Skill UI

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.

Deprecated compatibility redirect for Amazon Aurora DSQL guidance. Points users to the canonical DSQL skill in awslabs/agent-plugins covering distributed SQL schemas, migrations, queries, authentication, and performance.

Deprecated compatibility redirect that points Aurora DSQL requests to the canonical dsql skill in awslabs/agent-plugins, covering schemas, migrations, queries, authentication and performance guidance.

Deprecated compatibility redirect for Aurora DSQL guidance. Points requests about DSQL schemas, migrations, queries, authentication, performance, or application development to the canonical dsql skill in awslabs/agent-plugins.

This skill provides comprehensive guidance and code examples for implementing advanced Role-Based Access Control (RBAC) for Canva Connect API integrations. It guides developers on managing user scopes, defining roles (Viewer, Creator, Admin), and enforcing granular permissions at the application middleware level, which is essential for secure and scalable Canva Enterprise deployments.

A comprehensive runbook providing structured guidance for rapid incident response when encountering failures with the Canva Connect API integration. It guides users through initial triage (checking status, error rates), outlines immediate mitigation strategies for common API errors (401, 429, 5xx), and covers standardized communication templates and detailed post-incident procedures, including log collection and root cause analysis.

This skill provides comprehensive guidance for deploying and managing GPU-accelerated AI inference services on CoreWeave Kubernetes (CKS). It covers best practices including containerization using NVIDIA CUDA base images, configuring specific GPU resource limits (A100/H100), setting up robust health checks, and executing controlled rolling updates. Ideal for managing multi-model inference and scaling demanding AI workloads in a cloud environment.

This skill outlines how to implement and manage Role-Based Access Control (RBAC) and namespace isolation for multi-team GPU workloads running on CoreWeave's Kubernetes platform. It provides guidance on setting strict resource quotas, preventing noisy-neighbor issues, and defining granular roles (e.g., ML Engineer, Inference Operator). This is essential for maintaining resource isolation, ensuring compliance (SOC 2, HIPAA), and managing access across large-scale cloud deployments.

This skill redirects deprecated requests to the canonical Aurora DSQL skill for managing distributed SQL schemas, migrations, queries, authentication, and performance. It supports application development on AWS Aurora databases. Users should follow the installation instructions in awslabs/agent-plugins for the verified plugin.

This skill serves as a deprecated compatibility redirect for Aurora DSQL guidance. It is used when requests concern DSQL, Aurora DSQL, distributed SQL, schemas, migrations, queries, authentication, performance, or application development. Users should follow the canonical DSQL skill in awslabs/agent-plugins instead.

This skill provides comprehensive guidance on optimizing complex integrations with the Figma API to minimize operational costs and prevent hitting rate limits. It covers architectural best practices, such as transitioning from inefficient polling to webhook-driven systems, batching multiple requests, and using parameters like `depth=1`. Essential for building scalable, cost-effective SaaS solutions.