全部能力

Expert skill for building web-based game engines and games using HTML5, Canvas, WebGL, and JavaScript. Use when asked to create games, build game engines,…

评估和改进 AI 智能体输出的模式与技术。在以下场景使用此技能： - 实现自我批评与反思循环 - 构建面向高质量生成的评估器-优化器流水线 - 创建测试驱动的代码精化工作流 - 设计基于评分标准或以 LLM 为评判的评估系统 - 为智能体输出（代码、报告、分析）添加迭代改进机制 - 衡量并提升智能体响应质量

Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices

精通 React Native 样式、导航与 Reanimated 动画，用于跨平台移动开发。适用于构建 React Native 应用、实现……

Create an Architectural Decision Record (ADR) document for AI-optimized decision documentation.

使用 Chrome DevTools MCP 分析 Web 性能。测量核心 Web 指标 (LCP、INP、CLS) 及辅助指标 (FCP、TBT、Speed Index)，识别…

Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star…

Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.

掌握 Godot 4 GDScript 模式，包括信号、场景、状态机和优化。适用于构建 Godot 游戏、实现游戏系统或……

Comprehensive Power BI DAX formula optimization prompt for improving performance, readability, and maintainability of DAX calculations.

Skill converted from mcp-deploy-manage-agents.prompt.md

Analyze chatmode or prompt files and recommend optimal AI models based on task complexity, required capabilities, and cost-efficiency

Comprehensive Power BI data model design review prompt for evaluating model architecture, relationships, and optimization opportunities.

Systematic Power BI performance troubleshooting prompt for identifying, diagnosing, and resolving performance issues in Power BI models, reports, and queries.

Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data…

Containerize an ASP.NET Core project by creating Dockerfile and .dockerfile files customized for the project.

Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations

Generate a complete MCP server implementation optimized for Copilot Studio integration with proper schema constraints and streamable HTTP support

Analyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.

Analyze Azure resources used in the app (IaC files and/or resources in a target rg) and optimize costs - creating GitHub issues for identified optimizations.