Skill UI

A comprehensive readiness checklist for deploying clinical AI systems, such as Abridge, within regulated healthcare environments. It covers critical aspects including HIPAA compliance, Business Associate Agreements (BAA), EHR integration validation (FHIR R4), robust infrastructure security (TLS 1.3, secrets management), and provides structured scripts for pre-launch validation and post-launch rollback planning.

This skill provides comprehensive guidance on implementing HIPAA-compliant security measures for Abridge clinical AI integrations. It covers critical areas such as enforcing TLS 1.3 encryption in transit, AES-256 encryption at rest, implementing role-based access controls (RBAC), detailed PHI-safe audit logging, and best practices for secrets management, ensuring full compliance with HIPAA regulations.

This skill guides the design, implementation, and auditing of inclusive digital products based on WCAG 2.2 standards. It covers the POUR principles and provides technical guidance for generating semantic ARIA (Web) and native accessibility traits (iOS/Android). Use it when defining UI components, auditing compliance gaps, or ensuring robust keyboard navigation and focus management.

A comprehensive guide to setting up CI/CD pipelines for Adobe API integrations. It covers secure OAuth credential management, unit testing, secret pattern scanning, and rigorous integration testing within GitHub Actions. Essential for maintaining high code quality in Adobe-integrated SaaS products.

This guide details configuring enterprise-grade Role-Based Access Control (RBAC) for Adobe services. It covers integrating Adobe Admin Console with external Identity Providers (Azure AD, Google Workspace) using SCIM provisioning, automating user provisioning via the User Management API (UMAPI), and defining custom product profiles to enforce fine-grained, centralized permissions across the organization.

This guide outlines best practices for configuring and securing Adobe API access across Development, Staging, and Production environments. It details the use of separate Developer Console projects, implementing least-privilege OAuth scopes, and integrating robust secret management solutions (GCP Secret Manager, AWS Secrets Manager, HashiCorp Vault) into CI/CD pipelines for secure, scalable deployments.

This comprehensive guide details multiple strategies for configuring Algolia across distinct environments (development, staging, production). It covers best practices such as index prefixing, scoped API keys, environment variable management, and implementing isolation guards, ensuring data integrity and reliable search functionality in CI/CD pipelines.

This guide provides production-ready, high-quality patterns for integrating with Algolia Search v5. It covers critical architectural aspects such as implementing singleton client management, performing strongly typed searches, robust error handling (including specific API error codes), efficient batch indexing, and handling multi-tenant environments. Use these patterns to refactor existing code and establish reliable coding standards.

Provides a comprehensive guide for managing Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. It covers direct query execution, robust schema management, safe schema evolution, multi-tenant isolation patterns, and IAM authentication. Use cases include database development, complex migrations (e.g., MySQL to DSQL), and optimizing query performance using detailed plan explainability tools.

This guide outlines critical security best practices for design-to-code pipelines using Anima and Figma. It covers securing API credentials by restricting token scopes (e.g., read-only access for Figma), enforcing server-side execution for SDKs, and implementing robust secret management using cloud services like GCP Secret Manager. This minimizes the risk of credential leakage in CI/CD environments.

This skill guides the secure deployment of Claude API integrations into production cloud environments. It provides comprehensive instructions for implementing services across multiple infrastructures, including Docker, GCP Cloud Run, and Kubernetes. The guide covers best practices such as secret management, health checks, and reliable rollback procedures to ensure high service reliability.

A comprehensive guide for configuring and managing organization-level access control within the Anthropic ecosystem. It details Workspaces setup (Production, Staging, Development), defines roles (Owner, Admin, Developer), and provides best practices for API key management. Includes practical Python code examples for implementing application-level Role-Based Access Control (RBAC) to restrict model access and usage limits.