AI Agents, Skills & MCPs — Explained Simply
March 12, 2026 • AI Agent World
| 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.
MCP = Model Context Protocol. Think of it as a universal adapter that lets Claude plug into external tools.
Without MCPs: Claude can only talk. With MCPs: Claude can check your calendar, draft emails, update your project board — all from one place.
Best for: Sensitive data, file access, database work
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 are reusable instructions saved as files. Think of them as recipes that Claude follows every time you need a specific task done.
"Create a brand brief" — Claude generates a formatted Word doc every time
"Build a weekly metrics report" — same structure, fresh data
"Review a PR and post summary to Slack" — multi-step automation
Skills turn one-time requests into repeatable, shareable, upgradeable capabilities.
Ask Claude to do something complex. Then say: "Save this as a skill." Claude writes a SKILL.md file with instructions, inputs, and steps.
Skills live in your project's .claude/ folder. Name them clearly: "generate-brand-brief", "weekly-report", "social-post-review".
Skills are just text files. Share them with teammates via Git, email, or copy-paste. Anyone with Claude Code can use them.
Refine your skill: "Add a section for competitor analysis." Claude updates the file. Version control with Git tracks every change.
Input: campaign name + goals + audience
Output: formatted brief with timeline, KPIs, messaging framework
Input: raw metrics data
Output: executive summary with charts, insights, and recommendations
Input: draft social media posts
Output: brand voice check, compliance flags, improvement suggestions
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 are autonomous workers that Claude can create to handle complex tasks. They work independently and report back.
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.
Claude automatically creates agents when a task is complex. You can also ask: "Use an agent to explore our codebase for all API endpoints."
Agents run in the background. Multiple agents can work in parallel — one researches, another drafts, a third reviews. You keep working.
Agents report their findings back to Claude, who combines results and presents them to you. You can ask follow-up questions or redirect.
"Find all mentions of our brand in the codebase"
"Create a landing page based on this wireframe"
Git tracks every change. If Claude makes a mistake, you can revert in one command. Think of it as "undo" for your entire project.
Claude shows you every change before applying it. Read the diff. If something looks wrong, say "no" or "undo that."
Create a .claudeignore file to tell Claude to never touch certain files — like credentials, API keys, or sensitive configs.
"Ask" mode (safest): Claude asks before every action. Start here. Graduate to "auto-accept" once you're comfortable.
Push your Git repository to GitHub. That's your cloud backup. Even if your laptop breaks, your code is safe online.
GitHub is where your code lives online. It's like Google Drive but for code — with version history built in.
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.
Open your terminal, run npm install -g @anthropic-ai/claude-code, then run claude and follow the setup prompts.
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.
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.
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.
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.
Let's talk about it.
You'll receive a detailed setup guide
to get Claude Code running on your own device.
docs.anthropic.com • github.com/anthropics/claude-code