Skill UI

Audits IAM policies, ACLs, and similar access control setups via the access-control-auditor plugin to surface misconfigurations, overly permissive roles, and privilege escalation risks across cloud and infrastructure environments.

Audits IAM policies, ACLs, and similar access control setups via the access-control-auditor plugin to surface misconfigurations, overly permissive roles, and privilege escalation risks across cloud and infrastructure environments.

Overview of secure authentication and authorization patterns covering JWT access/refresh flows, middleware enforcement, OAuth2 PKCE login, RBAC permissions, and anti-patterns/checklists for modern web apps.

Overview of secure authentication and authorization patterns covering JWT access/refresh flows, middleware enforcement, OAuth2 PKCE login, RBAC permissions, and anti-patterns/checklists for modern web apps.

This skill automates the validation of AWS environments against critical industry compliance benchmarks. It performs detailed checks for CIS AWS Foundations, PCI-DSS, HIPAA, and SOC 2 standards, covering key areas like Identity and Access Management (IAM), logging, data protection, and network security. Essential for preparing for regulatory audits and maintaining continuous secure operations.

This comprehensive guide provides scripts and best practices for auditing, hardening, and enforcing AWS Identity and Access Management (IAM) policies. It covers implementing least privilege, defense in depth, and auditing for overly permissive actions, unused roles, and outdated access keys, significantly enhancing cloud security posture.

This SDK provides programmatic access to Azure AI Content Understanding, enabling the extraction of structured and semantic content from diverse multimodal sources. It supports analyzing documents (PDF, etc.), images, audio, and video files. Users can leverage prebuilt analyzers (like invoice or document search) or create custom analyzers with specific field schemas for advanced RAG and automated workflow implementations.

This SDK provides programmatic access to Azure AI Content Understanding, enabling the extraction of structured and semantic content from diverse multimodal sources. It supports analyzing documents (PDF, etc.), images, audio, and video files. Users can leverage prebuilt analyzers (like invoice or document search) or create custom analyzers with specific field schemas for advanced RAG and automated workflow implementations.

The official client library for interacting with Azure OpenAI services in .NET. It provides comprehensive access to various OpenAI models, including GPT-4o, embeddings, image generation (DALL-E), and audio transcription (Whisper). Use cases include building advanced chat applications, generating structured JSON outputs, and implementing Retrieval-Augmented Generation (RAG).

This is a high-level SDK for .NET that provides comprehensive client access to Azure AI Foundry services. It enables developers to manage complex AI workflows, including creating and managing conversational agents, handling data connections, uploading datasets, managing model deployments, and setting up search indexes within an Azure AI project structure. Ideal for integrating advanced AI capabilities into enterprise applications.

A comprehensive Python SDK for accessing Azure AI Language service capabilities. It enables advanced Natural Language Processing (NLP) features, including sentiment analysis, named entity recognition (NER), key phrase extraction, language detection, and sensitive PII detection. Ideal for building sophisticated text analysis applications and data pipelines.

A comprehensive Python SDK for accessing Azure AI Language service capabilities. It enables advanced Natural Language Processing (NLP) features, including sentiment analysis, named entity recognition (NER), key phrase extraction, language detection, and sensitive PII detection. Ideal for building sophisticated text analysis applications and data pipelines.