Yesterday a clever build shipped that completely rethinks how we handle marketing workflows.
Step 2 is the twist that makes it scalable.
We all know the feeling of being stretched thin, juggling too many channels and deliverables with zero time to spare. I just watched a breakdown from this talented creator that solves this by building a dedicated AI marketing team using Claude Skills. It’s not just about asking a chatbot to write a tweet; it’s about encoding your actual expertise into the system so it runs autonomously.
What’s New: The Skill Library
The core concept here is shifting from simple prompting to building a library of “Skills.” Everyone talks about AI agents, but an agent is just a worker bee. To be useful, that worker needs expertise. The expert explains that “Skills” are essentially your standard operating procedures (SOPs), frameworks, and brand standards packaged in a way that Claude can execute reliably every time.
The author demonstrated how to build five specific skills that form the foundation of a robust marketing team: Research and Strategy, Content Creation, Creative Design, Data Analysis, and Campaign Presentation. Instead of typing out a massive prompt for every task, you build the skill once. For example, the Research skill doesn’t just “search the web.” It uses the Perplexity MCP (Model Context Protocol) to conduct deep research and then formats a strategy brief based on a specific file in your SOP folder.
This setup requires a specific project structure. The creator showed a folder named “Simple Home” (the test brand) containing a context file. This file holds everything about the brand—products, audience, and voice. There is also a claude.md file, which acts as a custom instruction set for the project. When you combine the brand context with the specific Skill file, Claude stops guessing and starts acting like a trained employee.
The Twist: Orchestration and Sub-Agents
Here is where things get really interesting. You don’t actually have to manually trigger these skills one by one. The savvy professional showed that Claude can act as a team lead. When given a complex objective, like “create a campaign launch,” Claude analyzes the request and automatically pulls the necessary skills from the library.
For instance, in the demo, the creator asked for social posts and matching visuals. Claude recognized it needed the Social Media Content skill (which uses a storytelling framework) and the Creative Designer skill (which uses the Nano Banana model for image generation). It didn’t need to be told how to split the work; it just executed both skills and saved the files into a new folder.
It goes even deeper with sub-agents. For a massive task like a quarterly review, the author asked Claude to handle it. Claude spun up three parallel sub-agents. Agent A used the Research skill. Agent B used the Data Analysis skill to build a dashboard. Agent C waited for the results and used the Presenter skill to build a slide deck. This parallel processing is a massive leap forward in efficiency.
Step-by-Step Mini-Workflow
If you want to replicate this setup, here is the workflow the industry pro mapped out:
- Context Foundation: Start by creating a project folder. Inside, place a context.md file containing your brand’s mission, audience data, and product details. Add a claude.md file to guide how the AI navigates your folders.
- Define the SOP: Don’t write code yet. Have a document ready that explains exactly how you do a task (e.g., your specific storytelling framework or research methodology).
- Generate the Skill: Open Claude Code (or Cowork). Point it to your SOP document and ask it to “create a new skill” based on that file. The creator used a prompt asking Claude to read the SOP and the context, then write a skill file that utilizes tools like Perplexity or Nano Banana.
- Test and Refine: Once the skill is created, run a test. For the design skill, the author included default style and color palette instructions directly in the skill definition. This ensures every image generated remains on-brand without needing a new style prompt each time.
- Orchestrate: Once you have multiple skills, give Claude a high-level command. Watch as it assigns tasks to different skills, effectively acting as a project manager coordinating a writer, a researcher, and a designer.
Pro Tips for Power Users
The innovator behind this build shared a few critical insights for getting this right.
First, always use examples. When building the Social Media Content skill, the creator didn’t just describe the framework; they provided a file with past high-performing posts. Claude analyzed the patterns to understand why they worked, embedding that nuance into the skill.
Second, consider portability. The author showed how to bundle these skills into a “Plugin.” This means if you run an agency or manage multiple brands, you can package your “Marketing Team” plugin and install it into a new client’s project folder. It immediately adapts the skills to the new client’s context.md file. You build the logic once and deploy it everywhere.
Finally, understand the difference between Sub-Agents and Agent Teams. Sub-agents (used in the quarterly review example) work in parallel and report back to the main user. This is efficient for most tasks. “Agent Teams” are different: they can talk to each other and debate strategy before reporting back. The creator noted that while powerful, Agent Teams burn through significantly more tokens, so sticking to sub-agents is usually the smarter move for standard workflows.
Check the source link for the full breakdown! ⬇️