lindy-enterprise-rbac
Configure enterprise role-based access control for Lindy AI workspaces. Use when setting up team permissions, managing workspace access, or implementing enterprise security policies with SSO/SCIM. Trigger with phrases like "lindy permissions", "lindy RBAC", "lindy access control", "lindy enterprise security", "lindy SSO". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill lindy-enterprise-rbac --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Lindy Enterprise RBAC ## Overview Lindy organizes access around **workspaces** where agents live. Team members are assigned roles that control who can create, modify, run, or observe agents and their execution history. Enterprise features add SSO, SCIM, audit logs, and granular permission controls. ## Prerequisites - Lindy Team ($49.99/mo + $19.99/seat) or Enterprise plan - Workspace owner privi
What does the lindy-enterprise-rbac skill do?
Configure enterprise role-based access control for Lindy AI workspaces. Use when setting up team permissions, managing workspace access, or implementing enterprise security policies with SSO/SCIM. Trigger with phrases like "lindy permissions", "lindy RBAC", "lindy access control", "lindy enterprise security", "lindy SSO". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill lindy-enterprise-rbac --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.