Preface

In AI agent development, developers are often skilled at writing code but may struggle with decisions about “how to market.” Most skills provide tactical templates rather than decision frameworks. When an agent needs to judge whether to “execute X to obtain Y,” “where to get the first customer,” or “whether an idea is worth pursuing,” tactics alone cannot answer these questions. Marketing Mindset is designed to fill this gap by encapsulating the mental model of an experienced B2B marketing decision-maker.

Core Features

The plugin gives AI agents a marketing operating system, rather than a collection of disjointed tactics. It includes the following core capabilities:

  • Marketing decision framework: Teaches the AI how to make decisions like an experienced marketer.
  • Timeline setting: Focuses on short-term planning over a three-month period rather than long-term cycles.
  • Testing and quantification: Defines minimum test volumes to avoid misjudging the market before reaching a threshold.
  • Scaling strategy: Follows the principle of “do the easy things first,” prioritizing the scaling of channels that perform well.
  • Competitor analysis: Uses competitors as a source of facts rather than blindly imitating them.
  • Outreach strategy: Provides three clear angles for external promotion.
  • Positioning optimization: Helps the agent formulate clearer positioning.

Installation and Enablement

To install the plugin in a DeepSeek Harness environment, use the official command:

dsh plugin --profile <name> add github:axelfreeman/marketing-mindset

Note: DeepSeek (V3 / Flash) models have been verified to correctly load this plugin via SKILL.lite.md.

Typical Usage

After installation, you can directly ask the agent in a conversation for the following types of requests to obtain concrete decision outputs:

  • “How should I do marketing?”
  • “Where should I get my first customer?”
  • “Is this idea worth pursuing?”
  • “Review the demo transcript” — to get a complete planning example.
  • Run the Python script: python scripts/first-client-gate.py — this is a pre-check script used to confirm whether the user already has a first customer.

Applicable Scenarios and Notes

This plugin is suitable for the following people or scenarios:

  • Developers and independent hackers: Skilled at writing code but finding customer acquisition difficult.
  • Founders and product managers: Need to validate ideas or formulate early customer acquisition strategies.
  • Agencies and CMOs: Encode decision logic for junior team members.

Important principles:
* Marketing runs ahead of the product: Before building the product, a landing page should be built first.
* Marketing is never free: All marketing actions must be based on value exchange and cannot be treated as free tactics.
* Not a tactical mishmash: It is not a collection of CRO, SEO, or copywriting techniques, but a set of decision logic.

Short Ending

The Marketing Mindset plugin injects decision-making thinking into AI agents, enabling them to provide principle-based rather than template-based marketing advice. For developers who need to build customer acquisition strategies from scratch, this is a practical auxiliary tool. For detailed documentation and demos, refer to the project directory or the GitHub repository.