Skills

Guides users through initiating AI conversations using Codex, demonstrating interaction techniques and best practices for effective communication with AI models.

提供个性化的产品经理职业发展指导，帮助PM解决职业成长、技能提升和职场挑战。

Streamlines AI agent development in Python using Azure AI services, enabling rapid prototyping and deployment of intelligent conversational interfaces

Manages and configures Azure-hosted compute agents for AI development workflows, enabling dynamic provisioning and scaling of computational resources for agent-driven tasks.

Provides a Python-based framework for constructing and configuring AI agent skills with standardized interfaces and modular design patterns.

Generates Java code snippets and provides context-aware assistance for Java development tasks using Azure SDKs and Microsoft AI Foundry.

Enables persistent state management and data retention for .NET-based AI agents, allowing stateful interactions and memory across coding sessions.

Enables persistent state management and data retention for Java-based AI agents, allowing them to maintain context and memory across multiple interactions or sessions.

Generates TypeScript code templates and boilerplate for Azure SDK and Microsoft AI Foundry projects, providing context-aware code generation for TypeScript developers.

Develop and deploy advanced Python-based AI agents with modular architecture, intelligent task planning, and seamless interaction capabilities.

Develop and deploy Python-based AI agents with advanced orchestration, tool integration, and conversational capabilities for complex task automation.

This skill is designed to help developers who simply copy-paste AI-generated ML code without truly understanding it. The main functionality of this skill is to: 1. Explain the meaning and "why" behind each line of code, ensuring the developer truly understands the code. 2. Provide quizzes to verify if the developer has genuinely grasped the concepts. The key use case is to mentor developers who struggle with understanding the underlying principles of the ML code they are using, rather than just blindly applying it.