Building a One-Person Marketing Team with Claude Code & Higgsfield

Nate Herk | AI Automationgo watch the original →

Leverage Claude Code as a project-based agent to manage brand assets, generate marketing content, and automate workflows by connecting it to the Higgsfield MCP server.

Establishing the Agentic Marketing Foundation

To transform Claude into a functional marketing team, the process begins by moving away from ephemeral chat sessions toward a project-based directory structure using Claude Code. This allows the model to maintain persistent context, reference local brand assets, and follow a defined set of instructions (the claude.md file) that act as the project's "operating system."

The Three Ps Framework

Before generating assets, the user must define the business core using the "Three Ps": Pain, Person, and Promise. This framework prevents the output from becoming generic "AI slop" by grounding every creative decision in a specific customer avatar and a clear value proposition. This context is fed into the project via markdown files, which the agent references before executing any task.

Integrating External Capabilities via MCP

While Claude handles the strategy and orchestration, it lacks native high-end video and image generation. This is solved by connecting the Higgsfield Model Context Protocol (MCP) server. By adding the Higgsfield connector, Claude gains the ability to trigger specific AI models (like Flux, Cling, or GPT-4o image generation) directly from the command line. The agent handles the prompting and UI navigation, effectively abstracting the complexity of the underlying tools.

Scaling with Reusable Skills

Efficiency is achieved through "Skills"—reusable markdown-based recipes or workflows. For example, a "Grill Me" skill acts as an iterative interview process where the agent relentlessly questions the user to extract every detail about a product until it achieves a deep, shared understanding. These skills ensure that whether the output is a UGC ad, a website, or a carousel, the brand voice and quality remain consistent across all deliverables.

Managing the Workflow

  1. Setup: Create a local directory and initialize it with a claude.md file containing business context.
  2. Context Injection: Populate the project with brand guidelines, logos, and product shots.
  3. Connector Setup: Install the Higgsfield MCP server to enable multi-model generation (video, image, text).
  4. Execution: Use natural language to request assets (e.g., "Create a website using Scroll World" or "Generate a UGC-style ad").
  5. QA: Review outputs and provide feedback to the agent to refine future iterations.
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summary by google/gemini-3.1-flash-lite. probably wrong about something. check the source.