Claude Code for Marketing Teams

Claude Code
for Marketing Teams

AI Agents, Skills & MCPs — Explained Simply

March 12, 2026  •  AI Agent World

01

What We'll Cover

  1. Chatbot vs. Assistant vs. Agent
    Understanding the AI landscape
  2. MCPs — What Are They?
    Connecting AI to the real world
  3. Skills — Create, Save, Download, Upgrade
    Reusable superpowers for your workflow
  4. Agents — Create, Run, Communicate
    Autonomous workers at your fingertips
  5. Staying Safe — Data, GitHub & Best Practices
    Protecting your work and your data

Chatbot vs. Assistant vs. Agent

Chatbot Assistant Agent
What it does Answers questions Answers + follows instructions Plans, decides, and acts on its own
Memory Remembers within a chat Remembers your conversation Remembers + learns your project
Can take action? No — just talks Limited — with your help Yes — edits files, runs code, commits
Marketing analogy FAQ page Smart inbox assistant Freelancer who does the work

Claude Code is an agent. It doesn't just answer — it reads your project, makes changes, and verifies the result.

MCPs — What Are They?

MCP = Model Context Protocol. Think of it as a universal adapter that lets Claude plug into external tools.

🤖
Claude Code
Your AI agent
MCP
📅
Google Calendar
Schedule meetings
MCP
📧
Gmail
Read & send emails
MCP
📋
Notion
Manage docs & tasks

Without MCPs: Claude can only talk. With MCPs: Claude can check your calendar, draft emails, update your project board — all from one place.

MCP Hosting: Local vs. Cloud

💻

Local MCP Servers

  • Run on your computer
  • Your data stays on your machine
  • You control updates and access
  • Must keep your computer running

Best for: Sensitive data, file access, database work

☁️

Cloud / Remote MCP Servers

  • Run on an external server
  • Available 24/7, no setup needed
  • Managed by a third party
  • Data travels over the internet

Best for: Team-shared tools, SaaS integrations, always-on bots

Rule of thumb: If the data is sensitive, host locally. If you need it running all the time or for a team, consider cloud.

Skills — What Are They?

Skills are reusable instructions saved as files. Think of them as recipes that Claude follows every time you need a specific task done.

📑

Documents

"Create a brand brief" — Claude generates a formatted Word doc every time

📊

Reports

"Build a weekly metrics report" — same structure, fresh data

🚀

Workflows

"Review a PR and post summary to Slack" — multi-step automation

Skills turn one-time requests into repeatable, shareable, upgradeable capabilities.

Skills: Create, Save, Download, Upgrade

1

Create a Skill

Ask Claude to do something complex. Then say: "Save this as a skill." Claude writes a SKILL.md file with instructions, inputs, and steps.

2

Save & Organize

Skills live in your project's .claude/ folder. Name them clearly: "generate-brand-brief", "weekly-report", "social-post-review".

3

Download & Share

Skills are just text files. Share them with teammates via Git, email, or copy-paste. Anyone with Claude Code can use them.

4

Upgrade Over Time

Refine your skill: "Add a section for competitor analysis." Claude updates the file. Version control with Git tracks every change.

Skills in Action — Marketing Examples

📝 Campaign Brief Generator

Input: campaign name + goals + audience

Output: formatted brief with timeline, KPIs, messaging framework

📈 Performance Report Builder

Input: raw metrics data

Output: executive summary with charts, insights, and recommendations

💬 Social Post Reviewer

Input: draft social media posts

Output: brand voice check, compliance flags, improvement suggestions

📧 Email Template Factory

Input: campaign type + segment

Output: subject lines, preview text, body copy with A/B variants

Build once, use forever. Each skill gets better as you refine it.

Agents — What Are They?

Agents are autonomous workers that Claude can create to handle complex tasks. They work independently and report back.

👤
You
Give a task:
"Research competitors"
🤖
Claude
Breaks it down,
spawns agents
👥
Agents
Work in parallel
on sub-tasks
Results
Combined into a
final deliverable

Think of agents like interns: you give them a clear task, they go do the work, and come back with results. Claude manages the team.

Agents: Create, Run & Communicate

1

Create an Agent

Claude automatically creates agents when a task is complex. You can also ask: "Use an agent to explore our codebase for all API endpoints."

2

Run Agents

Agents run in the background. Multiple agents can work in parallel — one researches, another drafts, a third reviews. You keep working.

3

Communicate with Agents

Agents report their findings back to Claude, who combines results and presents them to you. You can ask follow-up questions or redirect.

🔍 Research Agent

"Find all mentions of our brand in the codebase"

🛠 Builder Agent

"Create a landing page based on this wireframe"

How to Not Lose Your Data

1

Use Git — Always

Git tracks every change. If Claude makes a mistake, you can revert in one command. Think of it as "undo" for your entire project.

2

Review Before Accepting

Claude shows you every change before applying it. Read the diff. If something looks wrong, say "no" or "undo that."

3

Use .claudeignore

Create a .claudeignore file to tell Claude to never touch certain files — like credentials, API keys, or sensitive configs.

4

Permission Modes

"Ask" mode (safest): Claude asks before every action. Start here. Graduate to "auto-accept" once you're comfortable.

5

Back Up Regularly

Push your Git repository to GitHub. That's your cloud backup. Even if your laptop breaks, your code is safe online.

GitHub in 60 Seconds

GitHub is where your code lives online. It's like Google Drive but for code — with version history built in.

💻
Your Computer
Where you work
on files locally
📦
Git Commit
Save a snapshot
of your changes
☁️
GitHub Push
Upload to the
cloud (backup!)

Creating a Repository

  • 1. Go to github.com → "New repository"
  • 2. Name it, click Create
  • 3. Follow the setup instructions

Uploading Your Code

  • 1. Claude can do this for you!
  • 2. Ask: "Commit and push to GitHub"
  • 3. Or use /commit in Claude Code

Do's and Don'ts

DO

  • Start with small, clear requests
  • Review every change before accepting
  • Use Git to track and revert changes
  • Create a CLAUDE.md for project context
  • Save useful workflows as skills
  • Use /compact during long sessions
  • Push your code to GitHub as backup

DON'T

  • Share your API key with anyone
  • Accept all changes without reading them
  • Paste passwords or secrets into the chat
  • Use "full auto" mode as a beginner
  • Ignore permission prompts
  • Work without Git (no undo = risk!)
  • Skip cost monitoring (/cost)

Your Mission This Week

Complete these four steps before our next session. By the end, you'll have a working agent — and we'll compare everyone's approach to build a better one together.

1
Install Claude Code

Open your terminal, run npm install -g @anthropic-ai/claude-code, then run claude and follow the setup prompts.

2
Launch It Through the Terminal

Navigate to a project folder (or create a new one) and run claude. Have a conversation — ask it to explain the folder, create a file, anything. Get comfortable.

3
Create a Remote Session

Run claude --remote to get a shareable link. Open it on your phone or tablet — now you can talk to Claude from anywhere, even on the go.

4
Build a Brand Research Agent

Create an agent that takes a brand name and produces a research dashboard. Design the workflow yourself — what steps, what data, what format? Your thought process is the product.

Why this matters

Everyone's agent will follow a different thought process. We'll compare approaches, find what works best, and combine the best pieces into one ultimate brand research agent — built by the whole team.

Questions?

Let's talk about it.

You'll receive a detailed setup guide
to get Claude Code running on your own device.

Launch With Us