Skills, plugins, apps, connectors, MCPs, agents - anyone else getting a bit lost?
Some paths are emerging popular, but in a lot of cases we’re still not sure even these are the long term paths that will remain. It doesn’t help that there’s not a good taxonomy (that I’m aware of) to define and organize the different approaches out there. “Agent” for example is a highly overloaded term that means a lot of things and even in this space, agents mean different things to different groups.
For LLMs, we're just about at the stage where we've realized we can jam a sharp thing in the spinny part and use it to cut things. The race is on not only to improve the motors (models) themselves, but to invent ways of holding and manipulating and taking advantage of this fundamental thing that feel so natural that they seem obvious in hindsight.
Tools are useful so the AI can execute commands, but beyond that it's just ways to help you build the context for your prompt. Either pulling in premade prompts that provides certain instructions or documentation, or providing more specialized tools for the model to use along with instructions on using those tools.