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MCP Server Release Quality Assurance

github/awesome-copilot

This skill verifies an MCP server before release by exercising a real protocol session. It compares runtime capabilities with source code and documentation, tests failure paths, and records reproducible evidence. Use this when shipping or reviewing an MCP server, tool, resource, prompt, catalog, or install path to ensure protocol behavior and transport correctness.

Commitment Triage and Verdicts

accint-commitments

sickn33/agentic-awesome-skills

Triage acc's open promises and close them with honest real-world verdicts via acc_act(runtime="outcome"). Lists open commitments, grades outcomes, and enforces provenance discipline so only reality or owner validation counts.

Agent Harness Fault Injection

agent-harness-fault-injection

sickn33/agentic-awesome-skills

This skill enables deterministic fault injection testing for agent workflows to verify recovery mechanisms, state preservation, and safety boundaries. It generates fault matrices and event timelines to distinguish between recovered, contained, and unrecoverable failures without impacting production systems or real user data.

Async Python Concurrency Patterns

async-python-patterns

sickn33/agentic-awesome-skills

This skill provides comprehensive guidance on implementing high-performance, non-blocking applications in Python. It utilizes asyncio, async/await, and advanced concurrency patterns to handle I/O-bound workloads efficiently. Ideal for building async web APIs, real-time systems, and concurrent data processing.

Azure AI Text Translation SDK

azure-ai-translation-text-py

sickn33/agentic-awesome-skills

Client library for Azure AI Translator service enabling real-time text translation, transliteration, language detection, dictionary lookup, and sentence boundary detection. Supports multiple languages, custom endpoints, and Azure Entra ID authentication.

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 AI VoiceLive SDK For Java

azure-ai-voicelive-java

sickn33/agentic-awesome-skills

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.

Azure AI Voice Live SDK

azure-ai-voicelive-py

sickn33/agentic-awesome-skills

Build real-time voice AI applications with Azure AI Voice Live SDK using bidirectional WebSocket communication, audio streaming, session configuration, event handling, and function calling.

Azure AI Voice Live SDK

azure-ai-voicelive-ts

sickn33/agentic-awesome-skills

This SDK enables developers to build real-time voice AI applications using JavaScript and TypeScript. It supports bidirectional WebSocket communication for seamless audio and text streaming between users and Azure AI assistants. Ideal for creating voice assistants, customer service bots, and interactive voice experiences in Node.js and browser environments.

Azure Communication Chat Java

azure-communication-chat-java

sickn33/agentic-awesome-skills

Build real-time chat applications in Java using Azure Communication Services, with thread management, messaging, participants, and read receipts.

Azure Event Hubs Java SDK

azure-eventhub-java

sickn33/agentic-awesome-skills

Build real-time streaming applications with Azure Event Hubs SDK for Java. Covers client creation, sending batches, partitioning, consuming events, and using EventProcessorClient with checkpointing.

Azure Event Hubs TypeScript SDK

azure-eventhub-ts

sickn33/agentic-awesome-skills

This skill covers using the Azure Event Hubs SDK for TypeScript to build high-throughput event streaming applications. It includes real-time data ingestion, sending events to specific partitions, receiving events with checkpointing for production reliability, and handling batch processing options. Ideal for IoT telemetry and real-time data pipelines.

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