Plugins are skill packs that expand what your AI can do
Install a plugin once and get a whole collection of new capabilities -- brainstorming, deployment, testing, design, and more.
The AI comes with solid built-in abilities, but plugins take it much further. Each plugin is a bundle of related skills. One plugin might add brainstorming, testing, and code review. Another might add deployment, quality checks, and design tools. You install a plugin once, and its skills are available in every session from that point on.
Building everything from scratch is slow. Plugins give you workflows that other people have already refined. Instead of writing your own instructions for how to brainstorm, deploy, or run a quality check, you install a plugin that already knows how to do it well. You benefit from someone else's experience without doing the groundwork yourself.
Installing a plugin takes one command. Once installed, you can see all the skills it added and start using them right away.
Some plugins I rely on daily: one adds brainstorming, test-driven development, careful debugging, and code review. Another adds deployment, quality assurance, web browsing, and design workflows. A third switches the AI into a compact response mode that wastes fewer words.
Plugins update over time with new skills and improvements. Check for updates occasionally to get the latest additions.
Install plugins at the project level if the skills are specific to one project. Install them globally if you want them available everywhere.
When you find yourself explaining the same kind of workflow over and over. If three sessions in a row start with the same set of instructions, there is probably a plugin that already packages that workflow -- or it is time to create one.
Product leader shipping across enterprise SaaS, AI in production, and 0→1. Writing about what actually ships — not what sounds good in a deck.