copilot▌

Analyze current repository context and suggest relevant Custom Agents files from the GitHub awesome-copilot repository that are not already available in this repository. Custom Agent files are located in the agents folder of the awesome-copilot repository.

Generate complete MCP server implementations optimized for Copilot Studio with Power Platform connector standards. \n \n Produces all required files (apiDefinition.swagger.json, apiProperties.json, script.csx, and MCP server code) following Power Platform connector structure with x-ms-agentic-protocol: mcp-streamable-1.0 support \n Enforces Copilot Studio schema constraints: no reference types, single-type fields only, primitive types, and full URI endpoints to ensure compatibility \n Generates

Generates production-ready GitHub Copilot configuration files tailored to your project's technology stack. \n \n Gathers project information (language, framework, tech stack, development style) and creates a complete .github/ directory structure with instructions, skills, and agents \n Generates language-specific instruction files, testing standards, security guidelines, and code review practices with attribution to awesome-copilot patterns where applicable \n Creates six reusable skills (compon

Interactive step-by-step tutorials for GitHub Copilot CLI with separate Developer and Non-Developer learning paths. \n \n Offers three core modes: Tutorial (guided lessons), Q&A (on-demand answers), and Reset (start over) \n Includes 7 shared and track-specific lessons covering prompts, permissions, slash commands, file mentions, planning, and advanced features like MCP servers \n Tracks progress with SQL-backed lesson completion and supports mid-tutorial track switching \n Provides beginne

Analyze current repository context and suggest relevant prompt files from the GitHub awesome-copilot repository that are not already available in this repository.

Query Microsoft 365 data with natural language to surface emails, meetings, documents, Teams messages, and people insights. \n \n Supports five data sources: emails, meetings, documents, Teams channels, and people/projects with natural-language prompts \n Install via Copilot CLI plugin (preferred) or standalone npm package; requires Microsoft 365 tenant admin consent on first use \n Core workflow: clarify intent, craft precise prompts with timeframe/source, run workiq ask --question \"...\" , an

Programmatic agent runtime for embedding Copilot's agentic workflows in applications across Python, TypeScript, Go, and .NET. \n \n Exposes the same production-tested engine behind Copilot CLI with support for streaming responses, custom tool definitions, and multi-turn conversations \n Supports four language runtimes (Node.js 18+, Python 3.8+, Go 1.21+, .NET 8.0+) with consistent APIs across all platforms \n Enables integration with MCP servers for pre-built tools, custom agent personas with sp

Use this skill for the specific workaround where Claude Code keeps its Anthropic-shaped client behavior, but the actual backend traffic is sent to a local LiteLLM proxy and then forwarded to GitHub Copilot.

Project-specific context for conversations through curated documentation, code, and team instructions. \n \n List and load Copilot Spaces using MCP read-only tools; create, update, and delete spaces via GitHub REST API with gh api \n Spaces contain attached repositories, files, documentation, and custom instructions that ground Copilot responses in actual project knowledge \n Use spaces to answer architecture and standards questions, generate code following team conventions, or execute multi-ste