Skill

Equip AI agents with product marketing context and workflows

Create a reusable product marketing context document with positioning, audience, customer pains, differentiation, objections, voice, proof, and goals.

Works with claudeopenaicursorwindsurf

69
Spark score
out of 100
Updated last month
Source checked Sep 26, 2026
Version 18.5.0

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Why it matters

Enable AI coding agents to execute marketing tasks with consistent product positioning, audience understanding, and brand voice by providing a foundational product-marketing context that all other marketing skills reference before performing copywriting, SEO, conversion optimization, or growth tasks.

Outcomes

What it gets done

01

Store and surface product positioning, target audience, and value props for all marketing tasks

02

Provide foundational context that 25+ specialized marketing skills check before executing

03

Enable AI agents to write on-brand copy across landing pages, emails, ads, and content

04

Maintain consistent messaging across conversion optimization, SEO, and growth experiments

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-product-marketing | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

A structured workflow for drafting and maintaining product positioning and messaging context from repository materials or user input. Use when setting up product context for marketing work or updating an existing positioning document.

What it does

Product Marketing Context helps a team create or update a shared document with the product information that other marketing skills can reuse. It captures positioning and messaging foundations so a user does not have to repeat them in every task. The document is stored at .agents/product-marketing.md. The workflow first checks for an existing canonical file and older context filenames, then either updates relevant sections or drafts a new document from the product codebase and existing materials.

The context covers product overview, target audience, buyer personas for business products, customer problems, competitive landscape, differentiation, objections and anti-personas, switching dynamics, customer language, brand voice, proof points, and goals. It is designed to preserve concrete customer wording and evidence rather than replace them with generic marketing language.

When to use - and when NOT to

Use this skill when creating or maintaining the product marketing context file that other marketing workflows will reference. It is useful when a team needs a consistent description of its product, audience, value, alternatives, voice, and proof points. It can start from a codebase and current marketing materials or proceed through a guided conversation when the user prefers to supply the context directly.

The workflow is not a license to invent positioning, customer quotations, metrics, competitors, or testimonials. It prompts the user for details and recommends confirming each section. If the product is business-to-consumer or has no multi-stakeholder buying process, the persona section can be skipped or adapted. Sections that do not apply need not be forced into the document.

Inputs and outputs

For an automatic draft, inspect the repository README, landing pages, marketing copy, about pages, metadata, and package.json, along with any existing context document. For a guided draft, gather the product overview, target companies and decision makers, use cases, jobs to be done, pain points, alternatives, differentiators, objections, switching concerns, customer language, brand voice, proof, and business goals. For multiple business stakeholders, capture the user, champion, decision maker, financial buyer, and technical influencer where relevant.

The output is a Markdown document at .agents/product-marketing.md with sections for product overview, audience, personas, problems, competition, differentiation, objections, switching dynamics, customer language, voice, proof points, and goals. The workflow shows the completed draft, asks what needs adjustment, saves the agreed content, and tells the user that other marketing skills can use it. It also supports updating only selected sections of an existing document and offers to move legacy files to the canonical location.

Integrations

The skill coordinates with other marketing skills by storing context in .agents/product-marketing.md. It checks both the agent's local skill directory and the legacy product-marketing-context.md filename when searching for prior context. Its automatic drafting workflow can read repository content such as README files, landing pages, marketing copy, about pages, and package.json. It does not specify an external marketing platform integration.

Who it's for

This skill is for founders, product marketers, and teams who want a durable source of product positioning and messaging context. It is especially useful when multiple marketing tasks or skills repeatedly need the same product details. The process encourages specific questions, examples, verbatim customer language, and validation as each section is drafted.

A useful context document should distinguish direct competitors, secondary alternatives, and indirect approaches, and record why each falls short for the customer. It can describe switching forces as push, pull, habit, and anxiety. Proof points may include metrics, customers, testimonials, or evidence for value themes, but should only be added when they are available. The document can then be updated as product facts or market understanding change.

FAQ

Common questions

Discussion

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