Why do I need a product marketing context file?

It acts as a 'shared memory' for AI agents, preventing you from having to repeat foundational info like target audience or pain points every time you generate marketing content.

Where is the marketing context data stored?

All information is saved locally within your repository at `.agents/product-marketing-context.md` for easy version control and accessibility.

How do other skills use this context?

Other marketing-focused Claude skills are programmed to look for this specific file to ensure the copy or strategy they generate is aligned with your defined brand and audience.

Can it extract information from my existing code?

Yes, the skill can scan your README, package.json, and landing page copy to auto-draft a first version of your marketing context.

Can I update the context as my product evolves?

Absolutely. You can run the skill at any time to update specific sections or refresh the entire document to reflect your current business goals.

Product Marketing Context

Name: Product Marketing Context
Author: Tako3832

byTako3832

0•

Marketing Automation

Establishes and maintains a centralized source of truth for product positioning, target audience, and messaging context within your repository.

This skill creates a comprehensive product marketing foundation that serves as a shared memory for all marketing-related tasks. By either analyzing your codebase (READMEs, landing pages, package.json) or guiding you through a conversational framework, it captures high-fidelity details such as Ideal Customer Profiles (ICP), competitive differentiation, and brand voice. The resulting document, stored at `.agents/product-marketing-context.md`, ensures that Claude and other specialized agents have instant access to consistent information, eliminating the need to repeat foundational details for every new campaign, email, or copy request.

Key Features

01Guides users through structured sections including JTBD, Personas, and Switching Dynamics.

02Captures verbatim customer language to ensure authentic and resonant marketing copy.

03Auto-drafts marketing context by scanning existing repository documentation and code.

04Provides a referenceable 'source of truth' for all other marketing-specific AI skills.

05Standardizes brand voice and competitive landscape analysis in a single local file.

060 GitHub stars

Use Cases

01Ensuring AI-generated content remains consistent with brand voice across different tasks.

02Initializing a new project with clear marketing and positioning goals.

03Updating product positioning and ICP definitions as a startup scales or pivots.

Key Features

01Guides users through structured sections including JTBD, Personas, and Switching Dynamics.

02Captures verbatim customer language to ensure authentic and resonant marketing copy.

03Auto-drafts marketing context by scanning existing repository documentation and code.

04Provides a referenceable 'source of truth' for all other marketing-specific AI skills.

05Standardizes brand voice and competitive landscape analysis in a single local file.

060 GitHub stars

Use Cases

01Ensuring AI-generated content remains consistent with brand voice across different tasks.

02Initializing a new project with clear marketing and positioning goals.

03Updating product positioning and ICP definitions as a startup scales or pivots.