Skill UI

This Java SDK enables real-time bidirectional voice conversations with AI assistants using WebSocket technology. It supports authentication via API Key or DefaultAzureCredential, configuration for audio input/output (24kHz PCM), voice selection (OpenAI/Azure), and event handling for session management and function calling. Ideal for building voice-enabled applications.

This Java SDK enables centralized management of application configurations in Azure App Configuration. It supports key-value settings, feature flags, and snapshots. Developers can use it to create, update, delete, and retrieve configuration settings securely using connection strings or Entra ID credentials. Ideal for Java applications requiring dynamic configuration management.

This Java library provides shared authentication utilities and data structures for Azure Communication Services (ACS). It supports token management, including static and proactive refresh options for CommunicationTokenCredential. Developers can use it to authenticate users, identify communication entities like phone numbers and Teams users, and handle shared authentication across ACS services like Chat and Calling.

This skill enables users to identify and exploit authentication and session management vulnerabilities in web applications. It covers testing methodologies for password policies, session handling, multi-factor authentication, and credential management. Common tools include Burp Suite and Hydra. It is used for security assessments to prevent account takeover and unauthorized access.

CRED-OMEGA serves as an enterprise operational CISO engine for comprehensive credential and secret management. It integrates with AI coding tools to secure API keys and vaults. Use this skill for specialized security tasks involving credential governance, secret handling, and enterprise security compliance. Avoid for general assistance or when simpler tools are available.

Master Jenkins skills to build, test, and deploy applications using declarative or scripted pipelines. Configure agents, manage plugins, handle credentials, and implement shared libraries for efficient CI/CD workflows in DevOps environments.

Safely select and switch between multiple n8n MCP instances (production, staging, etc.) before performing operations. Prevents silent misrouting by verifying the target instance, especially for credential writes. Ensures correct environment targeting for workflow automation tasks.

Implement secure secret storage and retrieval in CI/CD pipelines using tools like Vault or AWS Secrets Manager. Covers identity management, credential rotation, and security best practices to prevent exposure.

This skill manages and stores approved team context securely using RuVector isolation. It ensures tenant-local data privacy by excluding sensitive credentials and personal information. During retrieval, it preserves provenance and treats data as untrusted. It prevents memory transfer between teams, maintaining strict security boundaries for AI team operations.

Operate and evaluate a local Unified AI System through governed MCP tools without provider credentials. This skill enables secure inspection of AI gateways, including prompt enhancement and authorization boundaries, ensuring safety through content review and Docker image analysis before deployment.

Manage environment variables and secrets safely so credentials never leak into Claude sessions, terminal output, logs, or git commits. Useful for configuring apps, CI pipelines, and shared repos while keeping API keys and tokens protected from accidental exposure.