Use cases

grekt solves different problems depending on your role and scale. These use cases walk through real-world scenarios with practical examples you can follow along.

For everyone

Use case	Summary
Multitool workflow	Use any combination of AI tools with a single source of truth
Publishing and sharing	Share your best agents, skills, and rules with the community
Composable artifact architecture	Split artifacts into consumer and maintainer layers for different audiences
Security first consumption	Scan and verify third party artifacts before they touch your codebase. Enforce thresholds in CI/CD to block risky artifacts

For teams

Use case	Summary
Team onboarding	Get every developer running with identical AI context in seconds
Context management at scale	Keep 20+ artifacts without polluting your AI tool's context
Private registry for enterprises	Use your own GitHub/GitLab infrastructure as a self-hosted artifact registry

For open source

Use case	Summary
Open source AI context	Ship AI context alongside your code so contributors are productive immediately