Contexts 101

Manage and distribute organizational knowledge across AI tools, workflows, and teams.

What are contexts?

Contexts are reusable units of knowledge that provide guidance, instructions, documentation, and organizational expertise to humans and AI systems.

Your contexts act as the source of truth for information that needs to be shared consistently across multiple destinations.

A context can contain:

  • Product documentation
  • Engineering standards
  • Design guidelines
  • Team processes
  • Domain knowledge
  • Operating procedures
  • Custom instructions
Contexts intro

Why use contexts?

Teams often duplicate the same knowledge across documentation, prompts, AI assistants, and internal tools.

Contexts solve this by allowing teams to maintain information once and distribute it everywhere it is needed. Contexts allow you to:

  • Keep information consistent and reduce duplication across tools
  • Maintain knowledge and instructions more easily
  • Improve the quality of AI responses
  • Control the distribution of knowledge to appropriate teams

 

Types of contexts

Design system context

Connected to a design system. Distributes design system data alongside workspace knowledge like files and skills.

Workspace context

Not attached to any design system. Distributes workspace knowledge only — files and skills. Use it for team knowledge that isn’t tied to a design system.

Content type

Design system context

Workspace context

Documentation pages

Yes

Design tokens

Yes

Token themes

Yes

Assets

Yes

Code components

Yes

Figma components

Yes

Design system components

Yes

Files

Yes

Yes

Skills

Yes

Yes

 

Next steps to explore