Hire AI agents that produce on-brand assets, resize and export at scale, and keep your files organized, right inside Slack, Figma, and the rest of your stack, so you spend your time on the ideas.
Design teams hand off real work to Skydive agents, right in the tools they already use.
Your design agents work across Figma, Slack, Google Drive, and Webflow, logging in and navigating the way you would.
Tell an agent what you need, let it take care of the rest. Build out your entire team the same way.
Describe what you need and Skydive builds an agent around it. No prompt engineering, no plugin to configure. You're the designer, not the engineer.
You don't get one assistant. You get a crew of agents, each with its own role, that hand off to each other and share context, so producing an asset, resizing it, and filing it moves without you coordinating every step.
Point it at your brand guidelines and connect Figma and Drive, and your agents get to work. Onboarding takes minutes, not weeks, and every brand correction you make sticks.
We don't just build Skydive, we run our company on it. Our team puts agents to work every day (they even helped build this page).
"Skydive truly transforms your entire company by automating all of the tedious tasks that consume so much of your day"
Minutes. Describe the outcome you need, connect your tools like Figma, Slack, and Drive, and your agents start working. Pre-built templates for asset production, resizing, brand QA, and file hygiene are ready from day one. No workflow to build, no prompt engineering, no canvas to construct.
Figma, Slack, Google Drive, and Webflow, plus Notion, Gmail, and more. If your stack includes custom or internal systems, MCP support lets your agents connect to them without waiting for a pre-built integration.
Yes. Point an agent at your brand guidelines and it produces and checks work against them. When you correct a color, a font, or a crop, that feedback sticks, so the agent gets more on brand the longer it works with you.
Yes. Anyone on the team can create agents, and permissions control who can view, use, or edit each one. A useful agent set up to handle one problem becomes part of how the whole team handles it from then on.
You correct it once, and it remembers. If it exports the wrong size or misreads your file convention, your feedback sticks. Your agents learn from corrections and get sharper the longer they work with you, so the judgment you build into them carries across conversations and the whole team.
Your agents log into your existing tools using your credentials, and your files stay in your systems. Secrets are encrypted, permissions are scoped per agent, and your data may be used to improve our models unless you opt out.
