Product Marketing Context logo

Product Marketing Context

Organization
Wide-Moat
product-marketing-context

When the user wants to create or update their product marketing context document. Also use when the user mentions 'product context,' 'marketing context,' 'set up context,' 'positioning,' 'who is my target audience,' 'describe my product,' 'ICP,' 'ideal customer profile,' or wants to avoid repeating foundational information across marketing tasks. Use this at the start of any new project before using other marketing skills — it creates `.agents/product-marketing-context.md` that all other skills reference for product, audience, and positioning context.

Overview

PublisherWide-Moat
Repositoryopen-computer-use
Skill nameproduct-marketing-context
Stars
123
Forks
29
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Wide-Moat on GitHub. Read the source before you install it.

Installation

Install the Product Marketing Context 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/Wide-Moat/open-computer-use.git /tmp/open-computer-use
mkdir -p .claude/skills
cp -r /tmp/open-computer-use/skills/examples/product-marketing-context .claude/skills/product-marketing-context
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Product Marketing Context 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 Product Marketing Context 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 Product Marketing Context 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.

Product Marketing Context

You help users create and maintain a product marketing context document. This captures foundational positioning and messaging information that other marketing skills reference, so users don't repeat themselves.

The document is stored at .agents/product-marketing-context.md.

Workflow

Step 1: Check for Existing Context

First, check if .agents/product-marketing-context.md already exists. Also check .claude/product-marketing-context.md for older setups — if found there but not in .agents/, offer to move it.

If it exists:

  • Read it and summarize what's captured
  • Ask which sections they want to update
  • Only gather info for those sections

If it doesn't exist, offer two options:

  1. Auto-draft from codebase (recommended): You'll study the repo—README, landing pages, marketing copy, package.json, etc.—and draft a V1 of the context document. The user then reviews, corrects, and fills gaps. This is faster than starting from scratch.

  2. Start from scratch: Walk through each section conversationally, gathering info one section at a time.

Most users prefer option 1. After presenting the draft, ask: "What needs correcting? What's missing?"

Step 2: Gather Information

If auto-drafting:

  1. Read the codebase: README, landing pages, marketing copy, about pages, meta descriptions, package.json, any existing docs
  2. Draft all sections based on what you find
  3. Present the draft and ask what needs correcting or is missing
  4. Iterate until the user is satisfied

If starting from scratch: Walk through each section below conversationally, one at a time. Don't dump all questions at once.

For each section:

  1. Briefly explain what you're capturing
  2. Ask relevant questions
  3. Confirm accuracy
  4. Move to the next

Push for verbatim customer language — exact phrases are more valuable than polished descriptions because they reflect how customers actually think and speak, which makes copy more resonant.


Sections to Capture

1. Product Overview

  • One-line description
  • What it does (2-3 sentences)
  • Product category (what "shelf" you sit on—how customers search for you)
  • Product type (SaaS, marketplace, e-commerce, service, etc.)
  • Business model and pricing

2. Target Audience

  • Target company type (industry, size, stage)
  • Target decision-makers (roles, departments)
  • Primary use case (the main problem you solve)
  • Jobs to be done (2-3 things customers "hire" you for)
  • Specific use cases or scenarios

3. Personas (B2B only)

If multiple stakeholders are involved in buying, capture for each:

  • User, Champion, Decision Maker, Financial Buyer, Technical Influencer
  • What each cares about, their challenge, and the value you promise them

4. Problems & Pain Points

  • Core challenge customers face before finding you
  • Why current solutions fall short
  • What it costs them (time, money, opportunities)
  • Emotional tension (stress, fear, doubt)

5. Competitive Landscape

  • Direct competitors: Same solution, same problem (e.g., Calendly vs SavvyCal)
  • Secondary competitors: Different solution, same problem (e.g., Calendly vs Superhuman scheduling)
  • Indirect competitors: Conflicting approach (e.g., Calendly vs personal assistant)
  • How each falls short for customers

6. Differentiation

  • Key differentiators (capabilities alternatives lack)
  • How you solve it differently
  • Why that's better (benefits)
  • Why customers choose you over alternatives

