Fig Expert Packages and Skills

Most AI products start the same way for everyone.

You open a blank chat box. You explain who you are, what you are working on, what tools you use, what tone you want, what format you prefer, and what "good" looks like. Then you do it again in the next conversation.

Fig Expert Packages and Skills remove that repetition.

They let you customize Fig around the way you actually work. Instead of turning every conversation into a setup process, you can give Fig reusable expertise once and use it whenever it matters.

Expert Packages are your version of Fig

An Expert Package is a packaged version of Fig for a specific job, workflow, or domain.

Think of it like installing a focused workspace. A sales package can know how you qualify accounts. A marketing package can know your positioning and content style. A finance package can know your reporting format. A recruiting package can know how you evaluate candidates.

Each package can include the pieces Fig needs to behave like the right expert:

• Instructions for how to work

• Skills for repeatable workflows

• Connectors to the tools that matter

• Templates, examples, or reference files

• Output standards for reports, drafts, or analyses

The point is not to make Fig more complicated. It is to make Fig feel less generic.

You should not have to explain your company, role, and preferred format every time you ask for help. The package should carry that context for you.

Skills make expertise repeatable

Skills are the building blocks inside an Expert Package.

A Skill teaches Fig how to do a specific kind of work. It might define a workflow, a checklist, a writing style, a research process, a reporting template, or steps for using a connected tool.

For example, a customer research skill can teach Fig how to read interview notes, group feedback into themes, separate signal from one-off comments, and turn the result into a product memo.

A launch writing skill can teach Fig how to draft release posts in your company's voice, with the right length, structure, and examples.

This is what makes Skills different from one-off prompting. A prompt helps once. A Skill keeps working across conversations.

Build your own Fig experience

Different people need different versions of Fig.

A founder may want a package for investor updates, hiring, customer follow-ups, and weekly planning. A designer may want one for critique, user research, and Figma handoff. A product manager may want one for feedback synthesis, PRDs, launch planning, and roadmap reviews.

Same Fig. Different setup.

You can start with a package that already exists, or build your own around a workflow you repeat often. If you keep giving Fig the same instructions, that is usually a sign the instruction should become a Skill. If a set of Skills, connectors, and templates belong together, that is usually a sign they should become an Expert Package.

From blank chat to reusable expertise

The best AI assistant isn't the one with the cleverest prompt. It's the one that actually remembers how you work.

Expert Packages and Skills transform Fig from a generic tool into a personalized powerhouse. They turn repetitive setup into reusable systems, allowing teams to scale their best workflows without forcing every user to start from scratch.

With Fig, you're not just talking to a blank bot. You're building a library of experts you can shape, save, and deploy whenever you need them.

Pick a package. Add your Skills. Connect your tools.

Stop explaining how you work, and let Fig just do it.