Skill UI

Impact Analysis Helper automatically activates within enterprise workflows to guide compliance, governance, and integration scenarios; it offers step-by-step best practices, production-ready output, and validation for impact analysis requests.

Automates Jira ticket generation inside enterprise workflows by responding to trigger phrases with step-by-step guidance, code/configuration samples, and validation aligned with governance, compliance, and integration practices.

Guides enterprise teams through automating Jira workflow creation by applying best practices, generating production-ready code and configurations, and validating outputs for governance, compliance, and integration scenarios.

Implements robust Role-Based Access Control (RBAC) for Juicebox, an AI-powered platform for recruiting and sales. This system defines granular permissions for various roles (Admin, Recruiter, Analyst, etc.), controlling access to sensitive candidate databases, data enrichment capabilities, outreach functions, and data export. It ensures data governance, maintains compliance (e.g., SOC 2), and segments user access based on job function and need-to-know principles.

Automates KPI dashboard template tasks within enterprise workflows by offering guidance, best-practice patterns, production-ready code/configuration, and validation for compliance, governance, and integration scenarios.

This comprehensive guide details how to configure robust Role-Based Access Control (RBAC) for Lindy AI workspaces. It is essential for setting up team permissions, managing complex workspace access, and enforcing enterprise security policies. Learn how to implement advanced features like SSO, SCIM synchronization, and detailed audit logging to ensure data security and separation of duties across large organizations.

Automates the setup and best practices for linear issue generation within enterprise workflows, offering guidance, production-ready code, and validation for governance, compliance, and integration tasks.

This skill guides users on configuring advanced access controls within Lokalise Enterprise. It details how to implement fine-grained role-based access control (RBAC), manage complex permissions (Admin, Reviewer, Translator) using API calls, enforce language-level scoping, and handle team-level user assignments. Furthermore, it provides instructions for integrating Single Sign-On (SSO) and creating contributor groups for scalable enterprise management.

This guide details how to implement Role-Based Access Control (RBAC) and comprehensive workspace management for Mistral AI at the enterprise level. It covers creating scoped API keys, setting resource limitations (rate limits, model access), enforcing spending budgets, key auditing, and automating key rotation. It is essential for large organizations requiring strict governance, security, and cost control when integrating Mistral AI into production systems.

This system implements Role-Based Access Control (RBAC) for OpenEvidence, an AI-powered clinical decision support platform. It strictly manages access to sensitive data, including PHI-adjacent datasets and medical literature, ensuring compliance with regulations like HIPAA. The system defines distinct roles—Admin, Clinician, Researcher, Student, and Auditor—with granular permissions for querying, data export, and institutional configuration, maintaining a secure and auditable data environment.

Provides auto-triggered guidance for creating enterprise risk assessments, covering workflows that span governance, compliance, project management, and integration best practices while validating outputs for production readiness.

Automates enterprise workflow roadmap generation by triggering whenever roadmap needs occur, guiding best practices, producing production-ready artifacts, and validating against governance and compliance standards.