Enterprise Edition

Enterprise workspace, governance, registry, role-based access, analytics, and AI context management capabilities.

Enterprise Edition

Enterprise Edition is for organizations that want centralized AI context governance across teams, projects, and engineering divisions.

Workspace and project hierarchy

Recommended hierarchy:

Account
  Workspace
    Team Members
    Projects
      Context Packs
        Skills
        Rules
        Domain Context
        Agents
        Prompts
        Instructions

Enterprise features

Shared workspaces

Create multiple workspaces for engineering groups, clients, agencies, or departments.

Team member access

Invite team members and grant access by workspace, project, or role.

Project-scoped context

Attach context packs to projects so developers install only the relevant context.

Review and approval workflow

Use governance to control what becomes installable:

Draft → In Review → Approved → Published

Private registry

Keep internal context packs private to your organization.

CLI authentication

Use registry tokens for private or workspace-only context packs:

AI_SKILL_TOKEN=YOUR_TOKEN ai-skill install internal-react-rules

Version history

Track published versions, changelog, and installable release state.

Role-based access control

Suggested roles:

  • Owner
  • Admin
  • Engineering Manager
  • Architect
  • Maintainer
  • Developer
  • Reviewer
  • Viewer

Audit and compliance

Track:

  • Who created a context pack
  • Who edited files
  • Who approved
  • Who published
  • Which version was installed

Analytics

Future analytics can include:

  • Context pack usage
  • Downloads
  • CLI installs
  • Team adoption
  • Token impact
  • Model-aware context efficiency
  • Most reused skills and rules

Custom adapters

Enterprise teams can define target-specific output for internal tools, custom agents, or platform-specific AI workflows.

Enterprise use cases

  • Engineering standards registry
  • Frontend architecture guardrails
  • Backend API implementation rules
  • Secure SDLC guidance
  • Domain-specific product knowledge
  • Client/project onboarding packs
  • AI-assisted code review standards
  • Migration playbooks
  • QA and testing generation rules