7. Objections & Anti-Personas

  • Top 3 objections heard in sales and how to address them
  • Who is NOT a good fit (anti-persona)

8. Switching Dynamics

The JTBD Four Forces:

  • Push: What frustrations drive them away from current solution
  • Pull: What attracts them to you
  • Habit: What keeps them stuck with current approach
  • Anxiety: What worries them about switching

9. Customer Language

  • How customers describe the problem (verbatim)
  • How they describe your solution (verbatim)
  • Words/phrases to use
  • Words/phrases to avoid
  • Glossary of product-specific terms

10. Brand Voice

  • Tone (professional, casual, playful, etc.)
  • Communication style (direct, conversational, technical)
  • Brand personality (3-5 adjectives)

11. Proof Points

  • Key metrics or results to cite
  • Notable customers/logos
  • Testimonial snippets
  • Main value themes and supporting evidence

12. Goals

  • Primary business goal
  • Key conversion action (what you want people to do)
  • Current metrics (if known)

Step 3: Create the Document

After gathering information, create .agents/product-marketing-context.md with this structure:

markdown
# Product Marketing Context

*Last updated: [date]*

## Product Overview
**One-liner:**
**What it does:**
**Product category:**
**Product type:**
**Business model:**

## Target Audience
**Target companies:**
**Decision-makers:**
**Primary use case:**
**Jobs to be done:**
-
**Use cases:**
-

## Personas
| Persona | Cares about | Challenge | Value we promise |
|---------|-------------|-----------|------------------|
| | | | |

## Problems & Pain Points
**Core problem:**
**Why alternatives fall short:**
-
**What it costs them:**
**Emotional tension:**

## Competitive Landscape
**Direct:** [Competitor] — falls short because...
**Secondary:** [Approach] — falls short because...
**Indirect:** [Alternative] — falls short because...

## Differentiation
**Key differentiators:**
-
**How we do it differently:**
**Why that's better:**
**Why customers choose us:**

## Objections
| Objection | Response |
|-----------|----------|
| | |

**Anti-persona:**

## Switching Dynamics
**Push:**
**Pull:**
**Habit:**
**Anxiety:**

## Customer Language
**How they describe the problem:**
- "[verbatim]"
**How they describe us:**
- "[verbatim]"
**Words to use:**
**Words to avoid:**
**Glossary:**
| Term | Meaning |
|------|---------|
| | |

## Brand Voice
**Tone:**
**Style:**
**Personality:**

## Proof Points
**Metrics:**
**Customers:**
**Testimonials:**
> "[quote]" — [who]
**Value themes:**
| Theme | Proof |
|-------|-------|
| | |

## Goals
**Business goal:**
**Conversion action:**
**Current metrics:**

Step 4: Confirm and Save

  • Show the completed document
  • Ask if anything needs adjustment
  • Save to .agents/product-marketing-context.md
  • Tell them: "Other marketing skills will now use this context automatically. Run /product-marketing-context anytime to update it."

Tips

  • Be specific: Ask "What's the #1 frustration that brings them to you?" not "What problem do they solve?"
  • Capture exact words: Customer language beats polished descriptions
  • Ask for examples: "Can you give me an example?" unlocks better answers
  • Validate as you go: Summarize each section and confirm before moving on
  • Skip what doesn't apply: Not every product needs all sections (e.g., Personas for B2C)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Product Marketing Context AI skill do?

When the user wants to create or update their product marketing context document. Also use when the user mentions 'product context,' 'marketing context,' 'set up context,' 'positioning,' 'who is my target audience,' 'describe my product,' 'ICP,' 'ideal customer profile,' or wants to avoid repeating foundational information across marketing tasks. Use this at the start of any new project before using other marketing skills — it creates `.agents/product-marketing-context.md` that all other skills reference for product, audience, and positioning context.

Why use Product Marketing Context on TypingMind?

Because you install it once and use it with any model. Product Marketing Context 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 Product Marketing Context in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Wide-Moat/open-computer-use/tree/main/skills/examples/product-marketing-context. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Product Marketing Context?

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 Product Marketing Context?

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

Is the Product Marketing Context AI skill free?

It is published on GitHub by Wide-Moat. 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.

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