github/awesome-copilot
These skills were imported into SkillJury from the public skills ecosystem.
csharp-mcp-server-generator
by github/awesome-copilot
Source details, install context, and public review data are available on the full page.
csharp-mstest
by github/awesome-copilot
Your goal is to help me write effective unit tests with modern MSTest, using current APIs and best practices.
csharp-nunit
by github/awesome-copilot
Your goal is to help me write effective unit tests with NUnit, covering both standard and data-driven testing approaches.
csharp-tunit
by github/awesome-copilot
Your goal is to help me write effective unit tests with TUnit, covering both standard and data-driven testing approaches.
dataverse-python-quickstart
by github/awesome-copilot
You are assisting with Microsoft Dataverse SDK for Python (preview). Generate concise Python snippets that:
dataverse-python-usecase-builder
by github/awesome-copilot
Source details, install context, and public review data are available on the full page.
declarative-agents
by github/awesome-copilot
I'll help you create and develop Microsoft 365 Copilot declarative agents using the latest v1.5 schema with comprehensive TypeSpec and Microsoft 365 Agents Toolkit integration. Choose from three specialized workflows:
editorconfig
by github/awesome-copilot
Source details, install context, and public review data are available on the full page.
entra-agent-user
by github/awesome-copilot
An agent user is a specialized user identity in Microsoft Entra ID that enables AI agents to act as digital workers. It allows agents to access APIs and services that strictly require user identities (e.g., Exchange mailboxes, Teams, org charts), while maintaining appropriate security boundaries.
fedora-linux-triage
by github/awesome-copilot
Source details, install context, and public review data are available on the full page.
finalize-agent-prompt
by github/awesome-copilot
Source details, install context, and public review data are available on the full page.
first-ask
by github/awesome-copilot
Source details, install context, and public review data are available on the full page.
gen-specs-as-issues
by github/awesome-copilot
This workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation.
go-mcp-server-generator
by github/awesome-copilot
Generate a complete, production-ready Model Context Protocol (MCP) server project in Go.
java-add-graalvm-native-image-support
by github/awesome-copilot
Source details, install context, and public review data are available on the full page.
java-mcp-server-generator
by github/awesome-copilot
Generate a complete, production-ready MCP server in Java using the official Java SDK with Maven or Gradle.
java-refactoring-remove-parameter
by github/awesome-copilot
Source details, install context, and public review data are available on the full page.
kotlin-mcp-server-generator
by github/awesome-copilot
Generate a complete, production-ready Model Context Protocol (MCP) server project in Kotlin.
mcp-configure
by github/awesome-copilot
This skill configures the Dataverse MCP server for GitHub Copilot with your organization's environment URL. Each organization is registered with a unique server name based on the org identifier (e.g., DataverseMcporgbc9a965c ). If the user provided a URL it is: $ARGUMENTS.
mcp-copilot-studio-server-generator
by github/awesome-copilot
Generate a complete Power Platform custom connector with Model Context Protocol (MCP) integration for Microsoft Copilot Studio. This prompt creates all necessary files following Power Platform connector standards with MCP streamable HTTP support.
mcp-create-adaptive-cards
by github/awesome-copilot
Source details, install context, and public review data are available on the full page.
mcp-create-declarative-agent
by github/awesome-copilot
Source details, install context, and public review data are available on the full page.
mcp-deploy-manage-agents
by github/awesome-copilot
Source details, install context, and public review data are available on the full page.
model-recommendation
by github/awesome-copilot
Analyze .agent.md or .prompt.md files to understand their purpose, complexity, and required capabilities, then recommend the most suitable AI model(s) from GitHub Copilot's available options. Provide rationale based on task characteristics, model strengths, cost-efficiency, and performance trade-offs.