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Avalonia ViewModels and Wizard Patterns

avalonia-viewmodels-zafiro

sickn33/agentic-awesome-skills

This skill provides optimal best practices and patterns for building ViewModels, Wizards, and managing complex navigation flows in Avalonia applications. It leverages the power of ReactiveUI for functional state management and Zafiro for structured command handling, ensuring the creation of robust, maintainable, and scalable MVVM architectures.

Azure AI Anomaly Detector Java SDK

azure-ai-anomalydetector-java

sickn33/agentic-awesome-skills

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.

Azure AI Document Intelligence SDK

azure-ai-document-intelligence-dotnet

sickn33/agentic-awesome-skills

Extract text, tables, and structured data from documents using the Azure AI Document Intelligence .NET SDK with prebuilt and custom models.

Azure Document Intelligence SDK

azure-ai-document-intelligence-ts

sickn33/agentic-awesome-skills

Extract text, tables, and structured data from documents using Azure AI Document Intelligence REST SDK for TypeScript. Supports prebuilt models for invoices, receipts, ID documents, and custom model training.

Azure Document Intelligence Java SDK

azure-ai-formrecognizer-java

sickn33/agentic-awesome-skills

Build document analysis applications using the Azure AI Document Intelligence SDK for Java, covering client creation, prebuilt models, layout extraction, receipt analysis, and custom model training.

Azure ML SDK v2

sickn33/agentic-awesome-skills

Manage Azure Machine Learning resources including workspaces, data assets, models, compute clusters, jobs, pipelines, and environments using the Azure ML SDK v2 for Python. Ideal for end-to-end ML workflow automation.

Azure AI Voice Live SDK .NET

azure-ai-voicelive-dotnet

sickn33/agentic-awesome-skills

This .NET SDK enables developers to build real-time voice AI applications using Azure AI Voice Live. It supports bidirectional WebSocket communication, function calling, and multiple voice models like GPT-4o. Ideal for creating voice assistants with natural conversation flows and audio processing capabilities.

Azure Cosmos DB Python Implementation

azure-cosmos-db-py

sickn33/agentic-awesome-skills

Build production-grade Azure Cosmos DB NoSQL services using Python with FastAPI. Covers authentication, service layer architecture, Pydantic models, and TDD principles for secure backend development.

Azure Functions Expert Patterns

azure-functions

sickn33/agentic-awesome-skills

Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models.

BDI Mental State Modeling

bdi-mental-states

sickn33/agentic-awesome-skills

Transform external RDF context into agent mental states (beliefs, desires, intentions) using formal BDI ontology patterns. Supports deliberative reasoning, explainability, and semantic interoperability in multi-agent systems.

Behavioral X-Ray For AI Models

bdistill-behavioral-xray

sickn33/agentic-awesome-skills

This skill systematically probes an AI model's core behavioral patterns across six critical dimensions, including reasoning, refusal, formatting, and grounding. It generates a comprehensive, styled HTML report with radar charts and actionable insights, allowing users to understand a model's true capabilities, compare different models, or perform compliance and red-team assessments without needing an external API key.

Structured Knowledge Extraction From AI Models

bdistill-knowledge-extraction

sickn33/agentic-awesome-skills

bdistill transforms AI interactions into a structured, queryable knowledge base. It extracts, structures, and quality-scores domain knowledge from both closed-source AI models (in-session) and local open-source models (via Ollama). Users can build comprehensive reference datasets, Q&A pairs, or generate structured training data for traditional machine learning, ensuring validated and exportable domain expertise.

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