M
marketing-ideas

marketing-ideas

coreyhaines31
2026-04-06

When the user needs marketing ideas, inspiration, or strategies for their SaaS or software product. Also use when the user asks for 'marketing ideas,' 'growth ideas,' 'how to market,' 'marketing strategies,' 'marketing tactics,' 'ways to promote,' 'ideas to grow,' 'what else can I try,' 'I don't know how to market this,' 'brainstorm marketing,' or 'what marketing should I do.' Use this as a starting point whenever someone is stuck or looking for inspiration on how to grow. For specific channel execution, see the relevant skill (paid-ads, social-content, email-sequence, etc.).


Introduction

This skill serves as a specialized marketing framework for AI, transforming it into a domain expert. It addresses the common challenge of users not knowing where to start or how to structure their marketing efforts by providing systematic, proven methodologies.

Core Concept

Leverage structured methodologies and pre-defined frameworks to generate actionable, context-aware marketing strategies and assets, moving beyond generic advice to tailored, practical solutions.

Installation and Usage Guide

https://github.com/coreyhaines31/marketingskills

Workflow Analysis (SOP)

Read original SKILL.md

  • Context First: Always checks for an existing .agents/product-marketing-context.md file to ensure advice is grounded in the specific product and audience.
  • Initial Assessment: Forces the AI to gather necessary context (goals, current state, audience) before making any recommendations.
  • Structured Frameworks: Applies specific mental models, templates, or categorical breakdowns to organize the output logically.

Skill Design Evaluation

  • Strengths of SOP Integration: Forces the AI to contextualize its advice by first checking for existing product marketing documentation. It provides a structured approach to delivering 3-5 highly relevant ideas rather than overwhelming the user.
  • Potential Limitations: The reliance on a predefined “library of 139 ideas” might limit the AI’s ability to generate truly novel or out-of-the-box strategies not covered in the original dataset.
  • What Makes a Good Skill: It explicitly instructs the AI to consider the user’s constraints (time, budget, team size) before suggesting tactics, ensuring recommendations are practical rather than purely theoretical.