch timeline:

  • Pre-launch preparation (messaging, channels, timeline)
  • Launch day activities and announcements
  • Post-launch momentum (content, partnerships, communities)
  • Measurement and optimization cadence
  • Success criteria and go/no-go decision points

Input Format

Use $ARGUMENTS to pass:

  • Product name and description
  • Target market segment
  • Research data or file path
  • Launch timeline and constraints
  • Budget or resource limitations

Output

A structured GTM strategy document including:

  • Recommended marketing channels with justification
  • Channel-specific messaging and positioning
  • Launch timeline with key milestones
  • KPI targets and measurement framework
  • Risk mitigation strategies
  • 90-day execution roadmap

Framework

This skill applies Product Compass GTM strategy methodology, focusing on market selection, channel fit, and message-market fit for sustainable product growth.

Tips

  • Start with your most confident customer segment
  • Validate assumptions through customer interviews before full launch
  • Focus on a few channels excellently rather than many channels poorly
  • Establish baseline metrics before launch to measure impact
  • Plan for feedback loops and optimization

Further Reading

Frequently asked questions

What does the Gtm Strategy AI skill do?

Create a go-to-market strategy covering marketing channels, messaging, success metrics, and launch timeline. Use when planning a product launch, creating a GTM plan from scratch, or defining a launch strategy for a new market.

Why use Gtm Strategy on TypingMind?

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

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

Which AI models can use Gtm 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 Gtm Strategy?

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

Is the Gtm Strategy AI skill free?

Yes. It is published on GitHub by phuryn 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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