𝗧𝗵𝗲 𝗺𝗼𝘀𝘁 𝗰𝗼𝗺𝗺𝗼𝗻 𝘀𝘁𝗿𝘂𝗴𝗴𝗹𝗲 𝗜 𝘀𝗲𝗲 𝘄𝗶𝘁𝗵 𝗔𝗜 agents 𝗶𝘀 𝘀𝗲𝘁𝘁𝗶𝗻𝗴 𝘂𝗽 𝘁𝗵𝗲 𝘁𝗼𝗼𝗹, 𝘁𝗵𝗲𝗻 𝗯𝗲𝗶𝗻𝗴 𝗰𝗼𝗻𝗳𝘂𝘀𝗲𝗱 𝘄𝗵𝗲𝗻 𝗶𝘁 𝗱𝗼𝗲𝘀𝗻’𝘁 𝗱𝗼 𝘄𝗵𝗮𝘁 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁.
Read a LinkedIn post or watch a few carefully staged YouTube demos and I wouldn’t blame you for thinking AI agents just work. That 𝘵𝘩𝘦𝘺 just instinctively know what you need and how you need it.
They do not.
So you find yourself either hopping around from tool to tool trying to get the results you were promised, or working twice as hard as everyone else seems to be, to get the same results.
The difference between AI working and actually being useful comes down to knowing the difference between Agents, Plugins, and Skills and how these 3 main pieces fit together on the platform you’re using.
What is an AI Agent?
An AI agent is the thing that actually does the work. The AI engine itself.
An AI agent uses skills, calls plugins, makes decisions, and produces a result. It is the cook in the kitchen.
𝗘𝘅𝗮𝗺𝗽𝗹𝗲: It’s the agent that reads your inbox, drafts replies, and files what’s done. Depending on the platform you either have one agent or multiple agents.
For instance,
- Claude Cowork is one agent that lets you silo tasks and projects.
- Openclaw lets you build multiple agents that you can “program” for specific tasks, workflows or processes.
What is an AI Plugin?
A plugin is a connector. It lets one tool talk to another. Think of it as the wiring. A plugin by itself does not do anything. It just opens a door so your AI agent can walk through.
𝗘𝘅𝗮𝗺𝗽𝗹𝗲: The thing that connects your AI agent to your Gmail account is a plugin.
What is an AI skill?
An AI skill provides a set of specific instructions to your AI agent. It tells the agent how to do a task well. Write a LinkedIn post. Format a report. A skill is the recipe that shows your AI agent exactly how to do it.
𝘼 𝙘𝙪𝙨𝙩𝙤𝙢 𝙨𝙠𝙞𝙡𝙡 is the recipe that shows your AI exactly how 𝙔𝙊𝙐 want it done.
𝗘𝘅𝗮𝗺𝗽𝗹𝗲 𝟭: When your AI agent knows how to write a LinkedIn post, that’s a skill. Generic skills work the same for everyone.
𝗘𝘅𝗮𝗺𝗽𝗹𝗲 𝟮 : When your AI agent knows how to write a LinkedIn post for your target audience, using your brand’s voice, and positioning, 𝙩𝙝𝙖𝙩’𝙨 𝙖 𝙘𝙪𝙨𝙩𝙤𝙢 𝙨𝙠𝙞𝙡𝙡.
Knowing the difference matters because each piece solves a different problem.
- If your AI agent is producing generic nonsense, you need a custom skill.
- If your AI agent can’t reach your data, you need a plugin or custom configuration.
- If your AI agent just sitting there waiting for instructions, you need to give it the right instructions to actually run.
The results you want are all about knowing which piece you’re missing, and how to make it all work together. .
AI Integration Consultant | Agentic Automation | Sec+ CySA+
🤖 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗻𝗱 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 𝗮𝗿𝗲 𝘄𝗮𝘀𝘁𝗶𝗻𝗴 𝘁𝗶𝗺𝗲 𝗮𝗻𝗱 𝗺𝗼𝗻𝗲𝘆 𝗼𝗻 𝗔𝗜 𝘁𝗼𝗼𝗹𝘀 𝗯𝘂𝘁 𝗮𝗿𝗲𝗻’𝘁 𝗴𝗲𝘁𝘁𝗶𝗻𝗴 𝗮𝗻𝘆𝘄𝗵𝗲𝗿𝗲, 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽. 👈
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