Building a full AI marketing team just got real

Sub-agents for heavy tasks

February 22, 2026

Last year I hit a week where every channel needed something, every stakeholder wanted it “ASAP,” and I was running on fumes. I kept thinking the fix was better time management. Then I watched a breakdown from this talented creator and realized I was solving the wrong problem. Prompts are fine, but prompts do not scale. The bold move is to treat AI like a team you train, not a tool you poke. If you can write an SOP, you can turn that know-how into a reliable workflow that runs with less supervision.

The core shift is from one-off prompting to a library of reusable “Skills.” In this creator’s framing, Skills are your SOPs, frameworks, and brand standards packaged so Claude can execute them consistently.

They built five Skills that mirror a real marketing team: Research and Strategy, Content Creation, Creative Design, Data Analysis, and Campaign Presentation. You build each Skill once, then reuse it instead of rewriting giant prompts. In their example, the Research Skill uses Perplexity MCP for deep research and then outputs a strategy brief in the exact format stored in an SOP file.

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The Project Setup That Makes It Work
This approach depends on giving the AI a clear “home.” The creator used a test brand folder called “Simple Home,” with a context file that holds products, audience, and voice. A claude.md file acts like project-level instructions for how the AI should navigate folders and behave.

When you combine brand context plus a specific Skill file, Claude stops guessing and starts acting like a trained employee. Start small and name files clearly.

The Twist: Orchestration and Sub-Agents
You do not have to trigger Skills one by one. Claude can act as a team lead, read a goal like “create a campaign launch,” and pull the right Skills from the library. That is orchestration.

In the demo, the creator asked for social posts and matching visuals. Claude selected the Social Media Content Skill (storytelling framework) and the Creative Designer Skill (Nano Banana image generation), ran both, and saved the files into a new folder.

For heavier work, they used sub-agents. A quarterly review became parallel tracks: one agent researched, one built a dashboard via the Data Analysis Skill, and a third assembled the slide deck with the Presenter Skill.

Step-by-Step Mini-Workflow

  • Context foundation: Create a project folder with context.md (mission, audience, product details) and claude.md (navigation and behavior rules).

  • Define the SOP: Write the process in plain language first, like your research method or storytelling framework.

  • Generate the Skill: In Claude Code or Cowork, point to the SOP and ask it to create a Skill file that uses your tools, like Perplexity or Nano Banana.

  • Test and refine: Run a small task and tighten defaults, especially design style rules so outputs stay on-brand.

  • Orchestrate: Give a high-level command and let Claude assign work across Skills like a project manager.

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Pro Tips for Power Users
Use examples, not vague descriptions. The creator fed past high-performing posts into the Social Media Skill so Claude could learn pacing, tone, and what “good” looks like for that brand.

Think about portability. They bundled Skills into a “Plugin,” so the same Marketing Team can be installed into a new client folder and adapt to that client’s context.md.

Finally, know when to use sub-agents vs agent teams. Sub-agents run in parallel and report back efficiently. Agent teams can debate strategy, but they burn far more tokens, so save them for decisions that truly need debate.

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