Skill UI

A meta-skill that evaluates task complexity, selects and combines appropriate skills from local or catalog sources, records successful skill combinations via agent-memory-mcp, and guards against over-engineering simple tasks.

Provides a Python SDK workflow for creating container-based hosted agents in Azure AI Foundry using ImageBasedHostedAgentDefinition. Covers installation, authentication, agent creation, versioning, resource allocation, and tool configuration.

This skill enables users to generate images and videos using the Atlas Cloud asynchronous media API. It includes model discovery, schema validation, task submission, and safe polling for results. Requires an API key and HTTPS calls. Suitable for workflows needing media generation without bundling SDKs.

This skill enables independent auditing of AI agent, gateway, or automation workflow runs. It reconstructs events from traces, checkpoints, and tool calls to verify success claims without trusting self-reports. Users establish contracts, build claim ledgers, normalize evidence, rank witnesses, and assign verdicts like proven or contradicted. It ensures integrity in multi-step automation and separates autonomous success from human-assisted outcomes.

Auri is an intelligent voice assistant product combining Alexa and Claude capabilities. This skill covers product vision, persona 'Vitoria Neural', AWS stack, Free/Pro/Business/Enterprise pricing model, 4-phase roadmap, GTM strategy, north star metric WAC, and competitive analysis.

Design patterns for building autonomous coding agents, including tool calling APIs, permission systems, browser automation, and human-in-the-loop workflows. Inspired by Cline and OpenAI Codex, this skill provides guidance for creating efficient and safe AI agents.

Autonomous agents are AI systems capable of independent goal decomposition, action planning, tool execution, and self-correction without constant human guidance. This skill focuses on ensuring reliability in agent loops like ReAct and Plan-Execute, managing context usage, and handling compounding error rates. It emphasizes building constrained, domain-specific agents for production reliability rather than unrestricted autonomy.

Low-level .NET SDK for creating and managing persistent AI agents with threads, messages, runs, and tools. Supports function calling, file search, vector stores, and streaming responses.

Build Java applications with Azure AI Anomaly Detector SDK for univariate and multivariate time-series anomaly detection, streaming detection, change point detection, model training, and batch inference.

Build content moderation applications using the Azure AI Content Safety SDK for Java. Covers text and image analysis, harm categories, severity levels, and blocklist management.

Azure AI Content Safety SDK for Python to detect harmful text and images, manage custom blocklists, and classify severity for AI moderation.

Python SDK for Azure AI Content Understanding service. Enables multimodal content extraction from documents, images, audio, and video files. Supports prebuilt analyzers for RAG and custom field extraction for automated workflows. Ideal for developers building AI-driven applications.