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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 components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using best practices.
Update a markdown file section with an index/table of files from a specified folder.
Generate a complete Model Context Protocol server project in Swift using the official MCP Swift SDK package.
Create GitHub Issues for unimplemented requirements from specification files using feature_request.yml template.
Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.
Systematic Power BI performance troubleshooting prompt for identifying, diagnosing, and resolving performance issues in Power BI models, reports, and queries.
Triage and resolve Arch Linux issues with pacman, systemd, and rolling-release best practices.
Analyze chatmode or prompt files and recommend optimal AI models based on task complexity, required capabilities, and cost-efficiency
Create GitHub Issue for feature request from specification file using feature_request.yml template.
Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.
Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations
Containerize an ASP.NET Core project by creating Dockerfile and .dockerfile files customized for the project.